From abd50524ced06a3e250d562f8e078b2bed388406 Mon Sep 17 00:00:00 2001 From: Jilong Chen Date: Fri, 17 Jul 2026 16:18:47 -0400 Subject: [PATCH 1/8] webui: add the Gradio WebUI, cross-platform and English-first The WebUI comes from kigner's fork and is the bulk of the logic here: https://github.com/kigner/audio.cpp-webui.git (merged at 8924917). It is a Gradio UI over audiocpp_server that loads one model at a time on demand, with model management, background downloads, per-family request profiles, VRAM budgeting and adaptive chunking for TTS/ASR/VC, and a dialogue mode that chains diarization into ASR. All of that is kigner's work and is carried over as-is. That fork targets Windows only and its interface is Chinese only. What this commit adds is the cross-platform and localization work on top: Cross-platform: - Resolve the server binary by OS convention (.exe only on Windows) instead of assuming audiocpp_server.exe, and name run_server.sh/.bat per platform in the messages that mention it. - Find from-source builds in either layout: build/--/bin, where the backend is in the directory name, and a plain `cmake -B build` -> build/bin, which says nothing about the backend and is classified from its CMakeCache (GGML_CUDA:BOOL=ON). Without the second, a stock Linux dev tree found no binary at all and SERVER_EXE pointed at a path that did not exist. - Add run_webui.sh as the POSIX counterpart of run_webui.bat. Localization, English first: - Strings move to webui/locales/.json, chosen by AUDIOCPP_LANG (default en) or the language picker in the UI. en.json is the per-key fallback, so a partial translation degrades to English rather than showing raw keys, and an unknown or malformed locale warns and falls back instead of taking the UI down. Adding a language is dropping in a file. zh.json keeps the fork's original Chinese. - Catalog entries hold English display_name/input_hint; a locale overrides any of them via catalog.., which is how zh.json restores the Chinese model names. Without this the catalog's own strings leaked into the English UI. - t() applies str.format only when given arguments, so a translation can reorder placeholders, and a bad one falls back rather than raising. The picker switches language in place. Gradio bakes each label in when it builds the Blocks tree and cannot rebuild it in another language, so switching means re-labelling every component: a registry maps each component property back to the locale key that produced it, and the handler turns that into one update each. The registry is derived rather than declared. Every localized string already goes through t(), so a component's English text identifies its key by reverse lookup, keeping ~120 call sites free of registration boilerplate. Two cases reverse lookup cannot see, and how they are handled: - Interpolated labels never match their template ("Model list (task=tts)" vs "Model list (task={task})"), so they register explicitly via i18n_register(). - Several keys sharing one English string are ambiguous; _english_key_index() checks whether any locale translates them differently and drops those, leaving the component on its current label rather than risking the wrong one. Switching is process-wide, not per session: Gradio serves one Blocks object to all connections, which suits a local single-user tool. Values the server parses stay English while their labels localize, and the TTS/Voice Design sample texts are only re-localized while untouched, so a switch cannot discard typed input. Gradio's own widget text ("Click to Upload", ...) is compiled into its frontend bundle and picked from the browser locale, so it follows the browser rather than this picker and is left alone; the README says so. Fixed while localizing: - Two loops named their variable `t`, shadowing the translator for the rest of their scope. - The ASR language list built labels as " ", which read as a stutter once the localized name was itself English ("Chinese Chinese"). Comments and docstrings in webui.py are still Chinese and are left for a later pass. model_manager: fetch HF files via huggingface_hub, kigner's fix. Xet-backed repos redirect to a CDN that rejects plain GETs against the resolve URL, so only the hub client can pull their weights. Co-Authored-By: kigner --- .gitignore | 13 + run_webui.sh | 33 + tools/model_manager.py | 37 +- webui/README.md | 353 ++ webui/configs/model_params.json | 108 + webui/configs/models_catalog.json | 361 ++ webui/configs/req_speech.json | 8 + webui/locales/en.json | 307 ++ webui/locales/zh.json | 326 ++ webui/logs/.gitkeep | 0 webui/output/.gitkeep | 0 webui/realtime_pipeline.py | 727 ++++ webui/realtime_server.py | 392 ++ webui/realtime_static/index.html | 235 ++ webui/realtime_static/main.js | 580 +++ webui/realtime_static/style.css | 2674 ++++++++++++++ webui/realtime_static/ui/account.js | 189 + webui/realtime_static/ui/chat.js | 425 +++ webui/realtime_static/ui/dom.js | 37 + .../worklets/audio-playback.js | 171 + webui/realtime_static/worklets/mic-capture.js | 159 + webui/realtime_static/ws/codec.js | 57 + webui/realtime_static/ws/orb-visualizer.js | 98 + webui/realtime_static/ws/s2s-ws-client.js | 1137 ++++++ webui/voice/demo_01_man.wav | Bin 0 -> 905294 bytes webui/voice/demo_02_woman.wav | Bin 0 -> 1896526 bytes webui/voice/demo_3_man.wav | Bin 0 -> 1462350 bytes webui/voice/prompt_text | 6 + webui/voice/ref-w1.wav | Bin 0 -> 917582 bytes webui/voice/zh-Bowen_man.wav | Bin 0 -> 1419940 bytes webui/webui.py | 3231 +++++++++++++++++ 31 files changed, 11660 insertions(+), 4 deletions(-) create mode 100755 run_webui.sh create mode 100644 webui/README.md create mode 100644 webui/configs/model_params.json create mode 100644 webui/configs/models_catalog.json create mode 100644 webui/configs/req_speech.json create mode 100644 webui/locales/en.json create mode 100644 webui/locales/zh.json create mode 100644 webui/logs/.gitkeep create mode 100644 webui/output/.gitkeep create mode 100644 webui/realtime_pipeline.py create mode 100644 webui/realtime_server.py create mode 100644 webui/realtime_static/index.html create mode 100644 webui/realtime_static/main.js create mode 100644 webui/realtime_static/style.css create mode 100644 webui/realtime_static/ui/account.js create mode 100644 webui/realtime_static/ui/chat.js create mode 100644 webui/realtime_static/ui/dom.js create mode 100644 webui/realtime_static/worklets/audio-playback.js create mode 100644 webui/realtime_static/worklets/mic-capture.js create mode 100644 webui/realtime_static/ws/codec.js create mode 100644 webui/realtime_static/ws/orb-visualizer.js create mode 100644 webui/realtime_static/ws/s2s-ws-client.js create mode 100755 webui/voice/demo_01_man.wav create mode 100755 webui/voice/demo_02_woman.wav create mode 100755 webui/voice/demo_3_man.wav create mode 100644 webui/voice/prompt_text create mode 100755 webui/voice/ref-w1.wav create mode 100755 webui/voice/zh-Bowen_man.wav create mode 100644 webui/webui.py diff --git a/.gitignore b/.gitignore index b88632fe..2077e50e 100644 --- a/.gitignore +++ b/.gitignore @@ -28,3 +28,16 @@ __pycache__/ /*.wav /flutter/ /.cache/ + +# --- portable bundle: distributed manually, never committed --- +/audiocpp-portable/ + +# --- WebUI runtime artifacts: keep the source + empty dirs, drop generated files --- +/webui/output/* +!/webui/output/.gitkeep +/webui/logs/* +!/webui/logs/.gitkeep +/webui/third_party/ +/webui/llm_api_key.txt +# personal voice recording — stays local, repo is public +/webui/voice/my-record.wav diff --git a/run_webui.sh b/run_webui.sh new file mode 100755 index 00000000..abafafe9 --- /dev/null +++ b/run_webui.sh @@ -0,0 +1,33 @@ +#!/usr/bin/env bash +# Launch the audio.cpp WebUI on Linux/macOS (POSIX counterpart of run_webui.bat). +# +# The WebUI starts/switches audiocpp_server on demand — pick a model in the UI and +# click load; no need to start a server separately. Backend (cuda|cpu) is auto-detected +# by webui.py from nvidia-smi and the available build; override with AUDIOCPP_BACKEND=gpu|cpu. +# UI language defaults to English; set AUDIOCPP_LANG=zh for Chinese. +set -euo pipefail + +ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" +WEBUI_DIR="$ROOT/webui" + +# Locate a Python that has the deps (gradio/requests/torch/safetensors/...). +PY="" +for cand in \ + "${AUDIOCPP_PYTHON:-}" \ + "$ROOT/venv/bin/python" \ + "$ROOT/.venv/bin/python" \ + "$(command -v python3 || true)" \ + "$(command -v python || true)"; do + if [ -n "$cand" ] && [ -x "$cand" ]; then PY="$cand"; break; fi +done + +if [ -z "$PY" ]; then + echo "[run_webui] no Python found. Create a venv and install deps:" >&2 + echo " python3 -m venv venv && ./venv/bin/pip install gradio requests torch safetensors pyyaml huggingface_hub" >&2 + exit 1 +fi + +echo "[run_webui] python: $PY" +echo "[run_webui] backend: ${AUDIOCPP_BACKEND:-auto} language: ${AUDIOCPP_LANG:-en}" +echo "[run_webui] UI -> http://127.0.0.1:7860" +exec "$PY" "$WEBUI_DIR/webui.py" diff --git a/tools/model_manager.py b/tools/model_manager.py index 9af40949..515624ac 100644 --- a/tools/model_manager.py +++ b/tools/model_manager.py @@ -24,6 +24,7 @@ # Heavy install/convert deps are imported lazily so ``list --json`` / ``info`` # work without Torch in the environment. torch: Any = None +hf_hub_download: Any = None safe_open: Any = None load_file: Any = None save_file: Any = None @@ -31,17 +32,19 @@ def _ensure_install_deps() -> None: - """Import Torch / safetensors / yaml on first install/convert use.""" - global torch, safe_open, load_file, save_file, yaml + """Import Torch / huggingface_hub / safetensors / yaml on first install/convert use.""" + global torch, hf_hub_download, safe_open, load_file, save_file, yaml if torch is not None: return import torch as _torch + from huggingface_hub import hf_hub_download as _hf_hub_download from safetensors import safe_open as _safe_open from safetensors.torch import load_file as _load_file from safetensors.torch import save_file as _save_file import yaml as _yaml torch = _torch + hf_hub_download = _hf_hub_download safe_open = _safe_open load_file = _load_file save_file = _save_file @@ -1639,6 +1642,33 @@ def validate_required_files_list(required_files: Iterable[str], root: Path, labe raise RuntimeError(f"{label} is missing required files: {missing}") +def download_hf_file( + source: SnapshotSource, + relative_path: str, + destination_root: Path, + expected_size: int | None, +) -> None: + """Fetch one repo file into ``destination_root/relative_path`` via huggingface_hub. + + Plain HTTP against the resolve URL cannot be used here: Xet-backed repos redirect + to a CDN that rejects ordinary GETs, so only the hub client (with ``hf_xet``) can + pull their weights. ``local_dir`` writes the file straight to its final location + instead of duplicating it in the shared blob cache. + """ + destination = destination_root / relative_path + if expected_size is not None and destination.is_file() and destination.stat().st_size == expected_size: + print(f"skip {relative_path} (already complete)") + return + print(f"download {relative_path}") + hf_hub_download( + repo_id=source.repo_id, + filename=relative_path, + revision=source.revision, + local_dir=destination_root, + token=huggingface_token(), + ) + + def install_snapshot_into_dir( source: SnapshotSource, destination_root: Path, @@ -1650,8 +1680,7 @@ def install_snapshot_into_dir( for relative, expected_size in files: destination = destination_root / relative destination.parent.mkdir(parents=True, exist_ok=True) - print(f"download {relative}") - download_file(hf_resolve_url(source, relative), destination, expected_size) + download_hf_file(source, relative, destination_root, expected_size) if validate: validate_required_files_list(required_files, destination_root, source.repo_id) diff --git a/webui/README.md b/webui/README.md new file mode 100644 index 00000000..04f0881e --- /dev/null +++ b/webui/README.md @@ -0,0 +1,353 @@ +# audio.cpp WebUI + +A Gradio frontend (`webui.py`) that proxies to the local `audiocpp_server` HTTP API. +It loads models on demand: pick a model in the UI and click load, and the WebUI +(re)starts `audiocpp_server` with a single-model config. One model lives in VRAM at a +time — picking a different model swaps it. No need to start a server yourself. + +## Credit + +The WebUI originates from **[kigner/audio.cpp-webui](https://github.com/kigner/audio.cpp-webui)** +and is the bulk of the logic here — the Gradio UI, on-demand single-model loading, +model management and background downloads, the per-family request profiles, the VRAM +budgeting and adaptive chunking for TTS/ASR/voice conversion, and the dialogue mode +that chains diarization into ASR. + +That fork runs on Windows only and its interface is Chinese only. What was added here +is cross-platform support (Linux/macOS binary and build discovery, `run_webui.sh`) and +the localization layer, with English as the default and the original Chinese kept as a +locale — see [UI language](#ui-language). + +## Launching + +```bash +./run_webui.sh # from the repo root +``` + +Then open **http://127.0.0.1:7860**. + +`run_webui.sh` only locates a Python that has the dependencies and executes +`webui/webui.py`; all detection (backend, server binary, bundle root) happens in +`webui.py`. It tries, in order: `$AUDIOCPP_PYTHON`, `venv/bin/python`, +`.venv/bin/python`, `python3` on `PATH`, `python` on `PATH`. If none is found it +prints the setup command and exits: + +```bash +python3 -m venv venv +./venv/bin/pip install gradio requests torch safetensors pyyaml huggingface_hub +``` + +The web UI on 7860 is for humans. To serve **other programs**, run `audiocpp_server` +directly — see the server section of the root [`README.md`](../README.md) for its +config and endpoints. + +## Conventions + +- **Models are named by catalog id.** `configs/models_catalog.json` maps each `id` to + its `family` / `task` / `path` / `download_id`, so you never write those by hand. + Entries whose model directory is missing show as *not installed*; click Download + Model in the UI to fetch them in the background, or run + `python tools/model_manager.py install --models-root /models`. +- **Backend auto-detection.** `AUDIOCPP_BACKEND=gpu` (=cuda) or `cpu` wins if set. + Otherwise the WebUI picks `gpu` when an NVIDIA driver (`nvidia-smi`, or `nvcuda.dll` + on Windows) **and** a gpu server build are both present, else `cpu`. The CPU backend + works, just slower and with lower model coverage; on it, ggml threads default to all + cores minus one (override with `AUDIOCPP_THREADS=N`). +- **Server binary discovery.** From-source builds are found at + `build/--/bin` (e.g. `build/linux-cuda-release/bin`), where the + backend is in the directory name, newest wins per backend. A plain `cmake -B build` + lands in `build/bin` and says nothing about the backend, so that layout is classified + from its `CMakeCache.txt` (`GGML_CUDA:BOOL=ON` → gpu). A packaged bundle (a root + holding `cpu/ gpu/ models/`) is used when present; override the bundle root with + `AUDIOCPP_BUNDLE`. +- **Long text needs no separate script.** The TTS tab splits long input into chunks, + synthesizes them one by one, and concatenates the result into a single wav. The budget + is per-family: VibeVoice 600 characters/chunk, VoxCPM2 60 (its audiovae decode graph + grows with chunk length on 8G cards), 1000 for everything else. The CLI equivalent is + `audiocpp_cli --batch-text-file --batch-merge-audio concat`. +- **Relative paths** inside the UI (e.g. `voice/demo_01_man.wav`, `output/xxx.wav`) are + relative to the `webui/` directory. + +## UI language + +Pick the language from the dropdown at the top of the page; it re-labels the UI +immediately, no restart. To choose the language it starts in: + +```bash +AUDIOCPP_LANG=zh ./run_webui.sh # default is en +``` + +Strings live in `locales/.json`, one file per language. Shipped: `en.json` +(the source of truth) and `zh.json`. + +- `en.json` is the fallback for any key a translation is missing, so a partial + translation degrades to English rather than to a raw key. +- **Adding a language** means dropping in a new `locales/.json` — no code + change. It appears in the dropdown on the next start. Give it a self-name in + `_LANG_SELF_NAMES` in `webui.py` to be listed as something other than its code. + An unknown or malformed locale logs a warning and falls back to English. +- Catalog entries in `configs/models_catalog.json` carry English `display_name` / + `input_hint`. A locale may override any entry with `catalog..display_name` / + `catalog..input_hint` keys — this is how `zh.json` restores the Chinese model + names. +- Switching is **process-wide, not per browser session**: Gradio serves one Blocks + object to every connection, so there is nowhere to hang per-session labels. Fine + for a local single-user tool; a second open tab will follow along. +- Sample texts (the TTS and Voice Design boxes) are only re-localized while still + untouched, so a switch never discards something you typed. +- Values the server parses stay English no matter the language: the language pickers + and `max_tokens` show a localized label over an unchanged wire value. + +Gradio's own widget text — "Click to Upload", "Submit", error toasts — is **not** +covered by these files. It is compiled into Gradio's frontend bundle and selected +from the browser's locale, so it follows the browser rather than this dropdown: a +zh-CN browser already renders it in Chinese (`点击上传`), an English one does not. +Forcing it would mean lying about `navigator.language` before the bundle loads, and +it could then only change on a page reload, so it is left alone. + +--- + +## WebUI advanced parameters (widgets generated per model) + +The controls under *Synthesis settings → Advanced parameters* on the TTS tab are driven +by **`configs/model_params.json`**: when you select a model, the WebUI dynamically +generates the matching sliders / number boxes / toggles / text boxes (`gr.render`) for +its `family` — no hand-written JSON needed. Below the widgets there is a collapsible +*Other parameters (JSON)* box as an escape hatch for keys the config doesn't list. +General rules: + +- **Only widget values you actually changed are sent with the request** (untouched ones + use the model's own defaults). `options` merge order: family defaults → generated + widgets → JSON box (JSON wins over widgets). +- `seed` and `max_tokens` have dedicated inputs (synthesis settings) and are not + repeated here. +- Use Upload/Record or the built-in reference voices for the reference timbre; put the + transcript of that audio in the *Reference text* box (equivalent to `reference_text`). +- Bad values are usually ignored, or the server errors out — errors are shown **below + the output audio** (no popup card). +- **Chatterbox** clone parameters are fixed at model load time: after changing them you + must click *📥 Load model* again for them to take effect (otherwise you get + "session config is fixed"). + +### Custom widgets (edit `configs/model_params.json`) + +Grouped by `family`, one widget spec per entry: + +```json +{"name": "guidance_scale", "type": "slider", "label": "guidance_scale", + "default": 1.3, "minimum": 0.0, "maximum": 5.0, "step": 0.1, "info": "CFG guidance strength"} +``` + +- `name`: the key passed through to the request `options`. `type`: `slider` / `number` + (`precision:0` for integers) / `bool` / `text` / `choice` (with `choices:[...]`). +- `default` should equal the model's own default (checked against each + `src/models//*.cpp`). +- Click *🔄 Refresh list* in the UI to reload this file — no restart needed. +- File-path and parity-style rare parameters (e.g. `*_noise_file`) have no widget; pass + them via the *Other parameters (JSON)* box. Quantization keys (e.g. + `vibevoice.weight_type`) are covered in the root `README.md`. + +The table below lists the complete set of keys each model's `session.cpp` **actually +reads** (widgets are a curated common subset; the rest still work through the JSON box): + +| Model (family) | Available keys (also usable in the JSON box) | Example | +|---|---|---| +| **Qwen3-TTS** (qwen3_tts) 0.6B / 1.7B / CustomVoice | `do_sample` `temperature` `top_k` `top_p`; CustomVoice builds also take `speaker` | `{"do_sample": true, "temperature": 0.8, "top_k": 40, "top_p": 0.9}`
CustomVoice built-in voice: `{"speaker": ""}` | +| **VibeVoice** (vibevoice) 1.5B long-form/multi-speaker | `num_inference_steps` `guidance_scale` `max_length_times` `do_sample` `temperature` `top_k` `top_p`; multi-speaker `voice_samples` (comma-separated wavs, max 4, **cannot** be combined with a reference voice) | `{"num_inference_steps": 10, "guidance_scale": 1.3, "max_length_times": 2.0}`
Multi-speaker: `{"voice_samples": "/path/to/a.wav,/path/to/b.wav"}` | +| **VoxCPM2** (voxcpm2) | `num_inference_steps` `guidance_scale` `min_tokens` `retry_badcase` `retry_badcase_max_times` `retry_badcase_ratio_threshold`; reference transcript `prompt_text` | `{"num_inference_steps": 10, "guidance_scale": 2.0, "retry_badcase": true}` | +| **MioTTS** (miotts, needs MioCodec) | `temperature` `top_k` `top_p` `repetition_penalty` `presence_penalty` `frequency_penalty` `do_sample` `best_of_n` `best_of_n_enabled` `best_of_n_language` | `{"temperature": 0.9, "top_p": 0.9, "repetition_penalty": 1.1, "best_of_n": 3}` | +| **Chatterbox** (chatterbox, voice cloning) | `exaggeration` `guidance_scale` `temperature` `repetition_penalty` `min_p` `top_p` `s3gen_cfg_rate` `max_new_tokens` `do_sample` `greedy` `stop_on_eos` | `{"exaggeration": 0.5, "guidance_scale": 0.5, "temperature": 0.8, "repetition_penalty": 1.2}` | +| **OmniVoice** (omnivoice) | `instruct` (style/instruction text); `reference_text` (the *Reference text* box is normally enough) | `{"instruct": "read this in a light, brisk tone"}` | +| **Pocket TTS** (pocket_tts) | No dedicated advanced parameters (reference voice + language only) | — | + +> Key names come from the options each model's `src/models//session.cpp` +> actually reads; the same key may have a different range or meaning across models. +> Quantization keys (e.g. `vibevoice.weight_type`, `voxcpm2.*_weight_type`) are covered +> in the quantization section of the root `README.md` — they are not general-purpose +> defaults. + +### Music generation / voice conversion parameter details + +The in-page hints are trimmed; the full explanation lives here. + +**ACE-Step (music generation/editing)** + +- The prompt describes style/instruments/mood (English works best); lyrics are optional. + A duration of `-1` means auto. +- `task_route` operation type: `text2music` = pure text-to-music (default, no source + audio needed); `cover` = re-lyric cover (the main upstream Remix route, used with the + two cover sliders below); `cover-nofsq` = cover variant that skips FSQ quantization; + `remix` = fine-grained flow-edit re-lyric; `complete` / `lego` / `extract` / `repaint` + are other editing routes. **Every route except text2music needs a source audio + upload.** +- After uploading source audio, click *🔍 Analyze source audio* first: it back-infers the + source track's caption/lyrics/BPM/key and fills them into the advanced parameters + (especially recommended before a remix/cover re-lyric; requires *📥 Load model* first, + and takes a few tens of seconds for one minute of audio). The analysis is + reproducible: the same audio analyzes identically every time (VAE mean encoding; with + seed=-1 the analysis always uses 1234 — set a concrete seed to re-roll the lyric + transcription). +- Diffusion parameters: `num_inference_steps` is capped at 20 for turbo, and when left + blank defaults to 16 on the remix route and 8 on the others; `shift` (timestep + warping) defaults to 3.0 to match the upstream turbo UI — dropping it back to 1.0 + noticeably degrades remix re-lyric articulation. +- The two cover-route sliders: + - `audio_cover_strength` (Remix strength): what fraction of the denoising steps + reference the source structure. 1 = close to the original, 0 = free rein; upstream + Remix suggests 0.5. Only applies to cover/cover-nofsq. + - `cover_noise_strength` (melody retention): denoise starting from a partially noised + source. 0 = no melody retention, 0.1–0.25 = recommended range (keeps the melody + while allowing new lyrics/style), higher sticks closer to the original. Only applies + to cover. +- remix (flow-edit) parameters: + - `source_caption` / `source_lyrics`: source-side text conditioning (the source + track's own style caption / original lyrics, with `[Verse]` `[Chorus]` tags). An + empty caption falls back to the main prompt; *🔍 Analyze* can fill these in. + **New lyrics go in the main *Lyrics* box.** + - `flow_edit_n_min` (edit start): the fraction of leading high-noise steps to skip. + 0 = edit from the very beginning; raising it preserves the source more but weakens + the re-lyric. + - `flow_edit_n_max` (edit end): 1 = paired editing throughout; lowering it to 0.7–0.9 + makes the tail denoise toward the new lyrics only — **try this first when the lyrics + won't come through**. + - `flow_edit_n_avg`: samples per step, averaged (remix defaults to 2 for stability), + 1 = fastest. Note that the remix default of 16 steps × n_avg 2 is about 4× the cost + of the old default (8 steps × 1); dial it back manually if you want speed. +- Score parameters `bpm` / `keyscale` (e.g. `F major`, `c# minor`) / `timesignature` + (e.g. `4`): 0/blank = unspecified; *🔍 Analyze* fills them in. + +**Stable Audio (music/sound effects)**: the prompt is **English only** and lyrics are +not used; the music build generates music, the sfx build generates sound effects. +Uploading source audio enables continuation/repair: set `audio_input_kind` to +`init_audio` (with `init_noise_level` for strength) or `inpaint_audio`. + +**HeartMuLa (song generation from lyrics + tags)**: the advanced parameter `tags` is +required (comma-separated, e.g. `pop,bright,drums,female vocals`), and *Lyrics* holds +the sung text. A 3B model; upstream measures ~25G peak VRAM for a 120-second song +(docs/memory_saver.md), so an 8G card can't run it. mem_saver is on by default, and +`infinite_mode` can be enabled for long songs. + +**Seed-VC (voice conversion)**: source speech + a target timbre reference (a few seconds +to a few tens of seconds of clean vocals). Leave `route` blank to use the task default +(vc entries → `v2_vc`, svc entries → `v1_svc`); `v1_whisper_bigvgan_vc` / +`v1_xlsr_hift_vc` are the older v1 routes; `v1_svc` only works with svc entries. +`intelligibility_cfg_rate` / `similarity_cfg_rate` only apply to v2, +`inference_cfg_rate` only to v1. + +**Vevo2 (voice conversion)**: defaults to `route=style_preserved_vc` (keeps the source's +speaking style, swaps only the timbre). A blank `route` uses the entry's task default +(vc → style_preserved_vc, svc → style_preserved_svc, s2s → editing) and must match the +selected entry's task; `style_converted_*` / `editing` additionally need `style_ref` +(a server-local wav path) / `style_ref_text` / `target_text` supplied through the *Other +parameters (JSON)* box. Leave `use_pitch_shift` (global transpose by the source/target +median pitch difference) blank to use the route default: on for style_preserved_* and +the singing routes, off for style_converted_vc / editing. Long audio is adaptively +chunked by "target timbre duration + per-chunk source duration ≤ VRAM budget" and then +concatenated; reference timbre longer than about 10s is truncated automatically (an 8G +VRAM constraint). + +### Per-task input requirements + +- **VibeVoice**: multi-speaker scripts use one `Speaker N: content` per line (N starts + at 0); plain text is automatically wrapped as `Speaker 0: ...`. For distinct voices per + role use the advanced parameter `voice_samples` (comma-separated server-local wavs, ≤4) + — in that case do **not** also upload a reference voice. + **VibeVoice produces gibberish on very short text** (below roughly 40 CJK characters / + 35 English words). This is a model trait — no voice, parameter, or seed fixes it — so the + WebUI rejects such input up front and asks you to lengthen the text or switch to + `qwen3-tts` / `voxcpm2` / `pocket-tts`. For the same reason, a too-short trailing chunk + left over by splitting is merged back into the previous chunk. +- **VoxCPM2 / Qwen3-TTS**: upload or select a clean single-speaker reference voice and + put its transcript in the *Reference text* box, otherwise output may truncate early. + Long text is automatically chunked and concatenated; VoxCPM2 defaults to q8_0 + quantization on 8G cards. +- **Chatterbox**: language supports only english / spanish / french / german / italian / + portuguese / korean (no Chinese/Japanese/Russian, and no auto-detection); blank = + English. +- **Qwen3-ASR**: long audio is automatically split at silences into ≤60-second chunks, + transcribed, and concatenated. *Context hint* takes names/terms/background (e.g. + "meeting about ggml quantization, attendees: …") to help recognize proper nouns. + Conversation mode (limited to 120s) first runs Sortformer speaker diarization (≤4 + speakers), then transcribes each segment into a dialogue transcript with speakers and + timestamps; the Sortformer model must be installed. +- **Audio analysis (VAD/separation/alignment)**: WAV input is converted to 16 kHz mono + before being fed to the model, and result timelines are computed at 16 kHz. Qwen3 + forced alignment handles about 115 seconds of audio per call. +- **Source separation**: HTDemucs outputs four stems — drums/bass/other/vocals (slow on + long audio); Mel-Band RoFormer outputs a vocals stem plus an accompaniment stem + (mixture − vocals). +- **Model downloads** run in the background with auto-refreshing progress; *📊 Download + progress* shows it on demand. + +--- + +## Model id quick reference + +The full list is in `configs/models_catalog.json` (each entry has `id` / `family` / +`path` / `task` / `download_id`). Common ones: + +| id | family | task | Notes | +|---|---|---|---| +| `qwen3-tts` | qwen3_tts | tts | Qwen3-TTS 0.6B (voice cloning) | +| `qwen3-asr` | qwen3_asr | asr | Qwen3-ASR 0.6B | +| `vibevoice` | vibevoice | tts | VibeVoice 1.5B (long-form/multi-speaker, `Speaker N:` scripts) | +| `omnivoice` | omnivoice | tts | OmniVoice | +| `pocket-tts` | pocket_tts | tts | Pocket TTS (needs a reference voice) | + +Not-installed ids are flagged at runtime; click Download in the WebUI, or run +`python tools/model_manager.py install --models-root /models`. + +--- + +## Environment variables + +| Variable | Effect | Default | +|---|---|---| +| `AUDIOCPP_LANG` | UI language; `locales/.json` must exist | `en` | +| `AUDIOCPP_BACKEND` | Force the backend: `gpu` (=`cuda`) or `cpu` | auto-detect | +| `AUDIOCPP_BUNDLE` | Bundle root holding `cpu/ gpu/ models/` | auto-detect | +| `AUDIOCPP_SERVER` | Talk to an already-running server (`http://host:port`) instead of managing one | unset | +| `AUDIOCPP_MODEL_MANAGER` | Path to `model_manager.py` used for downloads | `/tools/model_manager.py`, else `/tools/model_manager.py` | +| `AUDIOCPP_LOAD_TIMEOUT` | Seconds to wait for a model to finish loading | `300` | +| `AUDIOCPP_THREADS` | ggml compute threads | catalog `threads` (1); cpu backend uses cores−1 | +| `AUDIOCPP_SERVER_DEBUG` | `1` passes `--log` to the server, enabling engine `[TRACE]`/`[TIMING]` output | off | +| `AUDIOCPP_NO_BROWSER` | `1` suppresses opening a browser tab | unset | +| `AUDIOCPP_PYTHON` | Python interpreter `run_webui.sh` should use | auto-detect | +| `HF_TOKEN` | HF token for gated/private repos when downloading models (`HUGGING_FACE_HUB_TOKEN` and a cached `huggingface-cli login` also work; the UI has a token field too) | unset | + +--- + +## FAQ + +- **Port already in use**: the WebUI's managed server uses the `port` from + `configs/models_catalog.json` (8081 as shipped) and the UI itself binds 7860. If + something else holds the port, change `port` in the catalog, or set `AUDIOCPP_SERVER` + to reuse an external server. +- **`model path does not exist` / not installed**: the model isn't downloaded. Use the + model_manager command above, or download it from the WebUI. +- **Out of VRAM**: entries carry a `min_vram_gb` estimate and the UI warns when it + exceeds the VRAM it detects. Exceeding it may still run, but it will spill into shared + memory and slow down badly. +- **Cloned speech ends far too early (~0.4s)**: the `voice_ref` audio isn't clean, or + `reference_text` is missing. Use a clean single-speaker reference and give it the + matching transcript. + +--- + +## API vs CLI performance + +Same engine, same backend → **inference itself is identical**. The difference is how +model loading is amortized: + +- `audiocpp_cli` **reloads the model into VRAM on every invocation** (a fixed few-second + cost each time). +- `audiocpp_server` **loads once and stays resident**; each subsequent request costs only + inference plus a tiny bit of transport. Local HTTP plus a few MB of wav is + milliseconds — negligible against multi-second inference (prefer the default binary + wav over `response_format:"json"` base64, which adds about 33%). +- The web UI adds one proxy hop compared with hitting the server directly; other programs + talking to the server skip that hop. + +**Conclusion**: going through the API adds almost nothing per generation — the one-time +warm-up is amortized by the server. Except for "generate exactly once" cases, the API is +usually **faster** than repeatedly invoking the CLI. diff --git a/webui/configs/model_params.json b/webui/configs/model_params.json new file mode 100644 index 00000000..a2ed8ace --- /dev/null +++ b/webui/configs/model_params.json @@ -0,0 +1,108 @@ +{ + "_comment": "WebUI TTS 高级参数控件配置：按模型 family 动态生成控件（gr.render）。每项字段：name=选项键(随请求 options 透传给模型)；type=slider|number|bool|text|choice；label/info=显示文案；default=默认值(应等于模型默认，已按 src/models//*.cpp 校对)；minimum/maximum/step=数值范围；precision=0 表示整数；choices=下拉候选。规则：只有被用户改动过的控件值才会随请求发送；seed/max_tokens 已有专用输入框，勿在此重复；参考文本用『参考文本』框(reference_text)；文件路径/parity 类参数(如 *_noise_file)未纳入，可用『其它参数(JSON)』兜底框传。", + + "qwen3_tts": [ + {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.9, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info": "采样温度，越大越随机"}, + {"name": "top_k", "type": "number", "label": "top_k", "default": 50, "minimum": 0, "step": 1, "precision": 0}, + {"name": "top_p", "type": "slider", "label": "top_p", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.01}, + {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "default": 1.05, "minimum": 1.0, "maximum": 2.0, "step": 0.01}, + {"name": "do_sample", "type": "bool", "label": "do_sample", "default": true}, + {"name": "instruct", "type": "text", "label": "instruct（仅 VoiceDesign/CustomVoice）", "default": "", "placeholder": "风格/音色指令，Base 版忽略"}, + {"name": "speaker", "type": "text", "label": "speaker（仅 CustomVoice）", "default": "", "placeholder": "内置音色名，其它版忽略"} + ], + + "vibevoice": [ + {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0, "info": "扩散步数（官方默认 10），越大越慢越稳"}, + {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 1.3, "minimum": 0.0, "maximum": 5.0, "step": 0.1, "info": "CFG 引导强度"}, + {"name": "max_length_times", "type": "number", "label": "max_length_times", "default": 2.0, "minimum": 0.1, "step": 0.1, "info": "最大输出长度倍数"}, + {"name": "temperature", "type": "slider", "label": "temperature", "default": 1.0, "minimum": 0.05, "maximum": 2.0, "step": 0.05}, + {"name": "top_p", "type": "slider", "label": "top_p", "default": 1.0, "minimum": 0.05, "maximum": 1.0, "step": 0.01}, + {"name": "do_sample", "type": "bool", "label": "do_sample", "default": false}, + {"name": "voice_samples", "type": "text", "label": "voice_samples（多说话人，逗号分隔 wav，≤4）", "default": "", "placeholder": "D:/a.wav,D:/b.wav — 用此项时勿再上传参考音色"} + ], + + "voxcpm2": [ + {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0, "info": "CFM/DiT 步数"}, + {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1}, + {"name": "min_tokens", "type": "number", "label": "min_tokens", "default": 2, "minimum": 0, "step": 1, "precision": 0}, + {"name": "retry_badcase", "type": "bool", "label": "retry_badcase（自动重试异常输出）", "default": true} + ], + + "miotts": [ + {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.8, "minimum": 0.0, "maximum": 2.0, "step": 0.05}, + {"name": "top_k", "type": "number", "label": "top_k", "default": 50, "minimum": 0, "step": 1, "precision": 0}, + {"name": "top_p", "type": "slider", "label": "top_p", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.01}, + {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "default": 1.0, "minimum": 1.0, "maximum": 1.5, "step": 0.01}, + {"name": "best_of_n", "type": "number", "label": "best_of_n（候选数，>1 自动开启）", "default": 1, "minimum": 1, "maximum": 8, "step": 1, "precision": 0} + ], + + "chatterbox": [ + {"name": "exaggeration", "type": "slider", "label": "exaggeration", "default": 0.5, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info": "改动后需重新『加载模型』才生效"}, + {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "改动后需重新『加载模型』才生效"}, + {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.8, "minimum": 0.0, "maximum": 2.0, "step": 0.05}, + {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "default": 1.2, "minimum": 1.0, "maximum": 2.0, "step": 0.01} + ], + + "omnivoice": [ + {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 32, "minimum": 1, "step": 1, "precision": 0, "info": "flow-matching 步数"}, + {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1}, + {"name": "speed", "type": "slider", "label": "speed", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05}, + {"name": "instruct", "type": "text", "label": "instruct（风格/音色指令）", "default": "", "placeholder": "如：以轻快的语气朗读"} + ], + + "pocket_tts": [ + {"name": "frames_after_eos", "type": "number", "label": "frames_after_eos（-1=自动）", "default": -1, "minimum": -1, "step": 1, "precision": 0} + ], + + "ace_step": [ + {"name": "task_route", "type": "choice", "label": "task_route（操作类型）", "default": "text2music", "choices": ["text2music", "complete", "lego", "extract", "cover", "cover-nofsq", "repaint", "remix"], "info": "cover/remix=换词翻唱，非 text2music 需上传源音频；详见 webui/README.md"}, + {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 8, "minimum": 1, "maximum": 20, "step": 1, "precision": 0, "info": "扩散步数（turbo 上限 20）；remix 路由不填时默认 16，其他路由默认 8"}, + {"name": "shift", "type": "slider", "label": "shift（时间步弯曲）", "default": 3.0, "minimum": 1.0, "maximum": 5.0, "step": 0.5, "info": "原版 turbo 默认 3.0；1.0 会明显劣化 remix 换词咬字"}, + {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 1.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1}, + {"name": "audio_cover_strength", "type": "slider", "label": "【cover】audio_cover_strength", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "1=贴近原曲，0=自由发挥；建议 0.5"}, + {"name": "cover_noise_strength", "type": "slider", "label": "【cover】cover_noise_strength", "default": 0.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "保旋律强度；推荐 0.1~0.25"}, + {"name": "source_caption", "type": "text", "label": "【remix】source_caption", "default": "", "placeholder": "源歌曲描述；『🔍 分析』自动填"}, + {"name": "source_lyrics", "type": "text", "lines": 4, "label": "【remix】source_lyrics", "default": "", "placeholder": "源歌曲原歌词；『🔍 分析』自动填"}, + {"name": "flow_edit_n_min", "type": "slider", "label": "【remix】flow_edit_n_min", "default": 0.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "调大更保源曲、换词更弱"}, + {"name": "flow_edit_n_max", "type": "slider", "label": "【remix】flow_edit_n_max", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "唱不出新歌词时降到 0.7~0.9"}, + {"name": "flow_edit_n_avg", "type": "number", "label": "【remix】flow_edit_n_avg", "default": 2, "minimum": 1, "maximum": 4, "step": 1, "precision": 0, "info": "每步多次采样取平均（remix 默认 2）；1=最快"}, + {"name": "bpm", "type": "number", "label": "【曲谱】BPM", "default": 0, "minimum": 0, "step": 1, "precision": 0, "info": "0=不指定"}, + {"name": "keyscale", "type": "text", "label": "【曲谱】keyscale", "default": "", "placeholder": "如 F major"}, + {"name": "timesignature", "type": "text", "label": "【曲谱】timesignature", "default": "", "placeholder": "如 4"} + ], + + "stable_audio": [ + {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 8, "minimum": 1, "step": 1, "precision": 0, "info": "RF 扩散步数"}, + {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 1.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1}, + {"name": "audio_input_kind", "type": "choice", "label": "audio_input_kind（仅上传源音频时生效）", "default": "init_audio", "choices": ["init_audio", "inpaint_audio"]}, + {"name": "init_noise_level", "type": "slider", "label": "init_noise_level（init_audio 强度）", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05} + ], + + "seed_vc": [ + {"name": "route", "type": "choice", "label": "route（转换路径）", "default": "", "choices": ["", "v2_vc", "v1_whisper_bigvgan_vc", "v1_xlsr_hift_vc", "v1_svc"], "info": "留空=按任务默认"}, + {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 30, "minimum": 1, "step": 1, "precision": 0, "info": "CFM 扩散步数"}, + {"name": "length_adjust", "type": "slider", "label": "length_adjust（时长伸缩）", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05}, + {"name": "intelligibility_cfg_rate", "type": "slider", "label": "intelligibility_cfg_rate（仅 v2_vc）", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05}, + {"name": "similarity_cfg_rate", "type": "slider", "label": "similarity_cfg_rate（仅 v2_vc）", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05}, + {"name": "inference_cfg_rate", "type": "slider", "label": "inference_cfg_rate（仅 v1 路径）", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05} + ], + + "vevo2": [ + {"name": "route", "type": "choice", "label": "route（任务路线）", "default": "", "choices": ["", "style_preserved_vc", "style_converted_vc", "style_preserved_svc", "style_converted_svc", "singing_style_conversion", "editing"], "info": "留空=按任务默认；详见 webui/README.md"}, + {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 32, "minimum": 1, "step": 1, "precision": 0, "info": "流匹配步数"}, + {"name": "use_pitch_shift", "type": "choice", "label": "use_pitch_shift（自动音高对齐）", "default": "", "choices": ["", "true", "false"], "info": "留空=按路线默认"}, + {"name": "temperature", "type": "slider", "label": "temperature（AR 路线用）", "default": 0.7, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info": "默认取自模型 generation_config.json"}, + {"name": "top_k", "type": "number", "label": "top_k（AR 路线用）", "default": 20, "minimum": 0, "step": 1, "precision": 0, "info": "默认取自模型 generation_config.json"}, + {"name": "top_p", "type": "slider", "label": "top_p（AR 路线用）", "default": 0.8, "minimum": 0.0, "maximum": 1.0, "step": 0.01} + ], + + "heartmula": [ + {"name": "tags", "type": "text", "label": "tags（必填，逗号分隔）", "default": "", "placeholder": "pop,bright,drums,female vocals", "info": "风格/情绪/乐器/人声标签，模型必需"}, + {"name": "temperature", "type": "slider", "label": "temperature", "default": 1.0, "minimum": 0.0, "maximum": 2.0, "step": 0.05}, + {"name": "top_k", "type": "number", "label": "top_k", "default": 50, "minimum": 0, "step": 1, "precision": 0}, + {"name": "guidance_scale", "type": "slider", "label": "guidance_scale（MuLa CFG）", "default": 1.5, "minimum": 0.0, "maximum": 5.0, "step": 0.1}, + {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps（codec 步数）", "default": 10, "minimum": 1, "step": 1, "precision": 0}, + {"name": "infinite_mode", "type": "bool", "label": "infinite_mode（长输出分段生成）", "default": false}, + {"name": "codec_guidance_scale", "type": "slider", "label": "codec_guidance_scale", "default": 1.25, "minimum": 0.0, "maximum": 5.0, "step": 0.05} + ] +} diff --git a/webui/configs/models_catalog.json b/webui/configs/models_catalog.json new file mode 100644 index 00000000..d5a48bc5 --- /dev/null +++ b/webui/configs/models_catalog.json @@ -0,0 +1,361 @@ +{ + "host": "127.0.0.1", + "port": 8081, + "device": 0, + "threads": 1, + "_comment": "Whitelist of every model family currently enabled in registry.cpp. The WebUI loads ONE model at a time by (re)starting audiocpp_server with a single-model config; paths are relative to the bundle root (where cpu/ gpu/ models/ live). Entries whose directory is missing show as 'not installed'; click Download Model in the UI to fetch them in the background (runs `python tools/model_manager.py install --models-root /models`). 'task' must be one of: tts, asr, vad, diar, sep, gen, clon, vc, s2s, align, vdes, spk, svc. UI tab mapping: tts/clon -> TTS tab, asr -> ASR, gen -> Music Generation, vc/svc/s2s -> Voice Conversion, sep -> Source Separation, vad/diar/align -> Audio Analysis, vdes -> Voice Design. 'download_id' is the model_manager package id (omit for bundled assets like silero_vad). Optional per-entry keys: input_hint (overrides the family hint in webui.py), default_options, min_vram_gb. User-facing strings here are English; a locale may override any entry via 'catalog..display_name' / 'catalog..input_hint' in webui/locales/.json. 'min_vram_gb' = ESTIMATED minimum CUDA VRAM (GB) to run typical requests at this entry's default precision/session_options - sources: docs/memory_saver.md official peak measurements (heartmula 25.6G@120s, stable-audio-medium 10.4G, chatterbox 13.4G, omnivoice 11.4G, qwen3-tts-1.7B 7.5G, stable-audio-small 3.7G), local RTX 4060 8G measurements (vibevoice 6.9G peak, ace-step w/ q8_0 preset), weight-size extrapolation for the rest. The UI warns when it exceeds detected local VRAM; exceeding means it may still run but will spill into shared memory and slow down badly.", + "models": [ + { + "id": "omnivoice", + "display_name": "OmniVoice (tts)", + "family": "omnivoice", + "path": "models/OmniVoice", + "task": "tts", + "mode": "offline", + "download_id": "omnivoice", + "min_vram_gb": 10 + }, + { + "id": "pocket-tts", + "display_name": "Pocket TTS (tts)", + "family": "pocket_tts", + "path": "models/pocket-tts", + "task": "tts", + "mode": "offline", + "download_id": "pocket_tts", + "min_vram_gb": 2 + }, + { + "id": "qwen3-tts", + "display_name": "Qwen3-TTS 0.6B (tts)", + "family": "qwen3_tts", + "path": "models/Qwen3-TTS-12Hz-0.6B-Base", + "task": "tts", + "mode": "offline", + "download_id": "qwen3_tts_0_6b_base", + "min_vram_gb": 5 + }, + { + "id": "qwen3-tts-1.7b", + "display_name": "Qwen3-TTS 1.7B Base (tts)", + "family": "qwen3_tts", + "path": "models/Qwen3-TTS-12Hz-1.7B-Base", + "task": "tts", + "mode": "offline", + "download_id": "qwen3_tts_1_7b_base", + "min_vram_gb": 8 + }, + { + "id": "qwen3-tts-1.7b-custom", + "display_name": "Qwen3-TTS 1.7B CustomVoice (tts)", + "family": "qwen3_tts", + "path": "models/Qwen3-TTS-12Hz-1.7B-CustomVoice", + "task": "tts", + "mode": "offline", + "download_id": "qwen3_tts_1_7b_custom_voice", + "min_vram_gb": 8 + }, + { + "id": "miotts", + "display_name": "MioTTS 1.7B (tts; needs MioCodec)", + "family": "miotts", + "path": "models/MioTTS-1.7B", + "task": "tts", + "mode": "offline", + "download_id": "miotts_1_7b", + "min_vram_gb": 8 + }, + { + "id": "voxcpm2", + "display_name": "VoxCPM2 (tts)", + "family": "voxcpm2", + "path": "models/VoxCPM2", + "task": "tts", + "mode": "offline", + "download_id": "voxcpm2", + "session_options": { + "voxcpm2.weight_type": "q8_0" + }, + "min_vram_gb": 6 + }, + { + "id": "vibevoice", + "display_name": "VibeVoice 1.5B (tts, long-form/multi-speaker)", + "family": "vibevoice", + "path": "models/VibeVoice-1.5B", + "task": "tts", + "mode": "offline", + "download_id": "vibevoice_1_5b", + "min_vram_gb": 7 + }, + { + "id": "chatterbox", + "display_name": "Chatterbox (voice clone)", + "family": "chatterbox", + "path": "models/chatterbox", + "task": "clon", + "mode": "offline", + "download_id": "chatterbox", + "min_vram_gb": 12 + }, + { + "id": "ace-step", + "display_name": "ACE-Step 1.5 (music gen)", + "family": "ace_step", + "path": "models/Ace-Step1.5", + "task": "gen", + "mode": "offline", + "download_id": "ace_step", + "session_options": { + "ace_step.mem_saver": "true", + "ace_step.dit_weight_type": "q8_0", + "ace_step.text_encoder_weight_type": "q8_0", + "ace_step.planner_weight_type": "q8_0" + }, + "min_vram_gb": 8 + }, + { + "id": "stable-audio-small-music", + "display_name": "Stable Audio 3 Small Music (gen)", + "family": "stable_audio", + "path": "models/stable-audio-3-small-music", + "task": "gen", + "mode": "offline", + "download_id": "stable_audio_3_small_music", + "min_vram_gb": 4 + }, + { + "id": "stable-audio-small-sfx", + "display_name": "Stable Audio 3 Small SFX (gen)", + "family": "stable_audio", + "path": "models/stable-audio-3-small-sfx", + "task": "gen", + "mode": "offline", + "download_id": "stable_audio_3_small_sfx", + "min_vram_gb": 4 + }, + { + "id": "stable-audio-medium", + "display_name": "Stable Audio 3 Medium (gen)", + "family": "stable_audio", + "path": "models/stable-audio-3-medium", + "task": "gen", + "mode": "offline", + "download_id": "stable_audio_3_medium", + "session_options": { + "stable_audio.mem_saver": "true" + }, + "min_vram_gb": 10 + }, + { + "id": "heartmula", + "display_name": "HeartMuLa 3B (music gen)", + "family": "heartmula", + "path": "models/HeartMuLa", + "task": "gen", + "mode": "offline", + "download_id": "heartmula", + "session_options": { + "heartmula.mem_saver": "true" + }, + "min_vram_gb": 24 + }, + { + "id": "qwen3-asr", + "display_name": "Qwen3-ASR 0.6B (asr)", + "family": "qwen3_asr", + "path": "models/Qwen3-ASR-0.6B", + "task": "asr", + "mode": "offline", + "download_id": "qwen3_asr_0_6b", + "min_vram_gb": 3 + }, + { + "id": "citrinet-asr", + "display_name": "Citrinet ASR (asr)", + "family": "citrinet_asr", + "path": "models/citrinet", + "task": "asr", + "mode": "offline", + "download_id": "citrinet_asr", + "min_vram_gb": 2 + }, + { + "id": "nemotron-asr", + "display_name": "Nemotron 3.5 ASR 0.6B (asr, 100+ languages)", + "family": "nemotron_asr", + "path": "models/nemotron-3.5-asr-streaming-0.6b", + "task": "asr", + "mode": "offline", + "download_id": "nemotron_asr", + "min_vram_gb": 4, + "input_hint": "**Nemotron ASR**: 100+ languages, with BCP-47 language codes (e.g. en-US / zh-CN); leave blank for auto. The model handles long audio itself." + }, + { + "id": "higgs-audio-stt", + "display_name": "Higgs Audio v3 STT (asr, English)", + "family": "higgs_audio_stt", + "path": "models/higgs-audio-v3-stt", + "task": "asr", + "mode": "offline", + "download_id": "higgs_audio_stt", + "min_vram_gb": 8, + "input_hint": "**Higgs Audio STT**: English transcription. You can put an instruction in the text box (the default is equivalent to 'Transcribe the speech.'); offline mode splits long audio automatically." + }, + { + "id": "hviske-asr", + "display_name": "Hviske v5.3 (asr, Danish)", + "family": "hviske_asr", + "path": "models/hviske-v5.3", + "task": "asr", + "mode": "offline", + "download_id": "hviske_asr", + "min_vram_gb": 6, + "input_hint": "**Hviske ASR**: Danish only; the model chunks audio itself." + }, + { + "id": "vibevoice-asr", + "display_name": "VibeVoice ASR (asr, multilingual + speaker segmentation)", + "family": "vibevoice_asr", + "path": "models/VibeVoice-ASR", + "task": "asr", + "mode": "offline", + "download_id": "vibevoice_asr", + "min_vram_gb": 20, + "input_hint": "**VibeVoice ASR**: automatic language detection, and can output segments/speaker turns. The text box takes a context hint (e.g. 'The recording is a meeting conversation.'). Weights are 17.3G, so an 8G card cannot run it." + }, + { + "id": "vevo2", + "display_name": "Vevo2 (vc, voice conversion)", + "family": "vevo2", + "path": "models/Vevo2", + "task": "vc", + "mode": "offline", + "download_id": "vevo2", + "min_vram_gb": 6 + }, + { + "id": "vevo2-svc", + "display_name": "Vevo2 (svc, singing voice conversion)", + "family": "vevo2", + "path": "models/Vevo2", + "task": "svc", + "mode": "offline", + "download_id": "vevo2", + "min_vram_gb": 6, + "input_hint": "**Vevo2 singing voice conversion (svc)**: upload the source singing plus a target singer reference voice; the default is route=style_preserved_svc. Style-conversion routes such as style_converted_svc / singing_style_conversion need `style_ref` (a wav path local to the server) / `style_ref_text` / `target_text` added under 'Other parameters (JSON)'." + }, + { + "id": "vevo2-s2s", + "display_name": "Vevo2 (s2s, speech editing)", + "family": "vevo2", + "path": "models/Vevo2", + "task": "s2s", + "mode": "offline", + "download_id": "vevo2", + "min_vram_gb": 6, + "input_hint": "**Vevo2 speech editing (s2s)**: upload the source speech to edit and put `{\"target_text\": \"the full replacement sentence\"}` under 'Other parameters (JSON)'. Editing preserves the original speaker's voice, so no target voice is needed." + }, + { + "id": "seed-vc", + "display_name": "Seed-VC (vc, voice conversion)", + "family": "seed_vc", + "path": "models/SeedVC-MLX", + "task": "vc", + "mode": "offline", + "download_id": "seed_vc", + "min_vram_gb": 4 + }, + { + "id": "seed-vc-svc", + "display_name": "Seed-VC (svc, singing voice conversion)", + "family": "seed_vc", + "path": "models/SeedVC-MLX", + "task": "svc", + "mode": "offline", + "download_id": "seed_vc", + "min_vram_gb": 4, + "input_hint": "**Seed-VC singing voice conversion (svc)**: upload the source singing plus a target singer reference voice; the default is route=v1_svc (with F0 conditioning). `auto_f0_adjust` / `semi_tone_shift` / `f0_condition` can be tuned under 'Other parameters (JSON)'." + }, + { + "id": "miocodec", + "display_name": "MioCodec (vc; codec dependency)", + "family": "miocodec", + "path": "models/MioCodec-25Hz-44.1kHz-v2", + "task": "vc", + "mode": "offline", + "download_id": "miocodec_25hz_44k_v2", + "min_vram_gb": 3 + }, + { + "id": "htdemucs", + "display_name": "HTDemucs (sep, source separation)", + "family": "htdemucs", + "path": "models/htdemucs", + "task": "sep", + "mode": "offline", + "download_id": "htdemucs", + "min_vram_gb": 3 + }, + { + "id": "mel-band-roformer", + "display_name": "Mel-Band RoFormer (sep, vocal separation)", + "family": "mel_band_roformer", + "path": "models/mel-roformer-mlx", + "task": "sep", + "mode": "offline", + "download_id": "mel_band_roformer", + "min_vram_gb": 3 + }, + { + "id": "silero-vad", + "display_name": "Silero VAD (vad, bundled)", + "family": "silero_vad", + "path": "assets/framework/models/silero_vad", + "task": "vad", + "mode": "offline", + "min_vram_gb": 1 + }, + { + "id": "marblenet-vad", + "display_name": "MarbleNet VAD (vad)", + "family": "marblenet_vad", + "path": "models/marblenet_vad", + "task": "vad", + "mode": "offline", + "download_id": "marblenet_vad", + "min_vram_gb": 1 + }, + { + "id": "sortformer-diar", + "display_name": "Sortformer Diarization 4spk (diar)", + "family": "sortformer_diar", + "path": "models/diar_sortformer_4spk-v1", + "task": "diar", + "mode": "offline", + "download_id": "sortformer_diar_4spk_v1", + "min_vram_gb": 2 + }, + { + "id": "qwen3-forced-aligner", + "display_name": "Qwen3 Forced Aligner (align)", + "family": "qwen3_forced_aligner", + "path": "models/Qwen3-ForcedAligner-0.6B", + "task": "align", + "mode": "offline", + "download_id": "qwen3_forced_aligner_0_6b", + "min_vram_gb": 3 + }, + { + "id": "qwen3-tts-1.7b-vdesign", + "display_name": "Qwen3-TTS 1.7B VoiceDesign (vdes)", + "family": "qwen3_tts", + "path": "models/Qwen3-TTS-12Hz-1.7B-VoiceDesign", + "task": "vdes", + "mode": "offline", + "download_id": "qwen3_tts_1_7b_voice_design", + "min_vram_gb": 8, + "input_hint": "**Qwen3-TTS VoiceDesign**: describe the voice you want in 'Voice description' (e.g. \"a deep, resonant middle-aged male voice, slow-paced\") and add the text to read — no reference audio needed." + } + ] +} diff --git a/webui/configs/req_speech.json b/webui/configs/req_speech.json new file mode 100644 index 00000000..d575a3cd --- /dev/null +++ b/webui/configs/req_speech.json @@ -0,0 +1,8 @@ +{ + "model": "qwen3-tts", + "input": "This audio is generated by the audio dot cpp server over HTTP.", + "voice_ref": "voice/demo_01_man.wav", + "reference_text": "okay, I'm Cemo and what you just heard wasn't a human voice.", + "max_tokens": 1200, + "seed": 1234 +} diff --git a/webui/locales/en.json b/webui/locales/en.json new file mode 100644 index 00000000..b94aa1b5 --- /dev/null +++ b/webui/locales/en.json @@ -0,0 +1,307 @@ +{ + "acc.advanced": "Advanced parameters (only edited values are sent)", + "acc.api_usage": "🔌 API usage: how third-party apps generate speech with this server", + "acc.asr_options": "🎛 Transcription options (optional)", + "acc.download_settings": "🔐 Download settings: HF token / proxy (optional, not saved)", + "acc.other_json": "Other parameters (JSON, overrides the widgets)", + "analyze.confidence": "confidence {value}", + "analyze.n_segments": "{n} speech segments:", + "analyze.n_turns": "{n} speaker turns, {speakers} speakers ({ids}):", + "analyze.n_words": "timestamps for {n} words:", + "analyze.no_results": "(The model returned no displayable analysis results — no speech may have been detected in the audio.)", + "analyze.text_output": "Text output: {text}", + "analyze.total_speech": "total speech duration about {secs}s", + "api.usage_md": "\nThird-party applications can call the `audiocpp_server` this WebUI starts directly (an OpenAI-style HTTP API), bypassing this page.\n\n- **Which URL**: the API address is `{server}`; for OpenAI-compatible clients set the Base URL to `{server}/v1`.\n Speech: `POST {server}/v1/audio/speech` · Transcription: `POST {server}/v1/audio/transcriptions`\n- **Which model name**: `model` takes the model id (the same ids as the model list on this page, e.g. `qwen3-tts`, `vibevoice`), and it must be the one **currently loaded** — the server holds only one model at a time, so click '{load}' on this page first. `GET {server}/v1/models` lists the ids currently available.\n- **TTS request example** (the response is WAV audio by default; add `\"response_format\": \"json\"` to get base64 in JSON instead):\n\n```bash\ncurl {server}/v1/audio/speech -H \"Content-Type: application/json\" -o out.wav \\\\\n -d '{{\"model\": \"qwen3-tts\", \"input\": \"Hello from audio.cpp.\", \"voice_ref\": \"/path/to/voices/ref.wav\", \"reference_text\": \"the words spoken in the reference audio\", \"seed\": 1234}}'\n```\n\n- **ASR request example**: `-d '{{\"model\": \"qwen3-asr\", \"audio\": \"/path/to/audio/in.wav\"}}'`.\n Optional `\"language\"` (force a language, e.g. `\"Chinese\"`) and `\"context\"` (a bias hint for names/terms) apply to qwen3-asr only.\n Note that `voice_ref` / `audio` are **file paths on the machine running the server**, not browser uploads.\n- **Music generation (gen models)**: use the generic route `POST {server}/v1/tasks/run`, with a body like\n `{{\"model\": \"ace-step\", \"request\": {{\"text\": \"prompt\", \"lyrics\": \"lyrics\", \"duration_seconds\": 30,\n \"options\": {{\"tags\": \"pop,bright\"}}}}}}`. The response JSON's `audio` field is a base64 WAV.\n- **Other tasks (vc/svc/s2s/sep/vad/diar/align)**: also `POST {server}/v1/tasks/run`, using fields such as\n `audio` (source audio path) / `voice_ref` (target voice) / `text` (alignment text) inside `request`. Separated stems come back in\n `named_audio_outputs`, and VAD/diarization/alignment results in `segments` / `speaker_turns` / `words`.\n- The server's lifetime follows this WebUI's **terminal window**: closing only the browser tab changes nothing and the server stays callable by third parties; closing the terminal (webui.py exiting) shuts it down too. You can also start the server on its own (e.g. {launcher}) for third-party applications.\n", + "btn.analyze": "🔎 Analyze", + "btn.analyze_source": "🔍 Analyze source audio (auto-fills description/lyrics/BPM/key)", + "btn.asr": "📝 Transcribe", + "btn.dl_progress": "📊 Download Progress", + "btn.download": "⬇️ Download Model", + "btn.gen": "🎵 Generate Music", + "btn.load": "📥 Load Model", + "btn.refresh": "🔄 Refresh List", + "btn.sep": "🎚️ Separate", + "btn.tts": "🎵 Generate Speech", + "btn.unload": "🧹 Free VRAM", + "btn.vc": "🎭 Convert", + "btn.vdes": "🎨 Generate Speech", + "err.adv_json_invalid": "Advanced parameters are not valid JSON: {error}", + "err.adv_json_not_object": "Advanced parameters must be a JSON object, e.g. {\"num_inference_steps\": 10}", + "err.align_needs_transcript": "Forced alignment needs the words spoken in the audio, in 'Alignment text'", + "err.analysis_ace_only": "Only ACE-Step supports source audio analysis; select ACE-Step in the model list first", + "err.analysis_not_json": "The analysis result from the server is not JSON: {raw}", + "err.audio_duration_note": "⏱ This audio is about {secs} seconds long", + "err.audio_unreadable": "Cannot read audio file {path}: {error}", + "err.chunk_format_mismatch": "Audio chunks have mismatched formats: {fmt} != {params}", + "err.dialogue_needs_diar": "Dialogue mode needs a diarization model: install Sortformer diar from the '{tab}' tab and retry.", + "err.dialogue_needs_pcm": "Dialogue mode needs a readable PCM WAV (for splitting); this file cannot be read: {error}", + "err.diar_too_long": "Diarization handles about {max_sec} seconds per run (Sortformer's fixed-graph/positional-encoding ceiling); shorten the audio first.", + "err.external_server_port": "A server not started by this WebUI is holding {host}:{port} (for example {launcher}). Stop it, or point AUDIOCPP_SERVER at it.", + "err.external_server_session": "The server on {host}:{port} was started outside this WebUI, so its session config cannot be adjusted on demand (this needs {options}). Stop it first.", + "err.ffmpeg_failed": "ffmpeg failed to transcode {ext} → wav: {error}", + "err.ffmpeg_missing": "ffmpeg not found (bundle it in the webui folder or install it on PATH); cannot transcode non-WAV audio.", + "err.lang_unsupported": "The selected model does not support the language \"{language}\". Choose one of: {supported}, or leave it blank to use the model default.", + "err.model_id_unknown": "no such model id in the catalog: {model_id}", + "err.model_load_failed": "Loading {label} failed or timed out ({timeout}s).\nLog tail:\n{tail}", + "err.model_manager_missing": "❌ tools/model_manager.py not found (point AUDIOCPP_MODEL_MANAGER at it)", + "err.model_not_installed": "model not installed (directory does not exist): {path}", + "err.model_wrong_task": "model {model_id} has task {task}, but this tab needs {expected}", + "err.no_audio": "Upload or record audio first", + "err.no_audio_in_response": "The server response contains no audio data", + "err.no_audio_in_response_gen": "The server response contains no audio data (this model may not output audio)", + "err.no_audio_to_separate": "Upload the audio to separate", + "err.no_model_selected": "Select a model first", + "err.no_prompt": "Enter a prompt (what kind of music/sound effect do you want?)", + "err.no_source_audio": "Upload a source audio first", + "err.no_source_to_convert": "Upload the source audio to convert", + "err.no_speaker_turns": "No speaker turns detected — the audio may contain no speech.", + "err.no_stems_in_response": "The server response contains no stem data", + "err.no_text": "Enter the text to synthesize", + "err.server_exe_missing": "server not found: {path} (choose one with AUDIOCPP_BACKEND=gpu|cpu)", + "err.server_status": "❌ server {status}: {message}", + "err.server_unreachable": "Cannot reach server @ {server}: {error}\n💡 The server may have exited; click '{load}' again.", + "err.turns_too_short": "All speaker turns are too short to transcribe.", + "err.unknown": "unknown error", + "err.vdes_needs_description": "Fill in 'Voice description' — a voice design model uses it to decide what the voice sounds like", + "err.vibevoice_text_too_short": "VibeVoice is a long-form model: very short text comes out as gibberish throughout (a model trait — no parameter fixes it). Extend the text to ≥35 words (≥40 characters for CJK), or switch to a model that is stable on short input such as qwen3-tts / voxcpm2 / pocket-tts.", + "field.caption": "Description", + "field.duration": "Duration (s)", + "field.genres": "Genres", + "field.keyscale": "Key", + "field.language": "Language", + "field.lyrics": "Lyrics", + "field.timesignature": "Time signature", + "footer": "audio.cpp WebUI · loads on demand, only one model resident at a time · see webui/README.md for details", + "hint.ace_step": "**ACE-Step** music generation/editing: describe style, instruments, and mood in the prompt (English works best); lyrics are optional. Editing routes need a source audio — click '🔍 Analyze source audio' first. See webui/README.md for parameter details.", + "hint.chatterbox": "**Chatterbox** voice cloning: a reference voice is required; languages are limited to English/Spanish/French/German/Italian/Portuguese/Korean (**no Chinese**). Leave blank for English.", + "hint.err.asr_too_long": "⏱ Audio too long: the Qwen3-ASR encoder caps at 1500 tokens (~13 tokens/second), so roughly 115 seconds per request. Shorten or split the audio before transcribing.", + "hint.err.chatterbox_lang": "🌐 Chatterbox only supports en/es/fr/de/it/pt/ko (no Chinese/Japanese/Russian, and no autodetect). Pick a supported language, or leave it blank for the default (English).", + "hint.err.graph_capacity": "📏 The audio exceeds the model's fixed graph capacity (Sortformer defaults to 20 seconds, with a ~120 second ceiling). The webui reloads diarization/dialogue mode to fit the duration automatically; if it still fails you are past the 120 second ceiling, so shorten the audio first.", + "hint.err.needs_reference_text": "🗒 Reference text is required: put the words spoken in the reference audio into 'Reference text'.", + "hint.err.needs_speaker_script": "📝 A multi-speaker script is required: write one `Speaker 0: text` per line (use Speaker 0/1/… for multiple roles).", + "hint.err.needs_voice_file": "🎤 A reference audio file is required (not a voice id): upload or record a reference voice.", + "hint.err.needs_voice_ref": "🎤 This model needs a reference voice: upload or record one, or pick a built-in reference voice, and retry.", + "hint.err.oom": "🧠 Out of VRAM: this request's compute graph does not fit in the remaining VRAM, usually because the audio or text is too long. Shorten it or split it into chunks and retry.", + "hint.err.stable_audio_english": "🎵 Stable Audio prompts are English only. Rewrite the prompt in English and retry.", + "hint.err.voice_samples_conflict": "🔀 voice_samples and a single reference voice cannot be used together: do not upload a reference voice for multi-speaker input.", + "hint.err.wav_only": "🎵 The server only accepts WAV audio. The webui transcodes uploads automatically, but options where you type a path yourself (such as voice_samples) must already point at a .wav.", + "hint.heartmula": "**HeartMuLa**: the `tags` advanced option is required (comma-separated), and 'Lyrics' holds the sung words; peak VRAM ~25G, so an 8G card cannot run it.", + "hint.htdemucs": "**HTDemucs**: outputs four stems — drums / bass / other / vocals.", + "hint.marblenet_vad": "**MarbleNet VAD**: frame-level voice activity detection, outputs a list of speech segments.", + "hint.mel_band_roformer": "**Mel-Band RoFormer**: outputs a vocals stem and an accompaniment stem.", + "hint.miocodec": "**MioCodec**: codec resynthesis conversion — the source supplies the content, the reference supplies the timbre.", + "hint.pocket_tts": "**PocketTTS**: a reference voice is required (upload, record, or built-in).", + "hint.qwen3_asr": "**Qwen3-ASR**: long audio is transcribed in automatic chunks; see 'Transcription options' for language, context, and dialogue mode.", + "hint.qwen3_forced_aligner": "**Qwen3 forced alignment**: put the audio's transcript in 'Alignment text' to get per-word timestamps (≤115 seconds).", + "hint.qwen3_tts": "**Qwen3-TTS** voice cloning: uploading a reference voice and filling in 'Reference text' is recommended, otherwise output may be truncated early.", + "hint.seed_vc": "**Seed-VC**: source speech + target voice reference (a few seconds of clean vocals); uses the v2 route by default, switch to the older v1 route in the advanced options.", + "hint.silero_vad": "**Silero VAD**: detects speech segments in audio.", + "hint.sortformer_diar": "**Sortformer**: speaker diarization (who spoke when, ≤4 speakers).", + "hint.stable_audio": "**Stable Audio**: prompts are **English only**, and lyrics are unused; upload a source audio for init/inpaint (pick `audio_input_kind` in the advanced options).", + "hint.vevo2": "**Vevo2**: source speech + target voice, converting only the timbre by default (speaking style is preserved). Style-conversion routes need `style_ref` and friends added via JSON — see webui/README.md. Long audio is chunked automatically and the reference voice is trimmed to ≤10s.", + "hint.vibevoice": "**VibeVoice** multi-speaker script: one `Speaker N: text` per line (plain text is wrapped automatically); for multiple voices use the `voice_samples` advanced option instead of a reference audio.", + "hint.voxcpm2": "**VoxCPM2** voice cloning: upload a clean single-speaker reference voice and fill in 'Reference text'; long text is chunked automatically.", + "label.align_text": "Alignment text (required for align: the audio's transcript)", + "label.all_stem_files": "All stem files", + "label.analyze_output": "Result (times in seconds)", + "label.auto": "auto", + "label.autodetect": "Autodetect", + "label.builtin_voice": "Built-in reference voice", + "label.context_hint": "Context hint", + "label.dialogue_mode": "🗣 Dialogue mode (≤120s, needs Sortformer): output a transcript with speakers and timestamps", + "label.dialogue_seg": "dialogue turn {i}/{n}", + "label.duration_seconds": "Duration (s), -1 = auto", + "label.extra_stems": ", the remaining {n} stems are in the download list", + "label.force_language": "Force language (blank = autodetect)", + "label.hf_token": "HF token (for downloading gated models)", + "label.language_blank_default": "Language (blank = model default)", + "label.language_optional": "Language (optional, e.g. English / Chinese)", + "label.lyrics_optional": "Lyrics (optional)", + "label.max_tokens": "max_tokens", + "label.model_default": "Model default", + "label.model_list": "Model list (task={task})", + "label.n_chunks": ", {n} chunks", + "label.n_parts": " ({n} parts)", + "label.n_parts_joined": " ({n} parts joined)", + "label.no_extension": "(no extension)", + "label.not_installed": "not installed", + "label.output_audio": "Output audio", + "label.prompt": "Prompt (English works best)", + "label.proxy": "Proxy (used only when downloading models)", + "label.raw_json": "Raw JSON result", + "label.reference_text": "Reference text", + "label.seed": "seed (-1 = random)", + "label.speaker_n": "Speaker {n}", + "label.stem_n": "Stem {n}", + "label.text_to_speak": "Text to synthesize", + "label.transcript": "Transcript", + "label.ui_language": "Language", + "label.unknown": "unknown", + "label.upload_or_record": "Upload/record audio", + "label.upload_reference_voice": "Upload/record a reference voice (optional)", + "label.upload_source": "Upload/record source audio", + "label.upload_source_for_edit": "Upload source audio (for editing routes)", + "label.upload_target_voice": "Upload/record target voice", + "label.upload_to_separate": "Upload the song/audio to separate", + "label.voice_description": "Voice description (describe the voice you want in words)", + "label.vram_estimate": "⚠️needs ≥{need}G VRAM", + "lang.arabic": "Arabic", + "lang.cantonese": "Cantonese", + "lang.chinese": "Chinese", + "lang.czech": "Czech", + "lang.danish": "Danish", + "lang.dutch": "Dutch", + "lang.english": "English", + "lang.filipino": "Filipino", + "lang.finnish": "Finnish", + "lang.french": "French", + "lang.german": "German", + "lang.greek": "Greek", + "lang.hindi": "Hindi", + "lang.hungarian": "Hungarian", + "lang.indonesian": "Indonesian", + "lang.italian": "Italian", + "lang.japanese": "Japanese", + "lang.korean": "Korean", + "lang.macedonian": "Macedonian", + "lang.malay": "Malay", + "lang.persian": "Persian", + "lang.polish": "Polish", + "lang.portuguese": "Portuguese", + "lang.romanian": "Romanian", + "lang.russian": "Russian", + "lang.spanish": "Spanish", + "lang.swedish": "Swedish", + "lang.thai": "Thai", + "lang.turkish": "Turkish", + "lang.vietnamese": "Vietnamese", + "log.analyze_done": "audio analysis done: took {secs}s", + "log.analyze_start": "audio analysis start: model={model} (task={task}), audio {dur}", + "log.asr_chunking": "{tag} long-audio chunking: {dur} → {n} chunks (≤{max_s}s each, split at silence)", + "log.asr_done": "ASR done: audio {dur}{parts}, took {secs}s", + "log.asr_start": "ASR start: model={model}{extras}", + "log.dialogue_diar_first": "dialogue mode: running diarization with {diar} first (audio {dur}s)", + "log.dialogue_done": "dialogue transcription done: {turns} turns, {speakers} speakers, took {secs}s", + "log.dialogue_seg_done": "dialogue turn {i}/{n} done ({label}, {secs}s)", + "log.diar_done": "diarization done: {turns} turns → merged into {merged}; switching back to {model} to transcribe each", + "log.dl_exited": "{label} download process exited (exit {code})", + "log.dl_started": "background download of {label} ({dl_id}) started; log: {log}", + "log.gen_done": "music generation done: {out}, took {secs}s", + "log.gen_start": "music generation start: model={model}, target duration {dur}s", + "log.input_transcoded": "input transcode: {name} ({ext}) → 16-bit PCM WAV{note}", + "log.model_load_failed": "model {label} failed to load / timed out ({timeout}s)", + "log.model_loaded": "model {label} loaded in {secs}s", + "log.model_unloaded": "unloaded model {label} and stopped the server; VRAM released", + "log.repeated_so_far": "previous line repeated {n} times so far", + "log.repeated_total": "previous line repeated {n} times in total", + "log.resampled_to": ", resampled to {sr}Hz", + "log.seg_note": ", chunk {i}/{n}", + "log.sep_done": "source separation done: {n} stems, took {secs}s", + "log.sep_start": "source separation start: model={model}, audio duration {dur}", + "log.server_starting": "starting audiocpp_server (backend={backend}{extra}), loading model {label} …", + "log.src_analysis_done": "source analysis done: took {secs}s", + "log.src_analysis_start": "source analysis start: model={model}, audio {dur}", + "log.tag_chunk_done": "{tag} chunk {i}/{n} done ({secs}s)", + "log.tag_failed_status": "{tag} failed: server {status} (audio {dur}{seg})", + "log.tag_failed_unreachable": "{tag} failed: cannot reach server", + "log.task_failed_status": "{task} failed: server {status}", + "log.task_failed_unreachable": "{task} failed: cannot reach server", + "log.tts_chunk_done": "TTS chunk {i}/{n} done ({chars} chars, {secs}s)", + "log.tts_done": "TTS done: {out}, {secs}s total", + "log.tts_failed_status": "TTS failed: chunk {i}/{n}, server {status}", + "log.tts_failed_unreachable": "TTS failed: chunk {i}/{n} cannot reach server", + "log.tts_start": "TTS start: model={model}, {chunks} chunk(s) / {chars} chars total", + "log.vc_chunk_done": "voice conversion chunk {i}/{n} done ({secs}s)", + "log.vc_done": "voice conversion done: {out}, took {secs}s", + "log.vc_seg_note": ", reference {ref}s, adaptively split into {n} chunks (≤{cap}s each)", + "log.vc_start": "voice conversion start: model={model}, source audio {dur}{seg}", + "log.vdes_done": "voice design done: {out}, took {secs}s", + "log.vdes_failed_status": "voice design failed: server {status}", + "log.vdes_failed_unreachable": "voice design failed: cannot reach server", + "log.vdes_start": "voice design start: model={model}, {chars} chars", + "msg.analyze_done": "✅ Analysis complete (audio {dur}), took {secs}s.", + "msg.analyze_failed": "❌ Analysis failed: {error}", + "msg.analyzing": "⏳ Analyzing… (load a model with '{load}' first)", + "msg.asr_done": "✅ Transcription complete (audio {dur}{parts}), took {secs}s.", + "msg.auto_16k_mono": "*Input is converted to 16 kHz mono automatically.*", + "msg.convert_done": "✅ Conversion complete{parts}, took {secs}s. {seed}", + "msg.convert_failed": "❌ Conversion failed: {error}", + "msg.dialogue_done": "✅ Dialogue transcription complete (audio {dur}s, {turns} turns, {speakers} speakers), took {secs}s.", + "msg.dialogue_no_text": "⚠️ Diarization found speaker turns, but none produced any text.", + "msg.dl_already_installed": "✅ {label} is already installed; no download needed", + "msg.dl_already_running": "⏳ {label} is already downloading in the background…", + "msg.dl_done": "✅ {label} finished downloading; click '{refresh}' next to it to refresh the available list.", + "msg.dl_downloaded": "{size} downloaded", + "msg.dl_failed": "❌ {label} download failed (exit {code}).", + "msg.dl_installed": "✅ {label} is installed", + "msg.dl_no_data_yet": "no data written yet (connecting/resolving)", + "msg.dl_no_download_id": "⚠️ {label} has no download_id configured (a bundled asset/dependency); install it manually", + "msg.dl_not_started": "⚪ {label} is not installed and no download has started", + "msg.dl_running": "⏳ Downloading {label}… {progress} · updated {ts}", + "msg.dl_started": "⏳ Background download of **{label}** ({dl_id}) started; the progress below refreshes every few seconds.\nWhen it finishes, click '{refresh}' next to it to load the model.\nLog: {log}", + "msg.dl_via_proxy": "🌐 via proxy {proxy}", + "msg.generate_done": "✅ Generation complete{parts}, took {secs}s. {seed}", + "msg.generate_failed": "❌ Generation failed: {error}", + "msg.model_loaded": "✅ Loaded: {label}", + "msg.no_advanced_params": "*This model has no tunable advanced parameters.*", + "msg.reusing_external_server": "✅ Reusing external server: {label}", + "msg.sep_done": "✅ Separation complete ({n} stems){note}, took {secs}s.", + "msg.separate_failed": "❌ Separation failed: {error}", + "msg.server_not_running": "⚪ server not running @ {server} — pick a model and click '{load}'", + "msg.src_analysis_done": "✅ Analysis complete (audio {dur}), took {secs}s, and the results were written back into 'Advanced parameters' (editable). Check the lyrics before doing a remix/cover.", + "msg.transcribe_failed": "❌ Transcription failed: {error}", + "msg.unload_external": "⚠️ The running server was not started by this WebUI (e.g. {launcher}); stop it from the window that launched it.", + "msg.unload_not_running": "⚪ The server is not running; nothing to release.", + "msg.unloaded": "🧹 Model unloaded and VRAM released — the next 'Load Model' click, or simply generating/transcribing, reloads it automatically (~5s).", + "ph.analyze_output": "Speech segments / speakers / per-word timestamps will appear here…", + "ph.context_hint": "Names, terminology, etc. — helps recognize proper nouns", + "ph.hf_token": "hf_xxx — or run huggingface-cli login first", + "ph.reference_text": "The words spoken in the reference audio (recommended for cloning — the more accurate, the better)", + "ph.transcript": "The transcription will appear here…", + "ph.voice_description": "e.g. a deep, resonant middle-aged male voice, slow-paced, with a broadcaster's tone", + "progress.tts_chunk": "synthesizing chunk {i}/{n}…", + "progress.vc_chunk": "converting chunk {i}/{n}…", + "sec.analyze_result": "#### 📄 Analysis result", + "sec.asr_result": "#### 📄 Transcription result", + "sec.audio_input": "#### 🎤 Audio input", + "sec.gen_settings": "#### ⚙️ Generation settings", + "sec.gen_source": "#### 🎧 Source audio (optional, for editing routes only)", + "sec.model_mgmt": "#### 🧩 Model Management", + "sec.output_audio": "#### 🔊 Output audio", + "sec.prompt_lyrics": "#### ✍️ Prompt and lyrics", + "sec.reference_audio": "#### 🎧 Reference audio (voice cloning)", + "sec.sep_input": "#### 🎵 Input audio", + "sec.sep_result": "#### 🔊 Separation result", + "sec.tts_content": "#### ✍️ Content", + "sec.tts_settings": "#### ⚙️ Synthesis settings", + "sec.vc_settings": "#### ⚙️ Conversion settings", + "sec.vc_source": "#### 🎙️ Source audio (the content to convert)", + "sec.vc_target": "#### 🎧 Target voice (whose voice to convert into)", + "sec.vdes_content": "#### ✍️ Design content", + "stem.accompaniment": "Accompaniment", + "stem.audio": "Output", + "stem.bass": "Bass", + "stem.drums": "Drums", + "stem.instrumental": "Instrumental", + "stem.other": "Other", + "stem.vocals": "Vocals", + "tab.analyze": "🔎 Audio Analysis", + "tab.asr": "📝 ASR / Transcription", + "tab.gen": "🎵 Music Generation", + "tab.sep": "🎚️ Source Separation", + "tab.tts": "🗣️ TTS / Voice Clone", + "tab.vc": "🎭 Voice Conversion", + "tab.vdes": "🎨 Voice Design", + "task.audio_analysis": "audio analysis", + "task.diarization": "diarization", + "task.music_gen": "music generation", + "task.separation": "source separation", + "task.source_analysis": "source audio analysis", + "task.voice_conversion": "voice conversion", + "value.tts_sample_text": "Hello, this is audio dot cpp speaking from a web page.", + "value.vdes_sample_text": "Hello — this voice was designed from a text description by audio.cpp.", + "warn.no_hf_token": "⚠️ No HF token detected — gated/restricted models will return 401. Enter a token above (or run `huggingface-cli login` first); gated models also require accepting their terms on their HF page.", + "warn.vram_before_download": "⚠️ **Not enough VRAM**: this model is estimated to need **≥{need}G**, and this machine has only **{have}G** — after downloading it will most likely spill into shared memory and be very slow, or fail to run at all.", + "warn.vram_hint": "⚠️ **VRAM note**: at default settings this model is estimated to need **≥{need}G** of VRAM, and this machine has **{have}G** — it will load but will spill into shared memory and run slowly.", + "warn.vram_hint_uninstalled": "⚠️ **VRAM note**: at default settings this model is estimated to need **≥{need}G** of VRAM, and this machine has **{have}G** — it will load but will spill into shared memory and run slowly, so think twice before downloading it." +} diff --git a/webui/locales/zh.json b/webui/locales/zh.json new file mode 100644 index 00000000..ef1788ca --- /dev/null +++ b/webui/locales/zh.json @@ -0,0 +1,326 @@ +{ + "acc.advanced": "高级参数（只发送改动过的项）", + "acc.api_usage": "🔌 API 调用说明：第三方应用如何用本 server 生成语音", + "acc.asr_options": "🎛 转写选项（可选）", + "acc.download_settings": "🔐 下载设置：HF token / 代理（可选，不保存）", + "acc.other_json": "其它参数（JSON，覆盖控件）", + "analyze.confidence": "置信度 {value}", + "analyze.n_segments": "共 {n} 个语音段：", + "analyze.n_turns": "共 {n} 个发言段、{speakers} 个说话人（{ids}）：", + "analyze.n_words": "共 {n} 个词的时间戳：", + "analyze.no_results": "（模型没有返回可显示的分析结果——音频里可能没有检测到语音）", + "analyze.text_output": "文本输出：{text}", + "analyze.total_speech": "语音总时长约 {secs}s", + "api.usage_md": "\n第三方应用可以直接调用本 WebUI 启动的 `audiocpp_server`（OpenAI 风格 HTTP API），不经过本页面。\n\n- **URL 怎么填**：API 地址是 `{server}`；OpenAI 兼容客户端的 Base URL 填 `{server}/v1`。\n 生成语音：`POST {server}/v1/audio/speech` · 音频转写：`POST {server}/v1/audio/transcriptions`\n- **模型名称怎么填**：`model` 填模型 id（与本页模型列表一致，如 `qwen3-tts`、`vibevoice`），\n 且必须是**当前已加载**的那个 —— server 同一时刻只驻留一个模型，先在本页点『{load}』；\n 可用 `GET {server}/v1/models` 查看当前可用的 id。\n- **TTS 请求示例**（响应默认是 WAV 音频；加 `\"response_format\": \"json\"` 改为返回 base64 的 JSON）：\n\n```bash\ncurl {server}/v1/audio/speech -H \"Content-Type: application/json\" -o out.wav \\\\\n -d '{{\"model\": \"qwen3-tts\", \"input\": \"你好，audio.cpp。\", \"voice_ref\": \"/path/to/voices/ref.wav\", \"reference_text\": \"参考音频里的原话\", \"seed\": 1234}}'\n```\n\n- **ASR 请求示例**：`-d '{{\"model\": \"qwen3-asr\", \"audio\": \"/path/to/audio/in.wav\"}}'`；\n 可选 `\"language\"`（强制语种，如 `\"Chinese\"`）和 `\"context\"`（人名/术语偏置提示），仅 qwen3-asr 生效。\n 注意 `voice_ref` / `audio` 填的都是 **server 所在机器上的文件路径**（不是浏览器上传）。\n- **音乐生成（gen 模型）**：走通用路由 `POST {server}/v1/tasks/run`，body 形如\n `{{\"model\": \"ace-step\", \"request\": {{\"text\": \"提示词\", \"lyrics\": \"歌词\", \"duration_seconds\": 30,\n \"options\": {{\"tags\": \"pop,bright\"}}}}}}`，响应 JSON 的 `audio` 字段是 base64 WAV。\n- **其它任务（vc/svc/s2s/sep/vad/diar/align）**：同样走 `POST {server}/v1/tasks/run`，`request` 里用\n `audio`（源音频路径）/ `voice_ref`（目标音色）/ `text`（对齐文本）等字段；分离多轨在响应的\n `named_audio_outputs`，VAD/说话人/对齐结果在 `segments` / `speaker_turns` / `words`。\n- server 的生命周期跟随本 WebUI 的**命令行窗口**：只关浏览器页面不影响，server 仍可被第三方调用；\n 关掉命令窗口（webui.py 退出）才会连带关闭它。也可单独启动 server（如 {launcher}）\n 供第三方应用调用。\n", + "btn.analyze": "🔎 开始分析", + "btn.analyze_source": "🔍 分析源音频（自动填入描述/歌词/BPM/调性）", + "btn.asr": "📝 开始转写", + "btn.dl_progress": "📊 下载进度", + "btn.download": "⬇️ 下载模型", + "btn.gen": "🎵 生成音乐", + "btn.load": "📥 加载模型", + "btn.refresh": "🔄 刷新列表", + "btn.sep": "🎚️ 开始分离", + "btn.tts": "🎵 生成语音", + "btn.unload": "🧹 释放显存", + "btn.vc": "🎭 开始转换", + "btn.vdes": "🎨 生成语音", + "catalog.higgs-audio-stt.display_name": "Higgs Audio v3 STT (asr, 英语)", + "catalog.higgs-audio-stt.input_hint": "**Higgs Audio STT**：英语转写；可在文本框填指令（默认相当于 Transcribe the speech.）；离线模式自动切分长音频。", + "catalog.htdemucs.display_name": "HTDemucs (sep 音源分离)", + "catalog.hviske-asr.display_name": "Hviske v5.3 (asr, 丹麦语)", + "catalog.hviske-asr.input_hint": "**Hviske ASR**：丹麦语专用；模型侧自动分段。", + "catalog.mel-band-roformer.display_name": "Mel-Band RoFormer (sep 人声分离)", + "catalog.nemotron-asr.display_name": "Nemotron 3.5 ASR 0.6B (asr, 100+语种)", + "catalog.nemotron-asr.input_hint": "**Nemotron ASR**：100+ 语种，语种码为 BCP-47（如 en-US / zh-CN），留空=auto；模型自带长音频处理。", + "catalog.qwen3-tts-1.7b-vdesign.input_hint": "**Qwen3-TTS VoiceDesign**：在『音色描述』里用文字描述想要的声音（如“低沉磁性的中年男声，语速偏慢”），配上要念的文本即可，无需参考音频。", + "catalog.seed-vc-svc.display_name": "Seed-VC (svc 歌声转换)", + "catalog.seed-vc-svc.input_hint": "**Seed-VC 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=v1_svc（带 F0 条件）。可在『其它参数(JSON)』里调 `auto_f0_adjust` / `semi_tone_shift` / `f0_condition`。", + "catalog.seed-vc.display_name": "Seed-VC (vc 语音转换)", + "catalog.vevo2-s2s.display_name": "Vevo2 (s2s 语音编辑)", + "catalog.vevo2-s2s.input_hint": "**Vevo2 语音编辑 (s2s)**：上传要编辑的源语音，并在『其它参数(JSON)』里填 `{\"target_text\": \"替换后的完整句子\"}`（编辑保持原说话人音色，可不上传目标音色）。", + "catalog.vevo2-svc.display_name": "Vevo2 (svc 歌声转换)", + "catalog.vevo2-svc.input_hint": "**Vevo2 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=style_preserved_svc。style_converted_svc / singing_style_conversion 等风格转换 route 需在『其它参数(JSON)』里补 `style_ref`（服务器本地 wav 路径）/ `style_ref_text` / `target_text`。", + "catalog.vevo2.display_name": "Vevo2 (vc 语音转换)", + "catalog.vibevoice-asr.display_name": "VibeVoice ASR (asr, 多语种+说话人分段)", + "catalog.vibevoice-asr.input_hint": "**VibeVoice ASR**：自动语种，可输出分段/说话人轮次；文本框可填上下文提示（如 The recording is a meeting conversation.）。权重 17.3G，8G 卡跑不动。", + "err.adv_json_invalid": "高级参数不是合法 JSON：{error}", + "err.adv_json_not_object": "高级参数必须是 JSON 对象，例如 {\"num_inference_steps\": 10}", + "err.align_needs_transcript": "强制对齐需要在『对齐文本』里填音频中说的原文", + "err.analysis_ace_only": "只有 ACE-Step 支持源音频分析，请先在模型列表选 ACE-Step", + "err.analysis_not_json": "server 返回的分析结果不是 JSON：{raw}", + "err.audio_duration_note": "⏱ 本次音频时长约 {secs} 秒", + "err.audio_unreadable": "读不到音频文件 {path}：{error}", + "err.chunk_format_mismatch": "分段音频格式不一致：{fmt} != {params}", + "err.dialogue_needs_diar": "对话模式需要说话人分离模型：请到『{tab}』页下载安装 Sortformer diar 后重试。", + "err.dialogue_needs_pcm": "对话模式需要可读的 PCM WAV（切段用），当前文件读不了：{error}", + "err.diar_too_long": "说话人分离单次最长约 {max_sec} 秒（Sortformer 固定图/位置编码上限），请先把音频剪短。", + "err.external_server_port": "检测到一个非本 WebUI 启动的 server 正占用 {host}:{port}（例如 {launcher}）。请先关闭它，或设 AUDIOCPP_SERVER 指向它。", + "err.external_server_session": "当前 {host}:{port} 上是外部启动的 server，无法按需调整其 session 配置（需要 {options}）。请先关闭它。", + "err.ffmpeg_failed": "ffmpeg 转码 {ext} → wav 失败：{error}", + "err.ffmpeg_missing": "找不到 ffmpeg（应随 webui 一起放在 webui 目录，或安装到 PATH），无法转码非 WAV 音频。", + "err.lang_unsupported": "所选模型不支持语言「{language}」。请改选：{supported}，或“留空”用模型默认。", + "err.model_id_unknown": "catalog 里没有模型 id: {model_id}", + "err.model_load_failed": "加载 {label} 失败/超时（{timeout}s）。\n日志尾部：\n{tail}", + "err.model_manager_missing": "❌ 找不到 tools/model_manager.py（设 AUDIOCPP_MODEL_MANAGER 指向它）", + "err.model_not_installed": "模型未安装（目录不存在）: {path}", + "err.model_wrong_task": "模型 {model_id} 的 task 是 {task}，此处需要 {expected}", + "err.no_audio": "请上传或录制音频", + "err.no_audio_in_response": "server 返回里没有音频数据", + "err.no_audio_in_response_gen": "server 返回里没有音频数据（该模型可能不输出音频）", + "err.no_audio_to_separate": "请上传要分离的音频", + "err.no_model_selected": "请先选择一个模型", + "err.no_prompt": "请输入提示词（想要什么样的音乐/音效）", + "err.no_source_audio": "请先上传源音频", + "err.no_source_to_convert": "请上传要转换的源音频", + "err.no_speaker_turns": "没有检测到说话人发言段——音频里可能没有语音。", + "err.no_stems_in_response": "server 返回里没有音轨数据", + "err.no_text": "请输入要合成的文字", + "err.server_exe_missing": "找不到 server: {path}（用 AUDIOCPP_BACKEND=gpu|cpu 指定）", + "err.server_status": "❌ server {status}：{message}", + "err.server_unreachable": "无法连接 server @ {server}：{error}\n💡 server 可能已退出，重新点『{load}』。", + "err.turns_too_short": "说话人发言段都太短，无法转写。", + "err.unknown": "未知错误", + "err.vdes_needs_description": "请填写『音色描述』——声音设计模型靠它决定生成什么样的声音", + "err.vibevoice_text_too_short": "VibeVoice 是长文模型，过短的文本会整段胡言乱语（模型特性，调参数救不了）。请把正文加长到 ≥40 个汉字（英文约 ≥35 词），或改用 qwen3-tts / voxcpm2 / pocket-tts 等对短句稳定的模型。", + "field.caption": "描述", + "field.duration": "时长(s)", + "field.genres": "流派", + "field.keyscale": "调性", + "field.language": "语言", + "field.lyrics": "歌词", + "field.timesignature": "拍号", + "footer": "audio.cpp WebUI · 按需加载，同一时刻只驻留一个模型 · 详细说明见 webui/README.md", + "hint.ace_step": "**ACE-Step** 音乐生成/编辑：提示词写风格/乐器/情绪（英文最佳），可填歌词。编辑类 route 需上传源音频并建议先点『🔍 分析源音频』；参数详解见 webui/README.md。", + "hint.chatterbox": "**Chatterbox** 声音克隆：必须提供参考音色；语言仅支持英/西/法/德/意/葡/韩（**无中文**），留空=英语。", + "hint.err.asr_too_long": "⏱ 音频过长：Qwen3-ASR 编码器上限 1500 token（约 13 token/秒），单次最多约 115 秒。请把音频剪短或分段后再转写。", + "hint.err.chatterbox_lang": "🌐 Chatterbox 只支持 en/es/fr/de/it/pt/ko（无中文/日文/俄文，也没有自动检测）。请在“语言”里改选受支持的语言，或“留空”用默认（英语）。", + "hint.err.graph_capacity": "📏 音频超过模型的固定图容量（Sortformer 默认 20 秒、上限约 120 秒）。webui 的说话人分离/对话模式会按时长自动重载；仍报错说明超过 120 秒上限，请先剪短音频。", + "hint.err.needs_reference_text": "🗒 需要参考文本：在“参考文本”里填参考音频里说的原话。", + "hint.err.needs_speaker_script": "📝 需要多说话人脚本：每行写成 `Speaker 0: 内容`（多角色用 Speaker 0/1/…）。", + "hint.err.needs_voice_file": "🎤 需要参考音频文件（不是 voice id）：请上传/录制一段参考音色。", + "hint.err.needs_voice_ref": "🎤 该模型需要参考音色：上传/录制一段参考音频，或选一个内置参考音色后重试。", + "hint.err.oom": "🧠 显存不足：这次请求的计算图放不进剩余显存，通常是音频/文本太长。请剪短或分段后重试。", + "hint.err.stable_audio_english": "🎵 Stable Audio 的提示词只支持英文。请把“提示词”改成英文后重试。", + "hint.err.voice_samples_conflict": "🔀 voice_samples 与单个参考音色不能同时用：多说话人时请不要上传参考音色。", + "hint.err.wav_only": "🎵 server 只支持 WAV 音频：上传的文件 webui 会自动转码，手动填路径的参数（如 voice_samples）请先转成 .wav。", + "hint.heartmula": "**HeartMuLa**：高级参数 `tags` 必填（逗号分隔），『歌词』填唱词；峰值显存 ~25G，8G 卡跑不动。", + "hint.htdemucs": "**HTDemucs**：输出 drums / bass / other / vocals 四轨。", + "hint.marblenet_vad": "**MarbleNet VAD**：帧级语音活动检测，输出语音段列表。", + "hint.mel_band_roformer": "**Mel-Band RoFormer**：输出人声轨 + 伴奏轨。", + "hint.miocodec": "**MioCodec**：codec 重建式转换——源提供内容，参考提供音色。", + "hint.pocket_tts": "**PocketTTS**：必须提供参考音色（上传/录制/内置）。", + "hint.qwen3_asr": "**Qwen3-ASR**：长音频自动分段转写；语种/上下文/对话模式见『转写选项』。", + "hint.qwen3_forced_aligner": "**Qwen3 强制对齐**：『对齐文本』填音频原文，输出逐词时间戳（≤115 秒）。", + "hint.qwen3_tts": "**Qwen3-TTS** 声音克隆：建议上传参考音色并填『参考文本』，否则可能提前截断。", + "hint.seed_vc": "**Seed-VC**：源语音 + 目标音色参考（几秒干净人声）；默认 v2 路线，v1 旧路线在高级参数切换。", + "hint.silero_vad": "**Silero VAD**：检测音频中的语音段。", + "hint.sortformer_diar": "**Sortformer**：说话人分离（谁在何时说话，≤4 人）。", + "hint.stable_audio": "**Stable Audio**：提示词**仅英文**，不用歌词；上传源音频可做 init/inpaint（高级参数选 audio_input_kind）。", + "hint.vevo2": "**Vevo2**：源语音 + 目标音色，默认只换音色（保留说话风格）；风格转换类 route 需 JSON 补 `style_ref` 等，详见 webui/README.md。长音频自动分段，参考音色自动截 ≤10s。", + "hint.vibevoice": "**VibeVoice** 多说话人脚本：每行 `Speaker N: 内容`（纯文字自动包装）；多音色用高级参数 `voice_samples`，不要传参考音频。", + "hint.voxcpm2": "**VoxCPM2** 声音克隆：上传干净的单人参考音色并填『参考文本』；长文本自动分段。", + "label.align_text": "对齐文本（align 必填：音频原文）", + "label.all_stem_files": "全部音轨文件", + "label.analyze_output": "结果（时间单位：秒）", + "label.auto": "自动", + "label.autodetect": "自动检测", + "label.builtin_voice": "内置参考音色", + "label.context_hint": "上下文提示", + "label.dialogue_mode": "🗣 对话模式（≤120s，需 Sortformer）：输出带说话人和时间戳的对话稿", + "label.dialogue_seg": "对话段 {i}/{n}", + "label.duration_seconds": "时长(秒)，-1=自动", + "label.extra_stems": "，其余 {n} 轨见下载列表", + "label.force_language": "强制语种（留空=自动检测）", + "label.hf_token": "HF token (下载受限模型时用)", + "label.language_blank_default": "语言（留空=模型默认）", + "label.language_optional": "语言（可选，如 English / Chinese）", + "label.lyrics_optional": "歌词（可选）", + "label.max_tokens": "max_tokens（生成上限）", + "label.model_default": "模型默认", + "label.model_list": "模型列表 (task={task})", + "label.n_chunks": "，{n} 段", + "label.n_parts": "（{n} 段）", + "label.n_parts_joined": "（{n} 段拼接）", + "label.no_extension": "（无扩展名）", + "label.not_installed": "未安装", + "label.output_audio": "输出音频", + "label.prompt": "提示词（英文效果最好）", + "label.proxy": "代理 (仅下载模型时使用)", + "label.raw_json": "原始 JSON 结果", + "label.reference_text": "参考文本", + "label.seed": "seed（-1=随机）", + "label.speaker_n": "说话人{n}", + "label.stem_n": "音轨 {n}", + "label.text_to_speak": "要合成的文字", + "label.transcript": "转写文本", + "label.ui_language": "语言", + "label.unknown": "未知", + "label.upload_or_record": "上传/录制音频", + "label.upload_reference_voice": "上传/录制参考音色（可选）", + "label.upload_source": "上传/录制源音频", + "label.upload_source_for_edit": "上传源音频（编辑类 route 用）", + "label.upload_target_voice": "上传/录制目标音色", + "label.upload_to_separate": "上传要分离的歌曲/音频", + "label.voice_description": "音色描述（用文字描述想要的声音）", + "label.vram_estimate": "⚠️估算需≥{need}G显存", + "lang.arabic": "阿拉伯语", + "lang.cantonese": "粤语", + "lang.chinese": "中文", + "lang.czech": "捷克语", + "lang.danish": "丹麦语", + "lang.dutch": "荷兰语", + "lang.english": "英语", + "lang.filipino": "菲律宾语", + "lang.finnish": "芬兰语", + "lang.french": "法语", + "lang.german": "德语", + "lang.greek": "希腊语", + "lang.hindi": "印地语", + "lang.hungarian": "匈牙利语", + "lang.indonesian": "印尼语", + "lang.italian": "意大利语", + "lang.japanese": "日语", + "lang.korean": "韩语", + "lang.macedonian": "马其顿语", + "lang.malay": "马来语", + "lang.persian": "波斯语", + "lang.polish": "波兰语", + "lang.portuguese": "葡萄牙语", + "lang.romanian": "罗马尼亚语", + "lang.russian": "俄语", + "lang.spanish": "西班牙语", + "lang.swedish": "瑞典语", + "lang.thai": "泰语", + "lang.turkish": "土耳其语", + "lang.vietnamese": "越南语", + "log.analyze_done": "音频分析完成：用时 {secs}s", + "log.analyze_start": "音频分析开始：model={model}（task={task}），音频 {dur}", + "log.asr_chunking": "{tag} 长音频分段：{dur} → {n} 段（每段 ≤{max_s}s，静音处切分）", + "log.asr_done": "ASR 完成：音频 {dur}{parts}，用时 {secs}s", + "log.asr_start": "ASR 开始：model={model}{extras}", + "log.dialogue_diar_first": "对话模式：先用 {diar} 做说话人分离（音频 {dur}s）", + "log.dialogue_done": "对话转写完成：{turns} 段发言、{speakers} 个说话人，用时 {secs}s", + "log.dialogue_seg_done": "对话段 {i}/{n} 完成（{label}，{secs}s）", + "log.diar_done": "说话人分离完成：{turns} 个发言段 → 合并为 {merged} 段；换回 {model} 逐段转写", + "log.dl_exited": "{label} 下载进程结束 (exit {code})", + "log.dl_started": "开始后台下载 {label}（{dl_id}），日志：{log}", + "log.gen_done": "音乐生成完成：{out}，用时 {secs}s", + "log.gen_start": "音乐生成开始：model={model}，目标时长 {dur}s", + "log.input_transcoded": "输入转码：{name}（{ext}）→ 16-bit PCM WAV{note}", + "log.model_load_failed": "模型 {label} 加载失败/超时（{timeout}s）", + "log.model_loaded": "模型 {label} 加载完成，用时 {secs}s", + "log.model_unloaded": "已卸载模型 {label} 并停止 server，显存已释放", + "log.repeated_so_far": "上一行已重复 {n} 次", + "log.repeated_total": "上一行共重复 {n} 次", + "log.resampled_to": "，重采样到 {sr}Hz", + "log.seg_note": "，第 {i}/{n} 段", + "log.sep_done": "音源分离完成：{n} 轨，用时 {secs}s", + "log.sep_start": "音源分离开始：model={model}，音频时长 {dur}", + "log.server_starting": "启动 audiocpp_server（backend={backend}{extra}），加载模型 {label} …", + "log.src_analysis_done": "源音频分析完成：用时 {secs}s", + "log.src_analysis_start": "源音频分析开始：model={model}，音频 {dur}", + "log.tag_chunk_done": "{tag} 段 {i}/{n} 完成（{secs}s）", + "log.tag_failed_status": "{tag} 失败：server {status}（音频 {dur}{seg}）", + "log.tag_failed_unreachable": "{tag} 失败：无法连接 server", + "log.task_failed_status": "{task}失败：server {status}", + "log.task_failed_unreachable": "{task}失败：无法连接 server", + "log.tts_chunk_done": "TTS 段 {i}/{n} 完成（{chars} 字，{secs}s）", + "log.tts_done": "TTS 完成：{out}，总用时 {secs}s", + "log.tts_failed_status": "TTS 失败：段 {i}/{n}，server {status}", + "log.tts_failed_unreachable": "TTS 失败：段 {i}/{n} 无法连接 server", + "log.tts_start": "TTS 开始：model={model}，{chunks} 段 / 共 {chars} 字", + "log.vc_chunk_done": "声音转换段 {i}/{n} 完成（{secs}s）", + "log.vc_done": "声音转换完成：{out}，用时 {secs}s", + "log.vc_seg_note": "，参考 {ref}s，自适应分 {n} 段（每段 ≤{cap}s）", + "log.vc_start": "声音转换开始：model={model}，源音频 {dur}{seg}", + "log.vdes_done": "声音设计完成：{out}，用时 {secs}s", + "log.vdes_failed_status": "声音设计失败：server {status}", + "log.vdes_failed_unreachable": "声音设计失败：无法连接 server", + "log.vdes_start": "声音设计开始：model={model}，{chars} 字", + "msg.analyze_done": "✅ 分析完成（音频 {dur}），用时 {secs}s。", + "msg.analyze_failed": "❌ 分析失败：{error}", + "msg.analyzing": "⏳ 分析中……（需先『{load}』）", + "msg.asr_done": "✅ 转写完成（音频 {dur}{parts}），用时 {secs}s。", + "msg.auto_16k_mono": "*输入自动转 16 kHz 单声道。*", + "msg.convert_done": "✅ 转换完成{parts}，用时 {secs}s。{seed}", + "msg.convert_failed": "❌ 转换失败：{error}", + "msg.dialogue_done": "✅ 对话转写完成（音频 {dur}s，{turns} 段发言、{speakers} 个说话人），用时 {secs}s。", + "msg.dialogue_no_text": "⚠️ 说话人分离找到了发言段，但都没有转写出文字。", + "msg.dl_already_installed": "✅ {label} 已安装，无需下载", + "msg.dl_already_running": "⏳ {label} 已经在后台下载中…", + "msg.dl_done": "✅ {label} 下载进程完成，点旁边的『{refresh}』刷新可用列表。", + "msg.dl_downloaded": "已下载 {size}", + "msg.dl_failed": "❌ {label} 下载失败 (exit {code})。", + "msg.dl_installed": "✅ {label} 已安装", + "msg.dl_no_data_yet": "尚未写入数据（正在连接/解析）", + "msg.dl_no_download_id": "⚠️ {label} 没有配置 download_id（内置资源/依赖），请手动安装", + "msg.dl_not_started": "⚪ {label} 未安装，未开始下载", + "msg.dl_running": "⏳ 正在下载 {label}… {progress} · 更新于 {ts}", + "msg.dl_started": "⏳ 已开始后台下载 **{label}**（{dl_id}），下方进度每几秒自动刷新。\n完成后点旁边的『{refresh}』即可加载。\n日志：{log}", + "msg.dl_via_proxy": "🌐 通过代理 {proxy}", + "msg.generate_done": "✅ 生成完成{parts}，用时 {secs}s。{seed}", + "msg.generate_failed": "❌ 生成失败：{error}", + "msg.model_loaded": "✅ 已加载：{label}", + "msg.no_advanced_params": "*该模型无可调高级参数。*", + "msg.reusing_external_server": "✅ 复用外部 server：{label}", + "msg.sep_done": "✅ 分离完成（{n} 轨）{note}，用时 {secs}s。", + "msg.separate_failed": "❌ 分离失败：{error}", + "msg.server_not_running": "⚪ server 未运行 @ {server} — 选择模型并点『{load}』", + "msg.src_analysis_done": "✅ 分析完成（音频 {dur}），用时 {secs}s，已回填到『高级参数』（可改）。做 remix/cover 前请核对歌词。", + "msg.transcribe_failed": "❌ 转写失败：{error}", + "msg.unload_external": "⚠️ 当前 server 不是本 WebUI 启动的（如 {launcher}），请到启动它的窗口里关闭。", + "msg.unload_not_running": "⚪ server 未运行，无需释放。", + "msg.unloaded": "🧹 已卸载模型并释放显存 — 下次点『加载模型』或直接生成/转写会自动重新加载（约 5s）。", + "ph.analyze_output": "语音段 / 说话人 / 逐词时间戳将显示在这里……", + "ph.context_hint": "人名/术语等，帮助识别专有名词", + "ph.hf_token": "hf_xxx —— 或先在命令行运行 huggingface-cli login", + "ph.reference_text": "参考音频里说的原话（克隆时建议填写，越准越好）", + "ph.transcript": "转写结果将显示在这里……", + "ph.voice_description": "例：低沉磁性的中年男声，语速偏慢，带播音腔", + "progress.tts_chunk": "合成 {i}/{n} 段…", + "progress.vc_chunk": "转换 {i}/{n} 段…", + "sec.analyze_result": "#### 📄 分析结果", + "sec.asr_result": "#### 📄 识别结果", + "sec.audio_input": "#### 🎤 音频输入", + "sec.gen_settings": "#### ⚙️ 生成设置", + "sec.gen_source": "#### 🎧 源音频（可选，仅编辑类用法）", + "sec.model_mgmt": "#### 🧩 模型管理", + "sec.output_audio": "#### 🔊 输出音频", + "sec.prompt_lyrics": "#### ✍️ 提示词与歌词", + "sec.reference_audio": "#### 🎧 参考音频（声音克隆）", + "sec.sep_input": "#### 🎵 输入音频", + "sec.sep_result": "#### 🔊 分离结果", + "sec.tts_content": "#### ✍️ 合成内容", + "sec.tts_settings": "#### ⚙️ 合成设置", + "sec.vc_settings": "#### ⚙️ 转换设置", + "sec.vc_source": "#### 🎙️ 源音频（要转换的内容）", + "sec.vc_target": "#### 🎧 目标音色（转换成谁的声音）", + "sec.vdes_content": "#### ✍️ 设计内容", + "stem.accompaniment": "伴奏", + "stem.audio": "输出", + "stem.bass": "贝斯", + "stem.drums": "鼓", + "stem.instrumental": "伴奏", + "stem.other": "其它", + "stem.vocals": "人声", + "tab.analyze": "🔎 音频分析", + "tab.asr": "📝 ASR / 音频转写", + "tab.gen": "🎵 音乐生成", + "tab.sep": "🎚️ 音源分离", + "tab.tts": "🗣️ TTS / 声音克隆", + "tab.vc": "🎭 声音转换", + "tab.vdes": "🎨 声音设计", + "task.audio_analysis": "音频分析", + "task.diarization": "说话人分离", + "task.music_gen": "音乐生成", + "task.separation": "音源分离", + "task.source_analysis": "源音频分析", + "task.voice_conversion": "声音转换", + "value.tts_sample_text": "你好，这是 audio.cpp 在网页上说话。", + "value.vdes_sample_text": "你好，这是 audio.cpp 用文字描述设计出来的声音。", + "warn.no_hf_token": "⚠️ 未检测到 HF token —— 受限/gated 模型会 401。请在上方填入 token（或先 `huggingface-cli login`），受限模型还需先到其 HF 页面点同意。", + "warn.vram_before_download": "⚠️ **显存不足警告**：该模型估算需 **≥{need}G** 显存，本机只有 **{have}G**——下载后大概率溢出到共享显存、速度很慢甚至跑不动。", + "warn.vram_hint": "⚠️ **显存提示**：该模型按默认设置估算需 **≥{need}G** 显存，本机检测到 **{have}G**——能加载但会溢出到共享显存而变慢。", + "warn.vram_hint_uninstalled": "⚠️ **显存提示**：该模型按默认设置估算需 **≥{need}G** 显存，本机检测到 **{have}G**——能加载但会溢出到共享显存而变慢，下载前请三思。" +} diff --git a/webui/logs/.gitkeep b/webui/logs/.gitkeep new file mode 100644 index 00000000..e69de29b diff --git a/webui/output/.gitkeep b/webui/output/.gitkeep new file mode 100644 index 00000000..e69de29b diff --git a/webui/realtime_pipeline.py b/webui/realtime_pipeline.py new file mode 100644 index 00000000..a8dc966b --- /dev/null +++ b/webui/realtime_pipeline.py @@ -0,0 +1,727 @@ +""" +Realtime voice pipeline for audio.cpp: VAD -> STT -> LLM -> TTS. + +Everything runs in-process inside the standalone realtime server (see +realtime_server.py). Speech detection is Python silero-vad (tiny, CPU); STT and +TTS are HTTP calls to two audio.cpp C++ servers (one ASR model, one TTS model), +so the realtime loop exercises audio.cpp's own ASR + TTS at the same time. The +LLM is any OpenAI-compatible Chat Completions endpoint (DeepSeek by default). + +Topology (URLs/models are per-session, pushed from the browser Settings panel): + + mic PCM16 16k --> [silero VAD] --> speech segment + --> [ASR server /v1/audio/transcriptions] --> text + --> [LLM /chat/completions, streamed] --> reply tokens + --> [TTS server /v1/audio/speech, per sentence] --> WAV + --> resample to 16k PCM16 --> browser playback + +Two independent audio.cpp servers are expected, e.g.: + + run_server.bat qwen3-tts 8080 (TTS) + run_server.bat qwen3-asr 8081 (ASR) + +Both may also be the *same* multi-model server; the pipeline only needs a URL + +model id for each stage, so either topology works. +""" + +from __future__ import annotations + +import io +import json +import logging +import os +import queue +import re +import tempfile +import threading +import wave +from dataclasses import dataclass +from typing import Any, Iterator, Optional + +import numpy as np +import requests +import torch +import httpx + +logger = logging.getLogger("realtime.pipeline") + +# ── constants ────────────────────────────────────────────────────────── +PIPELINE_SR = 16000 +VAD_FRAME = 512 # silero window at 16 kHz (~32 ms) +CHUNK_SAMPLES = 512 # samples per outbound audio chunk at 16 kHz +_SENTENCE_END = re.compile(r"[.!?。！？…\n]") +_CLAUSE_END = re.compile(r"[,;:，、；：]") +_SOFT_BREAK = re.compile(r"\s+") +_MIN_TTS_CHARS = 6 # don't synthesize tiny fragments on their own +_TARGET_TTS_CHARS = 36 # small chunks keep first audio responsive on local GPUs +_MAX_TTS_CHARS = 72 # force a chunk even if the LLM avoids punctuation + + +# ── cancel scope (cooperative cancellation for barge-in) ─────────────── + + +class CancelScope: + """Generation-counter pattern: each barge-in bumps ``generation``; the + in-flight turn checks ``is_stale(gen)`` between steps and aborts early.""" + + def __init__(self) -> None: + self.generation: int = 0 + + def cancel(self) -> None: + self.generation += 1 + + def is_stale(self, gen: int) -> bool: + return gen != self.generation + + +# ── pipeline events (emitted by stages, consumed by the WebSocket layer) ─ + + +@dataclass +class PipelineEvent: + pass + + +@dataclass +class SpeechStarted(PipelineEvent): + pass + + +@dataclass +class SpeechStopped(PipelineEvent): + # Only the VAD->worker copy carries audio; the outbound copy leaves it None. + audio: Optional[np.ndarray] = None + + +@dataclass +class UserTranscript(PipelineEvent): + text: str + partial: bool = False + + +@dataclass +class AssistantText(PipelineEvent): + text: str + + +@dataclass +class AudioChunk(PipelineEvent): + """One chunk of 16-bit PCM audio at 16 kHz.""" + pcm: bytes # int16 LE + + +@dataclass +class ResponseDone(PipelineEvent): + pass + + +# ── audio helpers ─────────────────────────────────────────────────────── + + +def _wav_bytes_to_pcm16_16k(data: bytes) -> bytes: + """Decode a WAV response and return mono PCM16 at 16 kHz. audio.cpp models + emit whatever native rate they run at (e.g. 24 kHz), but the browser + playback worklet is fixed to 16 kHz, so we downmix + resample here.""" + if len(data) < 44 or data[:4] != b"RIFF": + # Assume the server already handed back raw PCM16 @ 16 kHz. + return data + try: + with wave.open(io.BytesIO(data), "rb") as wf: + sr = wf.getframerate() + channels = wf.getnchannels() + sampwidth = wf.getsampwidth() + frames = wf.readframes(wf.getnframes()) + except (wave.Error, EOFError) as exc: + logger.error("TTS WAV decode failed: %r", exc) + return b"" + if sampwidth != 2: + logger.error("TTS returned %d-byte samples; only PCM16 is supported", sampwidth) + return b"" + arr = np.frombuffer(frames, dtype=" 1: + arr = arr.reshape(-1, channels).mean(axis=1) + if sr != PIPELINE_SR and arr.size: + n_out = int(round(arr.size * PIPELINE_SR / sr)) + if n_out > 0: + x_old = np.linspace(0.0, 1.0, num=arr.size, endpoint=False) + x_new = np.linspace(0.0, 1.0, num=n_out, endpoint=False) + arr = np.interp(x_new, x_old, arr.astype(np.float32)) + arr = np.clip(np.round(arr), -32768, 32767).astype(" bytes: + """float32 [-1,1] @ 16 kHz mono -> WAV bytes (for the ASR request).""" + pcm = np.clip(np.round(audio * 32767.0), -32768, 32767).astype(" None: + arr = np.frombuffer(pcm, dtype=np.int16).astype(np.float32) / 32768.0 + self._pending = np.concatenate([self._pending, arr]) if self._pending.size else arr + + def _speech_prob(self, frame: np.ndarray) -> float: + with torch.no_grad(): + out = self._model(torch.from_numpy(frame), PIPELINE_SR) + return float(out.reshape(-1)[0]) + + def process(self) -> None: + """Consume whole 512-sample frames from the pending buffer. Called from + the VAD ticker thread every ~30 ms worth of audio.""" + n = self._pending.size // VAD_FRAME + if n == 0: + return + frames = self._pending[: n * VAD_FRAME].reshape(n, VAD_FRAME) + self._pending = self._pending[n * VAD_FRAME:].copy() + for frame in frames: + voiced = self._speech_prob(frame) >= self._threshold + if not self._speaking: + if voiced: + self._speech_run += 1 + # Accumulate into pre-speech ring buffer so these frames + # aren't lost when speech is confirmed below. + self._pre_speech_buf.append(frame.copy()) + if len(self._pre_speech_buf) > self._pre_speech_max: + self._pre_speech_buf.pop(0) + if self._speech_run >= self._min_speech_frames: + self._speaking = True + self._silence_run = 0 + # Include ALL pre-speech frames + current frame so the + # ASR gets the complete utterance from the very start. + self._segment = list(self._pre_speech_buf) + self._pre_speech_buf = [] + self._out.put(SpeechStarted()) + self._cancel.cancel() # barge-in + else: + self._speech_run = 0 + self._pre_speech_buf = [] + else: + self._segment.append(frame.copy()) + if voiced: + self._silence_run = 0 + else: + self._silence_run += 1 + if self._silence_run >= self._min_silence_frames: + seg = np.concatenate(self._segment) if self._segment else None + self._segment = [] + self._speaking = False + self._speech_run = 0 + self._out.put(SpeechStopped()) + self._turns.put(SpeechStopped(audio=seg)) + + +# ── STT stage (audio.cpp ASR server) ──────────────────────────────────── + + +class _STTStage: + """Transcribe a speech segment via an audio.cpp ASR server.""" + + def __init__(self, server_url: str, model_id: str, language: str = ""): + self._server_url = server_url.rstrip("/") + self._model_id = model_id + self._language = language + self._http = requests.Session() + + def configure(self, server_url: Optional[str] = None, model_id: Optional[str] = None, + language: Optional[str] = None) -> None: + if server_url: + self._server_url = server_url.rstrip("/") + if model_id: + self._model_id = model_id + if language is not None: + self._language = language + + def transcribe(self, audio: np.ndarray) -> str: + wav = _float_to_wav16k(audio) + tmp = tempfile.NamedTemporaryFile(prefix="rt_asr_", suffix=".wav", delete=False) + try: + tmp.write(wav) + tmp.close() + payload: dict[str, Any] = {"model": self._model_id, "audio": tmp.name} + if self._language: + payload["language"] = self._language + r = self._http.post( + f"{self._server_url}/v1/audio/transcriptions", json=payload, timeout=60) + if r.status_code != 200: + logger.error("ASR error %s: %s", r.status_code, r.text[:200]) + return "" + return (r.json().get("text") or "").strip() + except requests.RequestException as exc: + logger.error("ASR server unreachable (%s): %r", self._server_url, exc) + return "" + except (ValueError, KeyError) as exc: + logger.error("ASR bad response: %r", exc) + return "" + finally: + try: + os.unlink(tmp.name) + except OSError: + pass + + +# ── LLM stage ─────────────────────────────────────────────────────────── + + +class _LLMStage: + """OpenAI-compatible Chat Completions (DeepSeek by default).""" + + DEFAULT_SYSTEM = ( + "You are a helpful voice assistant. Keep responses concise — under 3 " + "sentences when possible. Always reply in the same language the user " + "speaks. If the user speaks Chinese, use Simplified Chinese (简体中文), " + "not Traditional Chinese." + ) + + def __init__(self, base_url: str, api_key: str = "", model: str = "deepseek-chat", + instructions: str = ""): + self._base_url = base_url.rstrip("/") + self._api_key = api_key + self._model = model + self._system = instructions.strip() or self.DEFAULT_SYSTEM + self._messages: list[dict[str, Any]] = [{"role": "system", "content": self._system}] + self._http = httpx.Client(timeout=60.0) + + def configure(self, base_url: Optional[str] = None, api_key: Optional[str] = None, + model: Optional[str] = None, instructions: Optional[str] = None) -> None: + if base_url: + self._base_url = base_url.rstrip("/") + if api_key is not None: + self._api_key = api_key + if model: + self._model = model + if instructions is not None: + new_system = instructions.strip() or self.DEFAULT_SYSTEM + if new_system != self._system: + self._system = new_system + self._messages[0] = {"role": "system", "content": self._system} + + def add_user_message(self, text: str) -> None: + self._messages.append({"role": "user", "content": text}) + + def add_assistant_message(self, text: str) -> None: + self._messages.append({"role": "assistant", "content": text}) + if len(self._messages) > 21: # system + last 20 turns + self._messages = [self._messages[0]] + self._messages[-20:] + + def stream(self, cancel_scope: CancelScope, gen: int) -> Iterator[str]: + headers: dict[str, str] = {"Content-Type": "application/json"} + if self._api_key: + headers["Authorization"] = f"Bearer {self._api_key}" + payload: dict[str, Any] = { + "model": self._model, "messages": self._messages, "stream": True, + } + try: + with self._http.stream("POST", f"{self._base_url}/chat/completions", + json=payload, headers=headers) as resp: + if resp.status_code != 200: + resp.read() + logger.error("LLM API error %s: %s", resp.status_code, resp.text[:300]) + return + for line in resp.iter_lines(): + if cancel_scope.is_stale(gen): + return + if not line.startswith("data: "): + continue + data_str = line[6:] + if data_str == "[DONE]": + return + try: + data = json.loads(data_str) + content = data["choices"][0]["delta"].get("content", "") + if content: + yield content + except (json.JSONDecodeError, KeyError, IndexError): + continue + except httpx.RequestError as exc: + logger.error("LLM API unreachable (%s): %r", self._base_url, exc) + + +# ── TTS stage (audio.cpp TTS server) ──────────────────────────────────── + + +class _TTSStage: + """Synthesize speech via an audio.cpp TTS server, resampled to 16 kHz.""" + + def __init__(self, server_url: str): + self._server_url = server_url.rstrip("/") + self._http = requests.Session() + + def configure(self, server_url: Optional[str] = None) -> None: + if server_url: + self._server_url = server_url.rstrip("/") + + def synthesize(self, text: str, model_id: str, voice: str = "", + voice_ref: str = "", reference_text: str = "") -> bytes: + payload: dict[str, Any] = {"model": model_id, "input": text} + if voice: + payload["voice"] = voice + if voice_ref: + payload["voice_ref"] = voice_ref + if reference_text: + payload["reference_text"] = reference_text + try: + r = self._http.post( + f"{self._server_url}/v1/audio/speech", json=payload, timeout=120) + except requests.RequestException as exc: + logger.error("TTS server unreachable (%s): %r", self._server_url, exc) + return b"" + if r.status_code != 200: + logger.error("TTS error %s: %s", r.status_code, r.text[:200]) + return b"" + return _wav_bytes_to_pcm16_16k(r.content) + + +# ── orchestrator ──────────────────────────────────────────────────────── + + +class RealtimePipeline: + """Owns the full VAD->STT->LLM->TTS loop. The WebSocket layer feeds raw mic + audio via ``feed_audio`` and pulls outbound events via ``drain_events``. + Per-session config (server URLs, model ids, voice, LLM key, instructions) is + applied with ``configure`` from the browser's session.update.""" + + def __init__( + self, + tts_server: str = "http://127.0.0.1:8080", + tts_model: str = "qwen3-tts", + tts_voice: str = "", + tts_voice_ref: str = "", + tts_reference_text: str = "", + asr_server: str = "http://127.0.0.1:8081", + asr_model: str = "qwen3-asr", + asr_language: str = "", + llm_base_url: str = "https://api.deepseek.com/v1", + llm_api_key: str = "", + llm_model: str = "deepseek-chat", + instructions: str = "", + ): + self._out_events: "queue.Queue[PipelineEvent]" = queue.Queue() + self._turn_queue: "queue.Queue[SpeechStopped]" = queue.Queue() + self._cancel_scope = CancelScope() + self._vad = _VADStage(self._out_events, self._turn_queue, self._cancel_scope) + self._stt = _STTStage(asr_server, asr_model, asr_language) + self._llm = _LLMStage(llm_base_url, llm_api_key, llm_model, instructions) + self._tts = _TTSStage(tts_server) + self._tts_model = tts_model + self._tts_voice = tts_voice + self._tts_voice_ref = tts_voice_ref + self._tts_reference_text = tts_reference_text + self._cfg_lock = threading.Lock() + self._threads: list[threading.Thread] = [] + self._stop_event = threading.Event() + # TTS worker thread — LLM and TTS run in parallel via queue + self._tts_queue: "queue.Queue[tuple]" = queue.Queue() + self._tts_pending = 0 + self._tts_lock = threading.Lock() + + # ── lifecycle ───────────────────────────────────────────────────── + + def start(self) -> None: + for target, name in ((self._vad_loop, "realtime-vad"), + (self._pipeline_loop, "realtime-pipeline"), + (self._tts_worker, "realtime-tts")): + t = threading.Thread(target=target, daemon=True, name=name) + t.start() + self._threads.append(t) + + def stop(self) -> None: + self._stop_event.set() + self._cancel_scope.cancel() + self._tts_queue.put(None) # wake TTS worker so it can exit + + def feed_audio(self, pcm: bytes) -> None: + self._vad.add_chunk(pcm) + + def cancel(self) -> None: + self._cancel_scope.cancel() + + def drain_events(self) -> list[PipelineEvent]: + events: list[PipelineEvent] = [] + while True: + try: + events.append(self._out_events.get_nowait()) + except queue.Empty: + break + return events + + def configure(self, cfg: dict[str, Any]) -> None: + """Apply per-session config pushed from the browser (session.update). + + Empty-string values are treated as "no override" so the env defaults + (set in run_realtime.bat) survive — e.g. qwen3-tts-Base requires a + voice_ref; an empty browser field must not clobber the env-provided + reference audio path. + """ + def val(key: str) -> Optional[str]: + v = cfg.get(key) + return v if isinstance(v, str) and v else None + + with self._cfg_lock: + self._stt.configure( + server_url=val("asr_server"), + model_id=val("asr_model"), + language=val("asr_language"), + ) + self._tts.configure(server_url=val("tts_server")) + if val("tts_model"): + self._tts_model = val("tts_model") + if val("tts_voice"): + self._tts_voice = val("tts_voice") + if val("tts_voice_ref"): + self._tts_voice_ref = val("tts_voice_ref") + if val("tts_reference_text"): + self._tts_reference_text = val("tts_reference_text") + self._llm.configure( + base_url=val("llm_base_url"), + api_key=val("llm_api_key"), + model=val("llm_model"), + instructions=val("instructions"), + ) + + # ── background loops ────────────────────────────────────────────── + + def _vad_loop(self) -> None: + while not self._stop_event.is_set(): + try: + self._vad.process() + except Exception: # never let a bad frame kill the ticker + logger.exception("VAD process error") + self._stop_event.wait(0.03) + + def _pipeline_loop(self) -> None: + while not self._stop_event.is_set(): + try: + stopped = self._turn_queue.get(timeout=0.2) + except queue.Empty: + continue + audio = stopped.audio + if audio is None or len(audio) < PIPELINE_SR * 0.3: # < 0.3s: ignore + continue + try: + self._run_turn(audio) + except Exception: + logger.exception("turn failed") + self._out_events.put(ResponseDone()) + + # ── TTS worker thread ────────────────────────────────────────────── + + def _tts_worker(self) -> None: + """Pull sentences from _tts_queue, synthesize them, push AudioChunk + events. Runs in its own thread so the LLM continues generating while + the TTS server synthesises the previous sentence.""" + while not self._stop_event.is_set(): + try: + item = self._tts_queue.get(timeout=0.2) + except queue.Empty: + continue + if item is None: # shutdown sentinel + break + text, gen, model, voice, voice_ref, reference_text = item + if self._cancel_scope.is_stale(gen): + with self._tts_lock: + self._tts_pending -= 1 + continue + try: + pcm = self._tts.synthesize( + text, model_id=model, voice=voice, + voice_ref=voice_ref, reference_text=reference_text) + except Exception: + logger.exception("TTS synthesis failed") + with self._tts_lock: + self._tts_pending -= 1 + continue + step = CHUNK_SAMPLES * 2 + for i in range(0, len(pcm), step): + if self._cancel_scope.is_stale(gen): + break + chunk = pcm[i:i + step] + if len(chunk) < step: + chunk = chunk.ljust(step, b"\x00") + self._out_events.put(AudioChunk(pcm=chunk)) + with self._tts_lock: + self._tts_pending -= 1 + + # ── one conversational turn ─────────────────────────────────────── + + def _run_turn(self, audio: np.ndarray) -> None: + gen = self._cancel_scope.generation + + # ── STT ── + text = self._stt.transcribe(audio) + if not text or self._cancel_scope.is_stale(gen): + return + logger.info("USER: %s", text) + self._out_events.put(UserTranscript(text=text, partial=False)) + self._llm.add_user_message(text) + + # ── LLM stream -> sentence-chunked TTS (parallel via queue) ── + with self._cfg_lock: + tts_model, tts_voice = self._tts_model, self._tts_voice + tts_ref, tts_ref_text = self._tts_voice_ref, self._tts_reference_text + pending = "" + full = "" + for token in self._llm.stream(self._cancel_scope, gen): + if self._cancel_scope.is_stale(gen): + # Barge-in: drain queued TTS items that haven't started yet, + # then return immediately — the worker will discard in-flight + # audio when it checks is_stale. + drained = 0 + while True: + try: + self._tts_queue.get_nowait() + drained += 1 + except queue.Empty: + break + with self._tts_lock: + self._tts_pending = max(0, self._tts_pending - drained) + return + full += token + pending += token + while True: + chunk, pending = self._split_speakable(pending) + if chunk is None: + break + self._speak(chunk, gen, tts_model, tts_voice, tts_ref, tts_ref_text) + + if self._cancel_scope.is_stale(gen): + return + if pending.strip(): + self._speak(pending, gen, tts_model, tts_voice, tts_ref, tts_ref_text) + + # Wait for all queued TTS items to finish before marking the turn done. + while not self._stop_event.is_set(): + with self._tts_lock: + if self._tts_pending <= 0: + break + self._stop_event.wait(0.05) + + if full.strip(): + logger.info("ASSISTANT: %s", full.strip()) + self._llm.add_assistant_message(full.strip()) + self._out_events.put(ResponseDone()) + + @staticmethod + def _split_speakable(buf: str) -> tuple[Optional[str], str]: + """Pull one short, speakable chunk from ``buf``. + + audio.cpp's HTTP TTS endpoint returns a whole WAV per request, so we + simulate streaming by feeding it compact clauses instead of waiting for + an entire assistant paragraph. Sentence punctuation wins; clause + punctuation is allowed once the chunk is useful; a long punctuation-free + span is force-split near a word boundary. + """ + text = buf.lstrip() + if not text: + return None, "" + + sentence = _SENTENCE_END.search(text) + if sentence and sentence.end() <= _TARGET_TTS_CHARS: + end = sentence.end() + head, tail = text[:end], text[end:] + if len(head.strip()) >= _MIN_TTS_CHARS or tail.strip(): + return head.strip(), tail + + if len(text) >= _TARGET_TTS_CHARS: + clause = None + for match in _CLAUSE_END.finditer(text): + if match.end() >= _MIN_TTS_CHARS: + clause = match + if match.end() >= _TARGET_TTS_CHARS: + break + if clause and clause.end() <= _MAX_TTS_CHARS: + end = clause.end() + return text[:end].strip(), text[end:] + + if sentence and sentence.end() <= _MAX_TTS_CHARS: + end = sentence.end() + head, tail = text[:end], text[end:] + if len(head.strip()) >= _MIN_TTS_CHARS or tail.strip(): + return head.strip(), tail + + if len(text) < _MAX_TTS_CHARS: + return None, buf + + window = text[:_MAX_TTS_CHARS] + split_at = 0 + for match in _SOFT_BREAK.finditer(window): + if match.end() >= _TARGET_TTS_CHARS: + split_at = match.end() + break + split_at = match.end() + if split_at < _MIN_TTS_CHARS: + split_at = _MAX_TTS_CHARS + return text[:split_at].strip(), text[split_at:] + + def _speak(self, text: str, gen: int, model: str, voice: str, + voice_ref: str, reference_text: str) -> None: + """Queue a sentence for TTS synthesis. The worker thread picks it up + so LLM generation continues without blocking on the HTTP call.""" + text = text.strip() + if not text: + return + # Match the original speech-to-speech architecture: text reaches the + # client as soon as the LLM has a speakable sentence, while TTS works in + # the background. This keeps the side panel from sitting blank during + # local TTS latency. + self._out_events.put(AssistantText(text=text)) + with self._tts_lock: + self._tts_pending += 1 + self._tts_queue.put((text, gen, model, voice, voice_ref, reference_text)) diff --git a/webui/realtime_server.py b/webui/realtime_server.py new file mode 100644 index 00000000..70ca287a --- /dev/null +++ b/webui/realtime_server.py @@ -0,0 +1,392 @@ +""" +Background FastAPI server for the realtime voice pipeline. + +Runs in a daemon thread inside the Gradio webui process. Exposes:: + + ws://127.0.0.1:8765/v1/realtime — OpenAI Realtime protocol WebSocket + http://127.0.0.1:8765/realtime/ — static orb frontend + GET /health — liveness check + +These are only *defaults*; the browser Settings panel overrides them per session +via ``session.update`` (see ``_config_from_session``). + +Environment variables:: + + AUDIOCPP_LLM_API_KEY DeepSeek / OpenAI-compatible API key + AUDIOCPP_LLM_BASE_URL Chat Completions endpoint (default: https://api.deepseek.com/v1) + AUDIOCPP_LLM_MODEL Model ID (default: deepseek-chat) + AUDIOCPP_TTS_SERVER C++ TTS server URL (default: http://127.0.0.1:8080) + AUDIOCPP_TTS_MODEL TTS model id loaded in that server (default: qwen3-tts) + AUDIOCPP_TTS_VOICE Named cached voice id (optional; else use voice_ref) + AUDIOCPP_TTS_VOICE_REF Reference audio path for voice cloning + AUDIOCPP_TTS_REF_TEXT Text of the reference audio + AUDIOCPP_ASR_SERVER C++ ASR server URL (default: http://127.0.0.1:8081) + AUDIOCPP_ASR_MODEL ASR model id loaded in that server (default: qwen3-asr) + AUDIOCPP_ASR_LANGUAGE Optional language hint for the ASR model + AUDIOCPP_INSTRUCTIONS System prompt for the assistant + AUDIOCPP_REALTIME_PORT WebSocket server port (default: 8765) +""" + +from __future__ import annotations + +import asyncio +import base64 +import json +import logging +import os +import threading +from typing import Any, Optional + +import uvicorn +from fastapi import FastAPI, WebSocket, WebSocketDisconnect +from fastapi.staticfiles import StaticFiles + +from realtime_pipeline import ( + AssistantText, + AudioChunk, + PipelineEvent, + RealtimePipeline, + ResponseDone, + SpeechStarted, + SpeechStopped, + UserTranscript, +) + +logger = logging.getLogger("realtime.server") + +HERE = os.path.dirname(os.path.abspath(__file__)) +STATIC_DIR = os.path.join(HERE, "realtime_static") + +# ── helpers ───────────────────────────────────────────────────────────── + + +def _env(key: str, default: str = "") -> str: + return os.environ.get(key, default).strip() + + +def _generate_id(prefix: str = "id") -> str: + import uuid + return f"{prefix}_{uuid.uuid4().hex[:12]}" + + +def _join_transcript(parts: list[str]) -> str: + out = "" + for part in parts: + text = (part or "").strip() + if not text: + continue + if not out: + out = text + elif (out[-1].isspace() or text[0].isspace() + or text[0] in ",.;:!?，。！？、；：）]}》”’" + or out[-1] in "([{（《“‘" + or "\u3400" <= out[-1] <= "\u9fff" + or "\u3400" <= text[0] <= "\u9fff"): + out += text + else: + out += " " + text + return out.strip() + + +def _resolve_voice_ref(path: str) -> str: + """If *path* is relative, resolve it against the webui/ directory so the + C++ TTS server (whose CWD may be anywhere) can open it.""" + if not path: + return path + if os.path.isabs(path): + return path + return os.path.normpath(os.path.join(HERE, path)) + + +def _default_config() -> dict: + """Pipeline config from environment (browser Settings override per session).""" + return { + "tts_server": _env("AUDIOCPP_TTS_SERVER", "http://127.0.0.1:8080"), + "tts_model": _env("AUDIOCPP_TTS_MODEL", "qwen3-tts"), + "tts_voice": _env("AUDIOCPP_TTS_VOICE", ""), + "tts_voice_ref": _resolve_voice_ref(_env("AUDIOCPP_TTS_VOICE_REF", "")), + "tts_reference_text": _env("AUDIOCPP_TTS_REF_TEXT", ""), + "asr_server": _env("AUDIOCPP_ASR_SERVER", "http://127.0.0.1:8081"), + "asr_model": _env("AUDIOCPP_ASR_MODEL", "qwen3-asr"), + "asr_language": _env("AUDIOCPP_ASR_LANGUAGE", ""), + "llm_base_url": _env("AUDIOCPP_LLM_BASE_URL", "https://api.deepseek.com/v1"), + "llm_api_key": _env("AUDIOCPP_LLM_API_KEY", ""), + "llm_model": _env("AUDIOCPP_LLM_MODEL", "deepseek-chat"), + "instructions": _env("AUDIOCPP_INSTRUCTIONS", ""), + } + + +# Keys the browser is allowed to override via session.update -> session.audiocpp. +_OVERRIDABLE_KEYS = { + "tts_server", "tts_model", "tts_voice", "tts_voice_ref", "tts_reference_text", + "asr_server", "asr_model", "asr_language", + "llm_base_url", "llm_api_key", "llm_model", "instructions", +} + + +def _config_from_session(session: dict) -> dict: + """Extract pipeline overrides from a session.update payload. Custom fields + live under ``session.audiocpp``; the standard OpenAI Realtime fields + ``instructions`` and ``audio.output.voice`` are also honored.""" + cfg: dict[str, Any] = {} + audiocpp = session.get("audiocpp") + if isinstance(audiocpp, dict): + for key, value in audiocpp.items(): + if key in _OVERRIDABLE_KEYS: + cfg[key] = value + if isinstance(session.get("instructions"), str): + cfg["instructions"] = session["instructions"] + audio = session.get("audio") + if isinstance(audio, dict): + output = audio.get("output") + if isinstance(output, dict) and isinstance(output.get("voice"), str) and output["voice"]: + cfg["tts_voice"] = output["voice"] + # Resolve relative voice_ref paths against webui/ so the C++ TTS server + # finds them regardless of its own working directory. + if "tts_voice_ref" in cfg: + cfg["tts_voice_ref"] = _resolve_voice_ref(cfg["tts_voice_ref"]) + return cfg + + +# ── FastAPI app factory ───────────────────────────────────────────────── + + +def create_app() -> FastAPI: + app = FastAPI(title="audio.cpp Realtime") + + defaults = _default_config() + + @app.get("/health") + async def health(): + return {"status": "ok"} + + @app.get("/config") + async def config(): + """Return the env-default pipeline config so the browser Settings panel + can pre-fill fields (TTS/ASR/LLM URLs, model ids, voice_ref, etc.). + Do not echo the LLM API key back to the browser; the pipeline can still + use the env-provided key as its server-side default.""" + public_defaults = dict(defaults) + public_defaults["llm_api_key"] = "" + public_defaults["llm_api_key_set"] = bool(defaults.get("llm_api_key")) + return public_defaults + + @app.websocket("/v1/realtime") + async def ws_realtime(ws: WebSocket): + await ws.accept() + session_id = _generate_id("session") + + pipeline = RealtimePipeline(**defaults) + pipeline.start() + + # ── Send session.created ── + await ws.send_json({ + "type": "session.created", + "session": { + "id": session_id, + "type": "realtime", + "audio": { + "input": {"format": {"type": "pcm16", "sample_rate": 16000, "channels": 1}}, + "output": {"format": {"type": "pcm16", "sample_rate": 16000, "channels": 1}}, + }, + }, + }) + + async def send_events(): + """Poll pipeline events and send them over the WebSocket.""" + current_resp_id: Optional[str] = None # stable across one assistant turn + _full_parts: list[str] = [] # committed sentences for response.done + + def _ensure_resp_id() -> str: + nonlocal current_resp_id + if current_resp_id is None: + current_resp_id = _generate_id("resp") + return current_resp_id + + while True: + await asyncio.sleep(0.01) + for event in pipeline.drain_events(): + if isinstance(event, SpeechStarted): + current_resp_id = None # barge-in: new turn, new response + _full_parts = [] + item_id = _generate_id("item") + await ws.send_json({ + "type": "input_audio_buffer.speech_started", + "item_id": item_id, + }) + elif isinstance(event, SpeechStopped): + await ws.send_json({ + "type": "input_audio_buffer.speech_stopped", + }) + elif isinstance(event, UserTranscript): + item_id = _generate_id("item") + await ws.send_json({ + "type": "conversation.item.input_audio_transcription.completed", + "item_id": item_id, + "transcript": event.text, + }) + elif isinstance(event, AssistantText): + # Each delta is now a complete sentence, emitted when + # its TTS audio starts being sent — so the frontend + # shows the text synchronised with audio playback. + rid = _ensure_resp_id() + await ws.send_json({ + "type": "response.output_audio_transcript.delta", + "response_id": rid, + "delta": event.text, + }) + # Immediately commit as a done segment (the pipeline + # already split on sentence boundaries). + _full_parts.append(event.text) + await ws.send_json({ + "type": "response.output_audio_transcript.done", + "response_id": rid, + "transcript": event.text, + }) + elif isinstance(event, AudioChunk): + b64 = base64.b64encode(event.pcm).decode("ascii") + await ws.send_json({ + "type": "response.output_audio.delta", + "response_id": _ensure_resp_id(), + "delta": b64, + }) + elif isinstance(event, ResponseDone): + rid = current_resp_id or _ensure_resp_id() + full_transcript = _join_transcript(_full_parts) + await ws.send_json({ + "type": "response.done", + "response": { + "id": rid, + "status": "completed", + "output": [{ + "type": "message", + "content": [{ + "type": "audio", + "transcript": full_transcript, + }], + }] if full_transcript else [], + }, + }) + current_resp_id = None + _full_parts = [] + + # Start the event sender as a background task + send_task = asyncio.create_task(send_events()) + + try: + while True: + raw = await ws.receive_text() + try: + msg = json.loads(raw) + except json.JSONDecodeError: + continue + + msg_type = msg.get("type", "") + + if msg_type == "session.update": + session = msg.get("session") + if isinstance(session, dict): + cfg = _config_from_session(session) + if cfg: + pipeline.configure(cfg) + await ws.send_json({"type": "session.updated"}) + + elif msg_type == "input_audio_buffer.append": + audio_b64 = msg.get("audio", "") + if audio_b64: + try: + pcm = base64.b64decode(audio_b64) + pipeline.feed_audio(pcm) + except Exception: + pass + + elif msg_type == "response.cancel": + pipeline.cancel() + + elif msg_type == "input_audio_buffer.commit": + pass # VAD handles boundaries automatically + + elif msg_type == "response.create": + pass # LLM is triggered automatically after STT + + except WebSocketDisconnect: + logger.info("WebSocket client disconnected: %s", session_id) + finally: + send_task.cancel() + try: + await send_task + except asyncio.CancelledError: + pass + pipeline.stop() + + # Serve static orb frontend + if os.path.isdir(STATIC_DIR): + app.mount("/realtime", StaticFiles(directory=STATIC_DIR, html=True), name="static") + + return app + + +# ── server launcher (called from webui.py) ────────────────────────────── + + +class RealtimeServerThread: + """Manages a uvicorn server in a background daemon thread.""" + + def __init__(self, port: int = 8765): + self.port = port + self._thread: Optional[threading.Thread] = None + self._server: Optional[uvicorn.Server] = None + + @property + def running(self) -> bool: + return self._server is not None + + def start(self) -> None: + if self._server is not None: + return + app = create_app() + config = uvicorn.Config(app, host="127.0.0.1", port=self.port, log_level="warning") + self._server = uvicorn.Server(config) + + def _run(): + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + loop.run_until_complete(self._server.serve()) # type: ignore[union-attr] + + self._thread = threading.Thread(target=_run, daemon=True, name="realtime-server") + self._thread.start() + logger.info("Realtime server started on ws://127.0.0.1:%d/v1/realtime", self.port) + + def stop(self) -> None: + if self._server is None: + return + self._server.should_exit = True + logger.info("Realtime server stopped") + + +# Module-level singleton +_server: Optional[RealtimeServerThread] = None + + +def get_server(port: int = 8765) -> RealtimeServerThread: + global _server + if _server is None: + _server = RealtimeServerThread(port=port) + return _server + + +# ── direct execution ────────────────────────────────────────────────── +if __name__ == "__main__": + import sys + port = int(sys.argv[1]) if len(sys.argv) > 1 else int(os.environ.get("AUDIOCPP_REALTIME_PORT", "8765")) + server = get_server(port) + server.start() + print(f"Realtime server running at http://127.0.0.1:{port}/realtime/") + print(f"WebSocket at ws://127.0.0.1:{port}/v1/realtime") + try: + import time + while True: + time.sleep(1) + except KeyboardInterrupt: + server.stop() + print("Server stopped.") diff --git a/webui/realtime_static/index.html b/webui/realtime_static/index.html new file mode 100644 index 00000000..715d0595 --- /dev/null +++ b/webui/realtime_static/index.html @@ -0,0 +1,235 @@ + + + + + + audio.cpp Realtime Voice + + + + + + +
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+ audio.cpp Realtime +
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Real-time voice chat powered by audio.cpp TTS + LLM.

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Tap to start

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Conversation

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Settings

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TTS · audio.cpp 语音合成服务

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ASR · audio.cpp 语音识别服务

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LLM · Chat Completions

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+ + + + + diff --git a/webui/realtime_static/main.js b/webui/realtime_static/main.js new file mode 100644 index 00000000..e09e1d79 --- /dev/null +++ b/webui/realtime_static/main.js @@ -0,0 +1,580 @@ +// @ts-check +/** + * audio.cpp Realtime Voice — simplified orb frontend. + * Always connects directly to ws://127.0.0.1:8765/v1/realtime. + * No tools, no settings, no LB mode — just the orb. + * + * @typedef {"idle" | "connecting" | "queued" | "your-turn" | + * "listening" | "user-speaking" | "processing" | + * "ai-speaking" | "error"} AppState + */ + +import { S2sWsRealtimeClient } from "./ws/s2s-ws-client.js"; +import { ChatView } from "./ui/chat.js"; +import { $, truncateError, DEBUG } from "./ui/dom.js"; + +// ── Settings (persisted in localStorage) ─────────────────────────────── +const DEFAULT_RT_URL = "ws://127.0.0.1:8765/v1/realtime"; +const DEFAULT_INSTRUCTIONS = + "You are a friendly voice assistant. Keep replies short and spoken. " + + "Always reply in the same language the user speaks. " + + "If the user speaks Chinese, use Simplified Chinese (简体中文), not Traditional Chinese."; + +const STORAGE = { + rtUrl: "audiocpp.rt.url", + ttsUrl: "audiocpp.tts.url", + ttsModel: "audiocpp.tts.model", + ttsVoice: "audiocpp.tts.voice", + ttsVoiceRef: "audiocpp.tts.voiceRef", + ttsRefText: "audiocpp.tts.refText", + asrUrl: "audiocpp.asr.url", + asrModel: "audiocpp.asr.model", + asrLanguage: "audiocpp.asr.language", + llmUrl: "audiocpp.llm.url", + llmModel: "audiocpp.llm.model", + llmKey: "audiocpp.llm.key", + instructions: "audiocpp.llm.instructions", + noiseGate: "audiocpp.noiseGate", +}; + +// Noise gate: slider minimum = off (gate disabled), rest = active threshold dBFS. +const GATE_OFF_DB = -66; +const GATE_MAX_DB = -3; +const GATE_DEFAULT_DB = -50; + +const DEFAULTS = { + rtUrl: DEFAULT_RT_URL, + ttsUrl: "http://127.0.0.1:8080", + ttsModel: "qwen3-tts", + ttsVoice: "", + ttsVoiceRef: "", + ttsRefText: "", + asrUrl: "http://127.0.0.1:8081", + asrModel: "qwen3-asr", + asrLanguage: "", + llmUrl: "https://api.deepseek.com/v1", + llmModel: "deepseek-chat", + llmKey: "", + instructions: DEFAULT_INSTRUCTIONS, + noiseGate: String(GATE_DEFAULT_DB), +}; + +function loadSettings() { + const s = {}; + for (const [k, def] of Object.entries(DEFAULTS)) { + if (k === "llmKey") { + localStorage.removeItem(STORAGE[k]); + s[k] = def; + continue; + } + const v = localStorage.getItem(STORAGE[k]); + s[k] = v === null ? def : v; + } + return s; +} + +/** Env defaults fetched from the realtime server's /config endpoint. Empty + * until the fetch resolves; merged in so the Settings panel pre-fills fields + * the user hasn't customized. localStorage still wins over env defaults. */ +let envDefaults = {}; + +async function refreshEnvDefaults() { + try { + // The realtime page is served at /realtime/, so the backend root is two + // levels up. Fall back to same origin if that fails. + const urls = [ + new URL("../../config", window.location.href).href, + new URL("/config", window.location.origin).href, + ]; + for (const u of urls) { + try { + const res = await fetch(u, { cache: "no-store" }); + if (res.ok) { + envDefaults = await res.json(); + // Apply: any field the user hasn't set in localStorage takes the env value. + for (const k of Object.keys(DEFAULTS)) { + if (envDefaults[k] != null && localStorage.getItem(STORAGE[k]) === null) { + settings[k] = envDefaults[k]; + } + } + return; + } + } catch { /* try next */ } + } + } catch (e) { + console.warn("[main] /config fetch failed:", e); + } +} + +function saveSettings(s) { + for (const k of Object.keys(DEFAULTS)) { + if (k === "llmKey") { + localStorage.removeItem(STORAGE[k]); + continue; + } + localStorage.setItem(STORAGE[k], String(s[k] ?? "")); + } +} + +/** Build the `audiocpp` config block sent inside session.update. */ +function appConfigFromSettings(s) { + return { + tts_server: s.ttsUrl, + tts_model: s.ttsModel, + tts_voice: s.ttsVoice, + tts_voice_ref: s.ttsVoiceRef, + tts_reference_text: s.ttsRefText, + asr_server: s.asrUrl, + asr_model: s.asrModel, + asr_language: s.asrLanguage, + llm_base_url: s.llmUrl, + llm_model: s.llmModel, + llm_api_key: s.llmKey, + instructions: s.instructions, + }; +} + +let settings = loadSettings(); + +// ── State machine ────────────────────────────────────────────────────── +const STATE_CLASS = { + idle: "state-idle", connecting: "state-connecting", + queued: "state-queued", "your-turn": "state-your-turn", + listening: "state-listening", "user-speaking": "state-user-speaking", + processing: "state-processing", "ai-speaking": "state-ai-speaking", + error: "state-error", +}; +const STATE_VIEWS = { + idle: { caption: "点击开始对话", disabled: false }, + connecting: { caption: "连接中", disabled: true }, + queued: { caption: "排队中…", disabled: true }, + "your-turn": { caption: "准备就绪", disabled: true }, + listening: { caption: "", disabled: false }, + "user-speaking": { caption: "", disabled: false }, + processing: { caption: "正在生成回复", disabled: false }, + "ai-speaking": { caption: "正在播放", disabled: false }, + error: { caption: "点击重试", disabled: false }, +}; +const LIVE_STATES = new Set(["listening", "user-speaking", "processing", "ai-speaking"]); + +/** @type {AppState} */ +let currentState = "idle"; +/** @type {S2sWsRealtimeClient | null} */ +let client = null; +/** @type {AudioContext | null} */ +let audioContext = null; +/** @type {MediaStream | null} */ +let micStream = null; +/** @type {ChatView} */ +let chat; + +// DOM refs +const circleBtn = /** @type {HTMLButtonElement} */ ($("#main-circle")); +const captionEl = $("#circle-caption"); +const micBtn = /** @type {HTMLButtonElement} */ ($("#mic-btn")); +const stopBtn = /** @type {HTMLButtonElement} */ ($("#stop-btn")); +const micGate = $("#mic-gate"); +const mgaArc = /** @type {SVGSVGElement} */ (document.querySelector("#mic-gate-arc")); +const mgaTrack = /** @type {SVGPathElement} */ (document.querySelector("#mga-track")); +const mgaFill = /** @type {SVGPathElement} */ (document.querySelector("#mga-fill")); +const mgaHit = /** @type {SVGPathElement} */ (document.querySelector("#mga-hit")); +const mgaHandle = /** @type {SVGCircleElement} */ (document.querySelector("#mga-handle")); +const gateValue = /** @type {HTMLElement} */ ($("#gate-value")); +const gateMeterFill = /** @type {HTMLElement} */ ($("#gate-meter-fill")); +const queueBar = $("#queue-bar"); +const queuePosition = $("#queue-position"); +const queueLeave = /** @type {HTMLButtonElement} */ ($("#queue-leave")); +const queueFunnel = $("#queue-funnel"); +const queueFunnelMsg = $("#queue-funnel-msg"); +const queueFunnelJoin = /** @type {HTMLButtonElement} */ ($("#queue-funnel-join")); +const queueFunnelLeave = /** @type {HTMLButtonElement} */ ($("#queue-funnel-leave")); + +let muted = false; +let queuedTicketId = ""; + +// Settings modal refs +const settingsBtn = $("#settings-btn"); +const settingsModal = $("#settings-modal"); +const settingsForm = settingsModal?.querySelector("form") || null; +const settingsFields = { + rtUrl: $("#rt-url"), + ttsUrl: $("#tts-url"), + ttsModel: $("#tts-model"), + ttsVoice: $("#tts-voice"), + ttsVoiceRef: $("#tts-voice-ref"), + ttsRefText: $("#tts-ref-text"), + asrUrl: $("#asr-url"), + asrModel: $("#asr-model"), + asrLanguage: $("#asr-language"), + llmUrl: $("#llm-url"), + llmModel: $("#llm-model"), + llmKey: $("#llm-key"), + instructions: $("#instructions"), + noiseGate: $("#noise-gate"), +}; + +// ── Radial gate arc (around the mic button) ───────────────────────────── +// A ~200° arc centred on the left so the wide gap faces the orb (right). +const ARC_R = 40; +const ARC_SPAN_DEG = 200; +const ARC_START_DEG = 180 - ARC_SPAN_DEG / 2; + +function dbToFraction(db) { + const clamped = Math.min(GATE_MAX_DB, Math.max(GATE_OFF_DB, db)); + return (clamped - GATE_OFF_DB) / (GATE_MAX_DB - GATE_OFF_DB); +} + +function fractionToDb(f) { + const clamped = Math.min(1, Math.max(0, f)); + return Math.round(GATE_OFF_DB + clamped * (GATE_MAX_DB - GATE_OFF_DB)); +} + +function arcPoint(f, r = ARC_R) { + const deg = ARC_START_DEG + f * ARC_SPAN_DEG; + const rad = (deg * Math.PI) / 180; + return { x: 50 + r * Math.cos(rad), y: 50 + r * Math.sin(rad) }; +} + +function fullArcD() { + const a = arcPoint(0); + const b = arcPoint(1); + const largeArc = ARC_SPAN_DEG > 180 ? 1 : 0; + return `M ${a.x} ${a.y} A ${ARC_R} ${ARC_R} 0 ${largeArc} 1 ${b.x} ${b.y}`; +} + +function initGateArc() { + const d = fullArcD(); + mgaTrack.setAttribute("d", d); + mgaFill.setAttribute("d", d); + mgaHit.setAttribute("d", d); + mgaFill.setAttribute("pathLength", "100"); + mgaFill.style.strokeDasharray = "100 100"; + mgaFill.style.strokeDashoffset = "100"; + renderGateHandle(); +} + +function renderGateHandle() { + const off = Number(settings.noiseGate) <= GATE_OFF_DB; + const p = arcPoint(dbToFraction(Number(settings.noiseGate))); + mgaHandle.setAttribute("cx", String(p.x)); + mgaHandle.setAttribute("cy", String(p.y)); + micGate.classList.toggle("gate-off", off); +} + +function paintInputLevel(rms) { + const db = rms > 0 ? 20 * Math.log10(rms) : GATE_OFF_DB; + const f = dbToFraction(db); + mgaFill.style.strokeDashoffset = String(100 * (1 - f)); + if (settingsModal && settingsModal.open) gateMeterFill.style.width = `${f * 100}%`; + const enabled = Number(settings.noiseGate) > GATE_OFF_DB; + micGate.classList.toggle("gate-open", enabled && f >= dbToFraction(Number(settings.noiseGate))); +} + +function setGateThreshold(db) { + settings.noiseGate = String(Math.min(GATE_MAX_DB, Math.max(GATE_OFF_DB, Math.round(db)))); + const off = Number(settings.noiseGate) <= GATE_OFF_DB; + settingsFields.noiseGate.value = settings.noiseGate; + gateValue.textContent = off ? "Off" : `${settings.noiseGate} dB`; + renderGateHandle(); + localStorage.setItem(STORAGE.noiseGate, settings.noiseGate); + if (client && LIVE_STATES.has(currentState)) { + const thr = Number(settings.noiseGate); + client.setNoiseGate({ enabled: thr > GATE_OFF_DB, thresholdDb: thr }); + } +} + +function syncGateUi() { + settingsFields.noiseGate.value = settings.noiseGate; + const off = Number(settings.noiseGate) <= GATE_OFF_DB; + gateValue.textContent = off ? "Off" : `${settings.noiseGate} dB`; + renderGateHandle(); +} + +// Drag on the arc band to set the threshold +let gateDragging = false; +function gatePointerToDb(e) { + const rect = mgaArc.getBoundingClientRect(); + const cx = rect.left + rect.width / 2; + const cy = rect.top + rect.height / 2; + let deg = (Math.atan2(e.clientY - cy, e.clientX - cx) * 180) / Math.PI; + if (deg < 0) deg += 360; + const f = (deg - ARC_START_DEG) / ARC_SPAN_DEG; + return fractionToDb(f); +} +mgaHit.addEventListener("pointerdown", (e) => { + gateDragging = true; + mgaHit.setPointerCapture(e.pointerId); + setGateThreshold(gatePointerToDb(e)); +}); +mgaHit.addEventListener("pointermove", (e) => { + if (gateDragging) setGateThreshold(gatePointerToDb(e)); +}); +const endGateDrag = (e) => { + if (!gateDragging) return; + gateDragging = false; + try { mgaHit.releasePointerCapture(e.pointerId); } catch {} +}; +mgaHit.addEventListener("pointerup", endGateDrag); +mgaHit.addEventListener("pointercancel", endGateDrag); + +// Settings noise-gate slider also updates the arc handle live +settingsFields.noiseGate?.addEventListener("input", () => { + setGateThreshold(Number(settingsFields.noiseGate.value)); +}); + +// ── State management ─────────────────────────────────────────────────── +function setState(next) { + currentState = next; + const view = STATE_VIEWS[next]; + circleBtn.disabled = view.disabled; + circleBtn.className = `circle ${STATE_CLASS[next]}`; + if (next === "error") setCaption(view.caption, "error"); + else setCaption(view.caption, ""); + // Live indicator: side buttons appear + gate arc lights up + const wrap = circleBtn.closest(".orb-wrap"); + if (wrap) { + if (LIVE_STATES.has(next)) wrap.classList.add("live"); + else wrap.classList.remove("live"); + } + // Show/hide queue UI + queueBar.hidden = next !== "queued"; + queueFunnel.hidden = next !== "your-turn"; +} + +function setCaption(text, kind) { + const trimmed = text.trim(); + captionEl.textContent = trimmed; + captionEl.className = `circle-caption${kind ? ` ${kind}` : ""}${trimmed ? "" : " empty"}`; +} + +// ── Audio ────────────────────────────────────────────────────────────── +const MIC_CONSTRAINTS = { audio: { echoCancellation: true, noiseSuppression: true, autoGainControl: true } }; + +function createResumedAudioContext() { + try { + const Ctx = window.AudioContext || /** @type {any} */ (window).webkitAudioContext; + const ctx = new Ctx({ latencyHint: "interactive" }); + if (ctx.state === "suspended") void ctx.resume().catch(() => {}); + return /** @type {AudioContext} */ (ctx); + } catch (err) { + console.warn("[main] AudioContext init failed:", err); + return null; + } +} + +async function primeMicPermission() { + try { + const s = await navigator.mediaDevices.getUserMedia(MIC_CONSTRAINTS); + for (const track of s.getTracks()) track.stop(); + } catch (err) { + throw new Error(`Microphone access denied${err instanceof Error ? `: ${err.message}` : ""}`); + } +} + +/** @returns {Promise} */ +async function acquireMicStream() { + micStream = await navigator.mediaDevices.getUserMedia(MIC_CONSTRAINTS); + return micStream; +} + +// ── Client lifecycle ─────────────────────────────────────────────────── +function onClientStatus(status) { + switch (status) { + case "idle": setState("idle"); break; + case "creating-session": setState("connecting"); break; + case "queued": setState("queued"); break; + case "your-turn": setState("your-turn"); break; + case "connecting": setState("connecting"); break; + case "connected": setState("listening"); break; + case "user-speaking": setState("user-speaking"); break; + case "processing": setState("processing"); break; + case "ai-speaking": setState("ai-speaking"); break; + case "closed": setState("idle"); break; + case "error": setState("error"); break; + } +} + +function onFatalError(error) { + console.error("[main] fatal:", error); + setState("error"); + const msg = error instanceof Error ? error.message : String(error); + setCaption(truncateError(msg), "error"); +} + +function onQueuePosition(position) { + setState("queued"); + queuePosition.textContent = `排队位置: ${position}`; +} + +async function doStart() { + if (currentState === "idle" || currentState === "error") { + chat.clear(); + setState("connecting"); + setCaption("请求麦克风权限…", "muted"); + if (!audioContext || audioContext.state === "closed") audioContext = createResumedAudioContext(); + try { await primeMicPermission(); } catch (err) { + if (audioContext) void audioContext.close().catch(() => {}); + audioContext = null; + throw err; + } + const gateThreshold = Number(settings.noiseGate) || GATE_DEFAULT_DB; + const c = new S2sWsRealtimeClient({ + directUrl: settings.rtUrl, + instructions: settings.instructions, + voice: settings.ttsVoice, + appConfig: appConfigFromSettings(settings), + acquireMic: acquireMicStream, + noiseGate: { enabled: gateThreshold > GATE_OFF_DB, thresholdDb: gateThreshold }, + ...(audioContext ? { audioContext } : {}), + }); + client = c; + c.addEventListener("queue", (e) => { + const { position, queueId } = /** @type {CustomEvent} */ (e).detail; + if (queueId) queuedTicketId = queueId; + onQueuePosition(position); + }); + c.addEventListener("ready-to-join", () => { + setState("your-turn"); + queueFunnelMsg.textContent = "已就绪！点击加入开始对话。"; + }); + c.addEventListener("status", (e) => onClientStatus(/** @type {CustomEvent} */ (e).detail.status)); + c.addEventListener("transcript", (e) => chat.onTranscript(/** @type {CustomEvent} */ (e).detail)); + c.addEventListener("response-finished", (e) => chat.onResponseFinished(/** @type {CustomEvent} */ (e).detail)); + c.addEventListener("error", (e) => onFatalError(/** @type {CustomEvent} */ (e).detail.error)); + c.addEventListener("server-error", (e) => { + console.warn("[main] server error (non-fatal):", /** @type {CustomEvent} */ (e).detail.error); + }); + c.addEventListener("input-level", (e) => { + paintInputLevel(/** @type {CustomEvent} */ (e).detail.rms); + }); + try { await c.connect(); chat.reset(); } catch (err) { + if (audioContext) void audioContext.close().catch(() => {}); + audioContext = null; + throw err; + } + } +} + +async function doStop() { + const activeClient = client; + client = null; + if (activeClient) { + try { + await activeClient.close(); + } catch (err) { + console.warn("[main] error closing client:", err); + } + } else if (audioContext && audioContext.state !== "closed") { + try { + await audioContext.close(); + } catch { + // ignored + } + } + audioContext = null; + if (micStream) { + for (const track of micStream.getTracks()) track.stop(); + micStream = null; + } + paintInputLevel(0); + muted = false; + micBtn.classList.remove("muted"); + queueBar.hidden = true; + queueFunnel.hidden = true; + queuedTicketId = ""; + setState("idle"); +} + +// ── Events ───────────────────────────────────────────────────────────── +circleBtn.addEventListener("click", async () => { + try { + if (currentState === "idle" || currentState === "error") { + await doStart(); + } + } catch (err) { + onFatalError(err); + } +}); + +stopBtn.addEventListener("click", () => { void doStop(); }); + +micBtn.addEventListener("click", () => { + muted = !muted; + micBtn.classList.toggle("muted", muted); + micBtn.setAttribute("aria-label", muted ? "Unmute" : "Mute"); + client?.setMuted(muted); +}); + +queueLeave.addEventListener("click", () => { void doStop(); }); +queueFunnelLeave?.addEventListener("click", () => { void doStop(); }); +queueFunnelJoin?.addEventListener("click", () => { + queueFunnel.hidden = true; + client?.join(); +}); + +// ── Settings modal ───────────────────────────────────────────────────── +function fillSettingsForm() { + for (const [k, el] of Object.entries(settingsFields)) { + if (el) el.value = settings[k] ?? ""; + } +} + +function readSettingsForm() { + const s = { ...settings }; + for (const [k, el] of Object.entries(settingsFields)) { + if (el) s[k] = el.value; + } + return s; +} + +settingsBtn?.addEventListener("click", () => { + fillSettingsForm(); + syncGateUi(); + settingsModal?.showModal(); +}); + +settingsForm?.addEventListener("submit", (e) => { + // The dialog's submit button (value="save") closes the dialog; we just read + // the form on close. Nothing to do here on submit itself. +}); + +settingsModal?.addEventListener("close", () => { + const rv = settingsModal.returnValue; + if (rv !== "save") return; + const prevRtUrl = settings.rtUrl; + const next = readSettingsForm(); + settings = next; + saveSettings(next); + syncGateUi(); + // Live-apply TTS/ASR/LLM params to an active session; rtUrl needs a reconnect. + if (client) { + if (next.rtUrl !== prevRtUrl) { + // Realtime backend URL changed — must reconnect. + void (async () => { + await doStop(); + setTimeout(() => { void doStart(); }, 150); + })(); + } else { + client.updateAppConfig(appConfigFromSettings(next)); + const thr = Number(settings.noiseGate); + client.setNoiseGate({ enabled: thr > GATE_OFF_DB, thresholdDb: thr }); + } + } +}); + +// Cleanup on page unload +window.addEventListener("beforeunload", () => { void doStop(); }); + +// ── Init ─────────────────────────────────────────────────────────────── +chat = new ChatView(); +initGateArc(); +syncGateUi(); +setState("idle"); +chat.renderEmptyState(); +// Pull env defaults (TTS/ASR/LLM URLs, voice_ref, ...) from the backend so the +// Settings panel pre-fills with what run_realtime.bat configured. Non-blocking; +// if a session is already starting it still works (env defaults are also the +// backend's fallback for empty browser fields). +void refreshEnvDefaults(); +// Strip booting class after first paint +requestAnimationFrame(() => requestAnimationFrame(() => document.body.classList.remove("booting"))); diff --git a/webui/realtime_static/style.css b/webui/realtime_static/style.css new file mode 100644 index 00000000..3af02d96 --- /dev/null +++ b/webui/realtime_static/style.css @@ -0,0 +1,2674 @@ +:root { + --bg: #0a0b10; + --bg-elev: #13151c; + --bg-elev-2: #1b1e29; + --border: rgba(255, 255, 255, 0.08); + --border-strong: rgba(255, 255, 255, 0.16); + --text: #f5f6fa; + --text-dim: rgba(245, 246, 250, 0.65); + --text-faint: rgba(245, 246, 250, 0.42); + + --accent: #8b7dff; + --accent-2: #22d3ee; + --listening: #22d3ee; + --speaking: #8b7dff; + --processing: #f59e0b; + --error: #ff6a75; + --success: #34d399; + + /* Mono is the "machine voice": reserved for system text the app emits — + * the orb's status caption, tool calls, the transport tag. Body/UI stays + * Inter. */ + --font-mono: "Geist Mono", ui-monospace, SFMono-Regular, "SF Mono", Menlo, monospace; + + /* Thesis: color belongs to the voice. The chrome is monochrome; saturated + * hue appears only on the orb and on these tiny role echoes, which mirror + * the orb's own state colors (you listening = cyan, assistant = violet, + * tool = amber) so the transcript reads in the same color language. */ + --voice-user: var(--accent-2); + --voice-assistant: var(--accent); + --voice-tool: var(--processing); + + /* Smoothed mic RMS in [0..1], updated every frame from JS while a session + * is active. Used by audio-reactive circle states. */ + --audio-level: 0; + /* Five log-spaced frequency bands extracted from the mic analyser; + * drive each bar's height independently for a real "spectrum" feel. */ + --bar0: 0; + --bar1: 0; + --bar2: 0; + --bar3: 0; + --bar4: 0; + + --radius-sm: 8px; + --radius-md: 14px; + --radius-lg: 22px; + + --shadow-soft: 0 10px 40px rgba(0, 0, 0, 0.35); + + color-scheme: dark; +} + +* { + box-sizing: border-box; +} + +html, +body { + margin: 0; + padding: 0; + height: 100%; +} + +body { + font-family: "Inter", system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; + background: radial-gradient(ellipse at 50% 20%, #1a1c28 0%, var(--bg) 60%); + color: var(--text); + min-height: 100vh; + overflow-x: hidden; + -webkit-font-smoothing: antialiased; +} + +button { + font-family: inherit; +} + +a { + color: var(--text); + text-decoration: none; + border-bottom: 1px solid var(--border-strong); +} +a:hover { + border-bottom-color: var(--text); +} + +#app { + display: grid; + grid-template-rows: auto 1fr auto; + min-height: 100vh; +} + +.hidden { + display: none !important; +} + +/* ─── Topbar ──────────────────────────────────────────────────────────── */ + +/* Topbar is just a floating row of controls over the stage - no + * separator line, no background. Same story for the footer. Keeps the + * app feeling like one continuous canvas. */ +.topbar { + display: flex; + /* Top-align so the right control cluster sits up with the title instead of + * floating to the vertical middle of the tall identity block. */ + align-items: flex-start; + justify-content: space-between; + padding: 18px 28px; + /* Default stacking (below the conversation panel, z 200) so the panel drawer + * covers the controls when it's open. */ +} + +.brand { + display: flex; + align-items: center; + gap: 10px; + font-weight: 600; + font-size: 14px; + letter-spacing: 0.01em; + color: var(--text-dim); +} + +/* Transport tag rides the wordmark as a system label, not prose — mono, + * dimmed, the only mono in the topbar. */ +.brand-tag { + font-family: var(--font-mono); + font-weight: 500; + font-size: 11px; + letter-spacing: 0.02em; + opacity: 0.55; +} + +.brand .brand-logo { + width: 26px; + height: 26px; + object-fit: contain; + flex: none; + filter: drop-shadow(0 1px 2px rgba(0, 0, 0, 0.45)); + transition: transform 0.2s ease; +} +.brand .brand-logo:hover { + transform: translateY(-1px) rotate(-2deg); +} + +/* Narrow viewports (typically the mobile shell iframe and phone-sized + browser windows): the full product name pushes the topbar's right + cluster off-screen. Keep the logo as the brand cue and drop the + wordmark - the orb already gives enough context. */ +@media (max-width: 600px) { + /* The full identity stack is too tall for a phone topbar. Show only the + * title + (i); the popup carries the blurb, credits and pipeline. + * `.brand` prefix raises specificity so this beats the later base + * `.ident-meta { display: flex }` rule regardless of source order. */ + .brand .ident-blurb, + .brand .ident-meta { + display: none; + } + .ident-title { + font-size: 18px; + } + /* (i) moves into the right-hand control cluster on phones, leaving the + * title alone on the left. */ + .brand .about-btn { + display: none; + } + .about-btn-mobile { + display: inline-flex; + } + /* Keep phone icons at the current compact size — the desktop bump above + * shouldn't leak into the mobile topbar. */ + .topbar-right .icon-btn { + width: 36px; + height: 36px; + } + .topbar-right .icon-btn svg { + width: 18px; + height: 18px; + } + /* Keep the account control compact on phones: avatar-only chip, shorter pill. */ + .account-chip { + height: 36px; + padding: 0 6px; + } + .account-handle { + display: none; + } + .signin-pill { + height: 36px; + padding: 0 12px; + } +} + +.topbar-right { + display: flex; + align-items: center; + gap: 10px; +} + +/* The HF user pill: compact avatar + handle. Rendered as a flex row so + * the avatar stays aligned with the text baseline even when the text + * wraps on narrow viewports. */ +.hf-user { + display: inline-flex; + align-items: center; + gap: 8px; + font-size: 13px; + color: var(--text-dim); + padding: 4px 10px 4px 4px; + border-radius: 999px; + background: var(--bg-elev); + border: 1px solid var(--border); + line-height: 1; +} + +.hf-avatar { + width: 24px; + height: 24px; + border-radius: 50%; + object-fit: cover; + background: color-mix(in srgb, var(--accent) 25%, var(--bg-elev-2)); + /* Hidden until an actual URL loads (see `setHfAvatar` in main.ts). + * Keeps the initial login flash from showing a broken image icon. */ + opacity: 0; + transition: opacity 0.25s ease; + flex: none; +} +.hf-avatar.loaded { + opacity: 1; +} + +.hf-user-name { + white-space: nowrap; +} + +/* ─── Transport pill ────────────────────────────────────────────── + * Surface the actual network path WebRTC picked for the robot peer + * connection (LAN, direct-through-NAT, or TURN-relayed). Lets the + * user spot at a glance when audio is going through the internet + * instead of staying on-prem. + */ +.transport-pill { + display: inline-flex; + align-items: center; + gap: 6px; + font-size: 12px; + font-weight: 500; + letter-spacing: 0.02em; + padding: 5px 10px; + border-radius: 999px; + background: var(--bg-elev); + border: 1px solid var(--border); + color: var(--text-dim); + user-select: none; + transition: background 0.2s ease, border-color 0.2s ease, color 0.2s ease; +} + +.transport-pill .transport-dot { + width: 7px; + height: 7px; + border-radius: 50%; + background: currentColor; + box-shadow: 0 0 0 3px color-mix(in srgb, currentColor 25%, transparent); + flex: none; +} + +/* Bitrate readout sits after the kind label. Dimmer + monospace so the + * kind (LAN / Direct / Relayed) stays the primary info and the numbers + * don't wiggle the layout as digits change. */ +.transport-pill .transport-bitrate { + font-family: var(--font-mono); + font-size: 11px; + font-weight: 500; + color: color-mix(in srgb, currentColor 75%, var(--text-dim)); + opacity: 0.85; + padding-left: 6px; + border-left: 1px solid color-mix(in srgb, currentColor 25%, transparent); +} +.transport-pill .transport-bitrate:empty { + display: none; +} + +.transport-pill.transport-checking { + color: var(--text-dim); +} +.transport-pill.transport-checking .transport-dot { + animation: transport-blink 1.2s ease-in-out infinite; +} + +.transport-pill.transport-lan { + color: #4ade80; + border-color: color-mix(in srgb, #4ade80 35%, var(--border)); + background: color-mix(in srgb, #4ade80 10%, var(--bg-elev)); +} + +.transport-pill.transport-direct { + color: #60a5fa; + border-color: color-mix(in srgb, #60a5fa 35%, var(--border)); + background: color-mix(in srgb, #60a5fa 10%, var(--bg-elev)); +} + +.transport-pill.transport-relay { + color: #fbbf24; + border-color: color-mix(in srgb, #fbbf24 35%, var(--border)); + background: color-mix(in srgb, #fbbf24 10%, var(--bg-elev)); +} + +@keyframes transport-blink { + 0%, 100% { opacity: 1; } + 50% { opacity: 0.35; } +} + +.icon-btn { + background: var(--bg-elev); + border: 1px solid var(--border); + color: var(--text-dim); + width: 36px; + height: 36px; + border-radius: var(--radius-sm); + display: inline-flex; + align-items: center; + justify-content: center; + cursor: pointer; + touch-action: manipulation; + transition: background 0.15s, color 0.15s, border-color 0.15s; +} +.icon-btn:hover { + background: var(--bg-elev-2); + color: var(--text); + border-color: var(--border-strong); +} +/* Topbar control cluster reads a touch bigger on desktop. Phones keep the + * compact 36px (reset in the mobile media query). */ +.topbar-right .icon-btn { + width: 40px; + height: 40px; +} +.topbar-right .icon-btn svg { + width: 20px; + height: 20px; +} + +/* ─── Account (HF login chip + sign-in pill + popover) ─────────────────────── */ +.account { + position: relative; + display: inline-flex; + align-items: center; +} +/* Signed-out: a compact pill that reads as the primary affordance. */ +.signin-pill { + display: inline-flex; + align-items: center; + gap: 7px; + height: 40px; + padding: 0 14px; + border-radius: var(--radius-sm); + border: 1px solid var(--border-strong); + background: var(--bg-elev); + color: var(--text); + font-size: 13px; + font-weight: 600; + text-decoration: none; + transition: background 0.15s, border-color 0.15s; +} +.signin-pill svg { + width: 16px; + height: 16px; + flex: none; +} +.signin-pill:hover { + background: var(--bg-elev-2); + border-color: var(--text); +} +/* Narrow viewports: collapse the pill to an icon-only square. */ +@media (max-width: 800px) { + .signin-pill { + gap: 0; + width: 40px; + padding: 0; + justify-content: center; + } + .signin-pill span { + display: none; + } +} +/* Signed-in: avatar + handle chip. */ +.account-chip { + display: inline-flex; + align-items: center; + gap: 8px; + height: 40px; + padding: 0 10px 0 6px; + border-radius: var(--radius-sm); + border: 1px solid var(--border); + background: var(--bg-elev); + color: var(--text-dim); + cursor: pointer; + transition: background 0.15s, color 0.15s, border-color 0.15s; +} +.account-chip:hover { + background: var(--bg-elev-2); + color: var(--text); + border-color: var(--border-strong); +} +.account-avatar { + width: 26px; + height: 26px; + border-radius: 50%; + object-fit: cover; + flex: none; +} +.account-avatar-fallback { + display: inline-flex; + align-items: center; + justify-content: center; + background: var(--bg-elev-2); + color: var(--text); + font-size: 12px; + font-weight: 700; +} +.account-handle { + font-size: 13px; + font-weight: 600; + max-width: 12ch; + overflow: hidden; + text-overflow: ellipsis; + white-space: nowrap; +} +.account-pro { + font-size: 10px; + font-weight: 700; + letter-spacing: 0.04em; + padding: 2px 5px; + border-radius: 5px; + background: var(--text); + color: var(--bg); +} +/* Org "Team" badge: same pill as PRO, accent-coloured so it reads as + * unlimited without claiming a paid PRO subscription. */ +.account-team { + background: var(--accent); + color: var(--bg); +} +.account-pop { + position: absolute; + top: calc(100% + 8px); + right: 0; + min-width: 200px; + padding: 6px; + border-radius: var(--radius-md); + border: 1px solid var(--border-strong); + background: var(--bg-elev); + box-shadow: var(--shadow-soft); + z-index: 50; +} +.account-pop[hidden] { + display: none; +} +.account-pop-row { + padding: 8px 10px; +} +.account-pop-name { + font-weight: 600; + font-size: 13px; +} +.account-pop-meta { + display: flex; + align-items: center; + justify-content: space-between; + gap: 10px; + padding-top: 0; + font-size: 12px; + color: var(--text-dim); +} +.account-tier { + font-weight: 600; + color: var(--text); +} +.account-pop-link { + display: block; + padding: 8px 10px; + border-radius: var(--radius-sm); + color: var(--text-dim); + font-size: 13px; + text-decoration: none; + transition: background 0.15s, color 0.15s; +} +.account-pop-link:hover { + background: var(--bg-elev-2); + color: var(--text); +} +.account-signout { + border-top: 1px solid var(--border); + margin-top: 4px; + padding-top: 10px; + border-radius: 0 0 var(--radius-sm) var(--radius-sm); +} + +/* ─── Daily-limit modal ────────────────────────────────────────────────────── */ +.limit-modal { + width: min(400px, 92vw); +} +.limit-card { + position: relative; + align-items: center; + text-align: center; + gap: 14px; + padding: 34px 28px 26px; +} +.limit-close { + position: absolute; + top: 12px; + right: 12px; +} +/* HF smiling face (brand yellow) on a neutral badge — friendly, not a stop sign. + * The logo is the single pop of colour, so the badge itself stays quiet. */ +.limit-badge { + width: 66px; + height: 66px; + border-radius: 50%; + display: grid; + place-items: center; + margin: 2px auto 2px; + background: var(--bg-elev-2); + border: 1px solid var(--border-strong); + box-shadow: 0 0 0 6px rgba(255, 210, 30, 0.06); +} +.limit-badge .hf-logo { + width: 46px; + height: auto; +} +.limit-title { + margin: 0; + font-size: 20px; + font-weight: 700; + letter-spacing: 0; +} +.limit-msg { + color: var(--text-dim); + font-size: 14px; + line-height: 1.55; + margin: 0; + max-width: 30ch; +} +.limit-cta { + display: inline-flex; + align-items: center; + justify-content: center; + gap: 8px; + margin-top: 4px; +} +.limit-cta .hf-logo { + width: 20px; + height: auto; + flex: none; +} +.limit-note { + margin: 0; + font-size: 12px; + color: var(--text-faint); +} +#limit-cta[hidden] { + display: none; +} + +/* ─── Stage ───────────────────────────────────────────────────────────── */ + +.stage { + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + padding: 24px 24px 32px; + gap: 20px; +} + +/* ─── Central circle ──────────────────────────────────────────────────── */ + +/* Wraps the orb and its two side controls so they stay aligned on one row. */ +.orb-wrap { + position: relative; + display: flex; + align-items: center; + justify-content: center; + gap: clamp(18px, 3vw, 32px); +} + +.circle { + position: relative; + width: clamp(220px, 38vw, 320px); + aspect-ratio: 1 / 1; + border-radius: 50%; + border: none; + background: transparent; + padding: 0; + cursor: pointer; + outline: none; + display: grid; + place-items: center; + color: var(--glow, var(--accent)); + transition: transform 0.18s ease, filter 0.18s ease; + -webkit-tap-highlight-color: transparent; + /* Treat taps as immediate clicks (no 300ms delay / double-tap-zoom). */ + touch-action: manipulation; +} +.circle:hover { + filter: brightness(1.08); +} +.circle:active { + transform: scale(0.97); + filter: brightness(0.92); +} +.circle:focus-visible .circle-core { + outline: 2px solid var(--glow, var(--accent)); + outline-offset: 6px; +} +.circle[disabled] { + cursor: default; + opacity: 0.75; +} + +.circle-glow { + position: absolute; + inset: 0; + border-radius: 50%; + background: radial-gradient(circle at center, var(--glow, var(--accent)) 0%, transparent 65%); + filter: blur(28px); + opacity: 0.5; + transform: scale(1); + transition: opacity 0.25s, background 0.25s, transform 1.4s ease-in-out; + pointer-events: none; +} + +/* Two nested circular rings: the inner tracks the core edge, the outer + * expands / fades to convey "audio radiating out" during speaking. */ +.circle-ring, +.circle-ring-outer { + position: absolute; + top: 50%; + left: 50%; + border-radius: 50%; + transform: translate(-50%, -50%); + pointer-events: none; + transition: opacity 0.4s ease, border-color 0.4s ease, transform 0.3s ease; +} +.circle-ring { + width: 82%; + height: 82%; + border: 1.5px solid color-mix(in srgb, var(--glow, var(--accent)) 35%, transparent); + opacity: 0.35; +} +.circle-ring-outer { + width: 94%; + height: 94%; + border: 1px solid color-mix(in srgb, var(--glow, var(--accent)) 22%, transparent); + opacity: 0; +} + +.circle-core { + position: relative; + width: 72%; + height: 72%; + border-radius: 50%; + background: radial-gradient( + circle at 35% 28%, + color-mix(in srgb, var(--glow, var(--accent)) 28%, transparent), + color-mix(in srgb, var(--glow, var(--accent)) 10%, transparent) 55%, + color-mix(in srgb, var(--glow, var(--accent)) 5%, transparent) + ); + border: 2px solid color-mix(in srgb, var(--glow, var(--accent)) 40%, transparent); + display: grid; + place-items: center; + box-shadow: + 0 0 32px color-mix(in srgb, var(--glow, var(--accent)) 22%, transparent), + inset 0 0 28px color-mix(in srgb, var(--glow, var(--accent)) 18%, transparent); + transition: background 0.4s ease, border-color 0.4s ease, box-shadow 0.4s ease, transform 0.4s ease; +} + +/* Indicator slot: a single SVG / spinner / bar group is visible at a time, + * driven by the state class on `.circle`. */ +.circle-indicator { + position: relative; + width: 44%; + height: 44%; + display: grid; + place-items: center; + color: var(--glow, var(--accent)); +} +.circle-indicator > .ind { + grid-area: 1 / 1; + opacity: 0; + transform: scale(0.85); + transition: opacity 0.25s ease, transform 0.25s ease; + pointer-events: none; +} +.circle-indicator > svg.ind { + width: 60%; + height: 60%; +} + +/* Spinner: a rotating ring gap, CSS-only. + * + * Note: the base `.circle-indicator > .ind` rule forces `transform: + * scale(.85)` / `scale(1)` on every indicator to drive the show/hide + * transition. If we only rotate here, the browser has to interpolate + * between `scale(1)` and `rotate(360deg)` (two different transform + * functions), which produces a broken, barely-moving animation. So we + * include the scale explicitly in the keyframes and bump specificity + * with `!important` so the spinner always wins over the state rule. */ +.ind-spinner { + width: 48%; + height: 48%; + border: 3px solid currentColor; + border-right-color: transparent; + border-radius: 50%; + opacity: 0; + animation: ind-spin 0.9s linear infinite; +} + +/* Thinking dots: 3 soft pulsing dots while the model is composing a + * response. Apple-style cadence: each dot scales up and brightens in + * turn, staggered by ~160 ms. Per-dot animation is on the child, so + * the parent's scale(.85 → 1) show/hide transform composes cleanly. */ +.ind-thinking { + display: flex; + align-items: center; + justify-content: center; + gap: 8px; + width: 60%; + height: 60%; +} +.ind-thinking .dot { + width: 10px; + height: 10px; + border-radius: 50%; + background: currentColor; + opacity: 0.3; + animation: thinking-dot 1.25s ease-in-out infinite; +} +.ind-thinking .dot:nth-child(1) { animation-delay: 0s; } +.ind-thinking .dot:nth-child(2) { animation-delay: 0.16s; } +.ind-thinking .dot:nth-child(3) { animation-delay: 0.32s; } + +/* Bars: 5 vertical pills driven by --bar0..--bar4 CSS vars. */ +.ind-bars { + display: flex; + align-items: center; + gap: 5px; + height: 42%; +} +.ind-bars .bar { + width: 4px; + min-height: 4px; + border-radius: 3px; + background: currentColor; + opacity: 0.7; + --h: var(--bar0, 0); + height: calc(4px + var(--h) * 36px); + transition: height 0.08s ease-out, opacity 0.08s ease-out; +} +.ind-bars .bar:nth-child(1) { --h: var(--bar0); } +.ind-bars .bar:nth-child(2) { --h: var(--bar1); } +.ind-bars .bar:nth-child(3) { --h: var(--bar2); } +.ind-bars .bar:nth-child(4) { --h: var(--bar3); } +.ind-bars .bar:nth-child(5) { --h: var(--bar4); } +.ind-bars .bar { + opacity: calc(0.55 + 0.45 * var(--h)); +} + +/* Active indicator per state. + * + * Note: `ai-speaking` deliberately has NO indicator here. The orb + * itself becomes the indicator by pulsing on Reachy's voice (see the + * `--ai-audio-level` rules further down), which is a lot clearer and + * less confusing than reusing the mic-bars (which viewers would read + * as "you are speaking"). */ +.state-signed-out .ind-connect, +.state-authenticated .ind-mic, +.state-ready .ind-mic, +.state-connecting .ind-spinner, +.state-connected .ind-spinner, +.state-auto-selecting .ind-spinner, +.state-starting .ind-spinner, +.state-queued .ind-spinner, +.state-processing .ind-thinking, +.state-listening .ind-bars, +.state-user-speaking .ind-bars, +.state-ai-speaking .ind-voice, +.state-error .ind-error { + opacity: 1; + transform: scale(1); +} + +/* AI speaking indicator: speaker + two sound waves. + * + * Each wave pulses outward (opacity + stroke grow) with a quarter- + * beat offset so it reads as sound radiating out. Kept as a pure + * CSS animation so the icon is always visually alive even between + * syllables when --ai-audio-level momentarily dips. */ +.ind-voice .wave { + transform-origin: 50% 50%; + animation: voice-wave 1.35s ease-out infinite; +} +.ind-voice .wave-1 { animation-delay: 0s; } +.ind-voice .wave-2 { animation-delay: 0.35s; } + +/* Idle indicators: a chain-link "connect" glyph for the signed-out + * step (invites the user to authenticate with HF) and a microphone + * once a session is ready. Both picked up by the generic + * `.circle-indicator > svg.ind` sizing rule (60% × 60% of the slot) + * and rely on per-state opacity transitions for show / hide. */ +.ind-connect, +.ind-mic { + color: color-mix(in srgb, var(--glow, var(--accent)) 85%, white); +} + +/* ─── Caption below the circle ────────────────────────────────────────── */ + +/* The caption under the orb is meant to whisper, not shout: micro-label + * vibe, uppercase, letter-spaced, muted. Only appears for actionable / + * transitional states (see STATE_VIEWS). During a live conversation the + * orb alone carries the state so we collapse this row entirely. */ +.circle-caption { + margin: 0; + font-family: var(--font-mono); + font-size: 11px; + font-weight: 500; + letter-spacing: 0.14em; + text-transform: uppercase; + color: var(--text-faint); + min-height: 1.2em; + text-align: center; + opacity: 0.75; + transition: opacity 0.25s ease, color 0.25s ease, transform 0.25s ease, + min-height 0.25s ease; +} +.circle-caption.empty { + opacity: 0; + min-height: 0; + transform: translateY(-4px); + pointer-events: none; +} +.circle-caption.muted { + color: var(--text-faint); + opacity: 0.65; +} +.circle-caption.error { + color: var(--error); + opacity: 1; + letter-spacing: 0.08em; +} + +/* Warm, human line under the mono caption — sentence case, only while queued. + * The caption keeps the terse position; this reassures. */ +.circle-subcaption { + margin: 8px 0 0; + max-width: 32ch; + font-size: 13.5px; + line-height: 1.5; + color: var(--text-dim); + text-align: center; + text-wrap: balance; + transition: opacity 0.25s ease; +} +.circle-subcaption[hidden] { display: none; } + +/* Queue actions sit under the caption: "Join now" (primary, only when it's your + * turn) stacked above the quiet "Leave queue" escape hatch. */ +.queue-actions { + margin-top: 16px; + display: flex; + flex-direction: column; + align-items: center; + gap: 10px; +} +.queue-actions[hidden] { display: none; } + +/* "Join now": the one call to action in the queue flow, so it reads as inviting + * (filled accent) while everything around it stays quiet. */ +.join-queue-btn { + padding: 10px 26px; + font-family: var(--font-mono); + font-size: 12px; + font-weight: 600; + letter-spacing: 0.1em; + text-transform: uppercase; + color: #0b0b10; + background: var(--accent); + border: none; + border-radius: 999px; + cursor: pointer; + font-variant-numeric: tabular-nums; + transition: transform 0.12s ease, filter 0.2s ease; +} +.join-queue-btn:hover { filter: brightness(1.08); } +.join-queue-btn:active { transform: scale(0.97); } +.join-queue-btn:focus-visible { + outline: 2px solid var(--accent); + outline-offset: 3px; +} +.join-queue-btn[hidden] { display: none; } + +/* "Leave queue": a quiet outlined pill, understated so it reads as an escape + * hatch, not a CTA. */ +.leave-queue-btn { + padding: 7px 16px; + font-family: var(--font-mono); + font-size: 11px; + font-weight: 500; + letter-spacing: 0.12em; + text-transform: uppercase; + color: var(--text-faint); + background: transparent; + border: 1px solid color-mix(in srgb, var(--text-faint) 35%, transparent); + border-radius: 999px; + cursor: pointer; + transition: color 0.2s ease, border-color 0.2s ease, background 0.2s ease; +} +.leave-queue-btn:hover { + color: var(--text); + border-color: color-mix(in srgb, var(--text-faint) 60%, transparent); + background: color-mix(in srgb, var(--text-faint) 8%, transparent); +} +.leave-queue-btn:focus-visible { + outline: 2px solid var(--accent); + outline-offset: 2px; +} +.leave-queue-btn[hidden] { display: none; } + +/* ─── Tool-call toaster ───────────────────────────────────────────────── */ + +/* A small, non-interactive pill that appears below the circle when the + * model invokes a tool (move_head, play_move). Sits just under the + * state caption, collapses to zero height when no toast is active. */ +.tool-toast { + display: inline-flex; + align-items: center; + gap: 8px; + margin-top: 10px; + padding: 6px 12px; + border-radius: 999px; + border: 1px solid var(--border-strong); + background: color-mix(in srgb, var(--bg-elev-2) 78%, transparent); + color: var(--text-dim); + font-size: 12px; + font-weight: 500; + letter-spacing: 0.01em; + line-height: 1; + white-space: nowrap; + max-width: 80vw; + overflow: hidden; + text-overflow: ellipsis; + + opacity: 0; + transform: translateY(-4px) scale(0.96); + pointer-events: none; + transition: opacity 0.22s ease, transform 0.22s ease; +} +.tool-toast.visible { + opacity: 1; + transform: translateY(0) scale(1); +} +.tool-toast-icon { + width: 14px; + height: 14px; + flex: none; + color: color-mix(in srgb, var(--voice-tool) 80%, white); + animation: tool-toast-spin 3.2s linear infinite; + animation-play-state: paused; +} +.tool-toast.visible .tool-toast-icon { + animation-play-state: running; +} +.tool-toast-text { + display: inline-block; + overflow: hidden; + text-overflow: ellipsis; +} +@keyframes tool-toast-spin { + from { transform: rotate(0deg); } + to { transform: rotate(360deg); } +} + +/* ─── Side controls (mic / stop) ──────────────────────────────────────── */ + +/* Mic button + its radial noise-gate arc. The wrapper centres the button; the + arc SVG is an absolute overlay larger than the button, revealed with the + live session (it has no layout footprint, so the idle collapse is unaffected). */ +.mic-gate { + position: relative; + flex: none; + display: inline-flex; + align-items: center; + justify-content: center; +} +.mic-gate-arc { + position: absolute; + left: 50%; + top: 50%; + width: 80px; + height: 80px; + transform: translate(-50%, -50%); + pointer-events: none; /* only the hit-path below catches drags */ + opacity: 0; + transition: opacity 0.25s ease; +} +.orb-wrap.live .mic-gate-arc { opacity: 1; } +.mga-track { + stroke: rgba(255, 255, 255, 0.1); /* hairline; recedes until needed */ + stroke-width: 1.5; + stroke-linecap: round; +} +.mga-fill { + stroke: var(--accent-2); + stroke-width: 2; + stroke-linecap: round; + opacity: 0.85; + transition: stroke-dashoffset 0.06s linear; +} +/* Threshold setpoint: a bead riding the ring. White with a thin dark outline so + it stays legible over the moving fill; it recolors to cyan with a soft glow + the moment the live level crosses it (the gate opening). */ +.mga-handle { + fill: var(--text); + stroke: none; + transition: fill 0.2s ease, filter 0.2s ease; +} +.mic-gate.gate-open .mga-handle { + fill: var(--accent-2); + filter: drop-shadow(0 0 3px var(--accent-2)); +} +.mga-hit { + stroke: transparent; + stroke-width: 16; + pointer-events: none; /* enabled only while live (below) */ + cursor: pointer; + touch-action: none; +} +/* Only catch drags during a live call; when idle the arc is hidden and must + not steal clicks near the collapsed mic button / orb. */ +.orb-wrap.live .mga-hit { pointer-events: stroke; } + +.side-btn { + flex: none; + width: 52px; + height: 52px; + border-radius: 50%; + border: 1px solid var(--border-strong); + /* Brighter background so the buttons actually stand out against the + * deep-blue stage gradient; previous var(--bg-elev) was too close to + * the page bg to be readable. */ + background: color-mix(in srgb, var(--bg-elev-2) 80%, #2a2e3c); + color: var(--text); + display: inline-flex; + align-items: center; + justify-content: center; + cursor: pointer; + touch-action: manipulation; + box-shadow: 0 6px 16px rgba(0, 0, 0, 0.35), + inset 0 1px 0 rgba(255, 255, 255, 0.06); + /* Hidden by default: take up no space until the session is live. The + * `width: 0` collapse keeps the orb centered on the idle screen. */ + opacity: 0; + transform: scale(0.55); + width: 0; + padding: 0; + pointer-events: none; + overflow: hidden; + transition: opacity 0.25s ease, transform 0.25s ease, width 0.25s ease, + background 0.15s, color 0.15s, border-color 0.15s; +} +.side-btn:hover { + background: color-mix(in srgb, var(--bg-elev-2) 60%, #323746); + border-color: var(--text-dim); +} +.side-btn svg { + width: 22px; + height: 22px; + flex: none; +} +.side-btn .mic-off { display: none; } +.side-btn.muted { + color: #fff; + border-color: var(--error); + background: color-mix(in srgb, var(--error) 70%, #1a0e13); +} +.side-btn.muted .mic-on { display: none; } +.side-btn.muted .mic-off { display: block; } + +/* Stop button: subtle warm tint so "end" reads as destructive. */ +#stop-btn:hover { + color: #fff; + border-color: color-mix(in srgb, var(--error) 60%, var(--border-strong)); + background: color-mix(in srgb, var(--error) 25%, var(--bg-elev-2)); +} + +/* Reveal when the session is live: buttons flank the orb on a flex row. */ +.orb-wrap.live .side-btn { + opacity: 1; + transform: scale(1); + width: 52px; + pointer-events: auto; +} + +/* Disable every transition / animation during the first paint so the + * orb doesn't fade-and-scale in when the page loads. `main.ts` removes + * the class after one animation frame. */ +body.booting, +body.booting *, +body.booting *::before, +body.booting *::after { + transition: none !important; + animation-duration: 0s !important; + animation-delay: 0s !important; +} + +/* ─── Circle animation keyframes ──────────────────────────────────────── */ + +/* Slow, subtle breathing for "warm idle" states. */ +@keyframes breathe { + 0%, 100% { transform: translate(-50%, -50%) scale(1); opacity: 0.4; } + 50% { transform: translate(-50%, -50%) scale(1.06); opacity: 0.15; } +} + +/* Outer ring expanding and fading - conveys "I am producing audio". */ +@keyframes ring-out { + 0% { transform: translate(-50%, -50%) scale(1); opacity: 0.35; } + 100% { transform: translate(-50%, -50%) scale(1.18); opacity: 0; } +} + +/* Soft inner scale for the core while talking. */ +@keyframes core-breathe { + 0%, 100% { transform: scale(1); } + 50% { transform: scale(1.04); } +} + +/* Subtle glow throb used for "thinking" — dimmer than speaking. */ +@keyframes thinking { + 0%, 100% { transform: scale(1); opacity: 0.7; } + 50% { transform: scale(0.96); opacity: 0.45; } +} + +/* Individual dot pulse for the 3-dot processing indicator. */ +@keyframes thinking-dot { + 0%, 60%, 100% { transform: scale(0.7); opacity: 0.3; } + 30% { transform: scale(1.15); opacity: 1; } +} + +/* Sound-wave pulse: arc fades in, scales up slightly, fades out. + * The transform-origin is the speaker's center (roughly x=12), so + * the waves feel like they're emanating from the cone. */ +@keyframes voice-wave { + 0% { opacity: 0; transform: scale(0.7); } + 30% { opacity: 1; transform: scale(1); } + 70% { opacity: 0.2; transform: scale(1.12); } + 100% { opacity: 0; transform: scale(0.7); } +} + +@keyframes ind-spin { + /* Scale kept at 1 so we don't fight with the indicator's base + * show/hide transform (see `.ind-spinner` for the rationale). */ + from { transform: scale(1) rotate(0deg); } + to { transform: scale(1) rotate(360deg); } +} + +/* ─── State-specific colors ──────────────────────────────────────────── */ + +.circle.state-signed-out { --glow: #8b7dff; } +.circle.state-authenticated, +.circle.state-ready { --glow: #34d399; } +.circle.state-connecting, +.circle.state-connected, +.circle.state-auto-selecting, +.circle.state-starting { --glow: #facc15; } +/* Queued: a calm slate glow, distinct from connecting's active yellow — this is + * waiting, not working. The spinner turns slowly and the ring breathes. */ +.circle.state-queued { --glow: #94a3b8; } +.circle.state-queued .ind-spinner { animation-duration: 2.4s; } +.circle.state-queued .circle-ring { animation: breathe 2.6s ease-in-out infinite; } +/* Your turn: a slot is held for you — the orb warms to the accent and breathes a + * little quicker, an invitation to join. */ +.circle.state-your-turn { --glow: var(--accent); } +.circle.state-your-turn .circle-ring { animation: breathe 1.6s ease-in-out infinite; } +.circle.state-listening, +.circle.state-user-speaking { --glow: var(--listening); } +.circle.state-processing { --glow: var(--processing); } +.circle.state-ai-speaking { --glow: var(--speaking); } +.circle.state-error { --glow: var(--error); } + +/* Idle / ready: gentle breathing of the inner ring. Kept out of the + * `signed-out` state so the very first paint on page load stays quiet + * (the orb now shows the Reachy head silhouette, no need to also pulse). */ +.circle.state-authenticated .circle-ring, +.circle.state-ready .circle-ring { + animation: breathe 2.4s ease-in-out infinite; +} + +/* Connecting flows: subtle glow throb so the orb feels thoughtful + * while the session is being negotiated. Kept off `processing` on + * purpose - the 3 thinking dots already pulse, and layering another + * throb on top competes with them for attention. */ +.circle.state-connecting .circle-core, +.circle.state-connected .circle-core, +.circle.state-auto-selecting .circle-core, +.circle.state-starting .circle-core { + animation: thinking 1.4s ease-in-out infinite; +} + +/* User is speaking: the mic RMS drives scale + opacity via --audio-level. */ +.circle.state-user-speaking .circle-ring { + animation: none; + opacity: calc(0.25 + 0.55 * var(--audio-level)); + transform: translate(-50%, -50%) scale(calc(1 + 0.08 * var(--audio-level))); + transition: transform 0.08s linear, opacity 0.08s linear; +} +.circle.state-user-speaking .circle-ring-outer { + opacity: calc(0.1 + 0.35 * var(--audio-level)); + transform: translate(-50%, -50%) scale(calc(1 + 0.12 * var(--audio-level))); + transition: transform 0.08s linear, opacity 0.08s linear; +} +.circle.state-listening .circle-ring { + animation: breathe 2s ease-in-out infinite; +} + +/* Assistant is speaking: the whole orb breathes in sync with Reachy's + * voice instead of running a fixed timer. `--ai-audio-level` (0-1) is + * updated at display rate by AiLevelMonitor from the OpenAI output + * track, so every syllable visibly moves the core + outer ring. This + * reads instantly as "the orb is the voice" and completely avoids the + * ambiguity of bars-vs-mic the user flagged. */ +.circle.state-ai-speaking .circle-core { + animation: none; + transform: scale(calc(1 + 0.09 * var(--ai-audio-level, 0))); + transition: transform 0.08s linear; +} +.circle.state-ai-speaking .circle-ring { + animation: none; + opacity: calc(0.3 + 0.5 * var(--ai-audio-level, 0)); + transform: translate(-50%, -50%) scale(calc(1 + 0.05 * var(--ai-audio-level, 0))); + transition: transform 0.08s linear, opacity 0.08s linear; +} +.circle.state-ai-speaking .circle-ring-outer { + animation: none; + opacity: calc(0.15 + 0.55 * var(--ai-audio-level, 0)); + transform: translate(-50%, -50%) scale(calc(1 + 0.18 * var(--ai-audio-level, 0))); + transition: transform 0.08s linear, opacity 0.08s linear; +} +.circle.state-ai-speaking .circle-glow { + opacity: calc(0.35 + 0.45 * var(--ai-audio-level, 0)); + transition: opacity 0.08s linear; +} + +/* ─── Robot picker ────────────────────────────────────────────────────── */ + +.robot-picker { + width: min(420px, 92vw); + background: var(--bg-elev); + border: 1px solid var(--border); + border-radius: var(--radius-md); + padding: 14px 16px; + box-shadow: var(--shadow-soft); +} + +.picker-title { + margin: 0 0 10px; + font-size: 11px; + font-weight: 600; + letter-spacing: 0.1em; + text-transform: uppercase; + color: var(--text-faint); +} + +.robot-list { + display: flex; + flex-direction: column; + gap: 8px; +} + +.robot-card { + display: flex; + justify-content: space-between; + align-items: center; + padding: 12px 14px; + border: 1px solid var(--border); + border-radius: var(--radius-sm); + background: var(--bg-elev-2); + cursor: pointer; + transition: border-color 0.15s, background 0.15s; +} +.robot-card:hover { + border-color: var(--border-strong); +} +.robot-card.selected { + border-color: var(--border-strong); + background: var(--bg-elev); +} + +.robot-card .name { + font-weight: 600; + font-size: 14px; +} +.robot-card .id { + font-family: var(--font-mono); + font-size: 12px; + color: var(--text-faint); +} + +.robot-empty { + padding: 14px; + text-align: center; + color: var(--text-faint); + font-size: 13px; +} + +/* ─── Footer ──────────────────────────────────────────────────────────── */ + +.footer { + padding: 12px 28px 18px; + font-size: 11px; + letter-spacing: 0.02em; + color: var(--text-faint); + display: flex; + justify-content: center; + opacity: 0.55; + transition: opacity 0.25s ease; +} +.footer:hover { + opacity: 0.9; +} +.footer a { + color: inherit; + text-decoration: none; + border-bottom: 1px dotted currentColor; +} +.footer a:hover { + color: var(--text-dim); +} +/* While the webcam preview sits bottom-left, push the credit to the + * bottom-right so the two don't collide. */ +body.cam-on .footer { + justify-content: flex-end; +} + +/* ─── Modal ───────────────────────────────────────────────────────────── */ + +.modal { + border: 1px solid var(--border); + border-radius: var(--radius-md); + padding: 0; + background: var(--bg-elev); + color: var(--text); + width: min(500px, 92vw); + max-width: calc(100vw - 32px); + max-height: calc(100vh - 32px); + box-shadow: var(--shadow-soft); +} +.modal::backdrop { + background: rgba(8, 9, 13, 0.65); + backdrop-filter: blur(4px); +} + +.modal-content { + display: flex; + flex-direction: column; + gap: 16px; + padding: 22px 24px 20px; + overflow-x: hidden; +} + +#settings-modal { + width: min(940px, 94vw); +} + +#settings-modal .modal-content { + gap: 12px; + padding: 18px 20px 16px; +} + +.modal-header { + display: flex; + align-items: center; + justify-content: space-between; + margin-bottom: 4px; +} +.modal-header h2 { + margin: 0; + font-size: 16px; + font-weight: 600; + letter-spacing: 0.02em; +} + +.field[hidden] { display: none; } +.field { + display: flex; + flex-direction: column; + gap: 6px; + font-size: 13px; + font-weight: 500; + color: var(--text-dim); +} +.field > span { + color: var(--text); + font-weight: 600; + font-size: 12px; + letter-spacing: 0.04em; + text-transform: uppercase; +} +.field input, +.field select, +.field textarea { + font-family: inherit; + font-size: 14px; + color: var(--text); + background: var(--bg); + border: 1px solid var(--border); + border-radius: var(--radius-sm); + padding: 10px 12px; + outline: none; + transition: border-color 0.15s; + resize: vertical; +} +.field textarea { + min-height: 84px; +} + +#settings-modal .field { + gap: 5px; +} + +#settings-modal .field input, +#settings-modal .field select, +#settings-modal .field textarea { + padding: 8px 10px; +} + +#settings-modal .field textarea { + min-height: 68px; + resize: none; +} +.field input:focus, +.field select:focus, +.field textarea:focus { + border-color: var(--text-dim); +} +.field small { + color: var(--text-faint); + font-size: 12px; + line-height: 1.4; +} +.field small.error { color: var(--error); } +.field small code { + background: var(--bg); + padding: 1px 5px; + border-radius: 4px; + border: 1px solid var(--border); +} + +/* Noise gate: a header with a live value, a level meter, and a range slider + that shares the meter's horizontal (dB) axis. */ +.field-head { + display: flex; + align-items: baseline; + justify-content: space-between; +} +.field-value { + font-weight: 500; + font-size: 12px; + letter-spacing: 0; + text-transform: none; + color: var(--text-dim); +} +/* The slider and the level meter are one widget: the range input is overlaid + on the meter track (its native track is transparent), so the live-level fill + shows through behind the thumb and the thumb itself is the threshold. */ +.gate { + display: flex; + flex-direction: column; + gap: 4px; +} +.gate-track { + position: relative; + height: 14px; + display: flex; + align-items: center; +} +.gate-track::before { + /* the visible meter track */ + content: ""; + position: absolute; + left: 0; + right: 0; + height: 8px; + border-radius: 999px; + background: var(--bg); + border: 1px solid var(--border); +} +.gate-meter-fill { + position: absolute; + left: 1px; + top: 50%; + transform: translateY(-50%); + height: 6px; + width: 0; + border-radius: 999px; + background: var(--accent-2); + transition: width 0.06s linear; + pointer-events: none; +} +.gate-ends { + display: flex; + justify-content: space-between; + font-size: 11px; + color: var(--text-faint); + letter-spacing: 0; + text-transform: none; +} +/* The range input sits transparently on top of the meter track. */ +.gate-track input[type="range"] { + position: relative; + z-index: 1; + width: 100%; + margin: 0; + -webkit-appearance: none; + appearance: none; + padding: 0; + border: none; + background: transparent; + height: 14px; + cursor: pointer; +} +.gate-track input[type="range"]::-webkit-slider-runnable-track { + height: 14px; + background: transparent; +} +.gate-track input[type="range"]::-moz-range-track { + height: 14px; + background: transparent; +} +.gate-track input[type="range"]::-webkit-slider-thumb { + -webkit-appearance: none; + appearance: none; + width: 6px; + height: 18px; + border-radius: 3px; + background: var(--text); + border: 2px solid var(--bg-elev); + box-shadow: 0 0 0 1px var(--border-strong); +} +.gate-track input[type="range"]::-moz-range-thumb { + width: 6px; + height: 18px; + border-radius: 3px; + background: var(--text); + border: 2px solid var(--bg-elev); + box-shadow: 0 0 0 1px var(--border-strong); +} +.gate-track input[type="range"]:focus { border: none; } + +.modal-footer { + display: flex; + justify-content: space-between; + gap: 12px; + padding-top: 6px; +} + +.btn { + padding: 10px 16px; + border-radius: var(--radius-sm); + border: 1px solid var(--border-strong); + background: var(--bg-elev-2); + color: var(--text); + font-weight: 600; + font-size: 13px; + cursor: pointer; + transition: background 0.15s, border-color 0.15s, transform 0.05s; +} +.btn:hover { + border-color: var(--text); +} +.btn:active { + transform: translateY(1px); +} +.btn.primary { + background: var(--text); + border-color: var(--text); + color: var(--bg); +} +.btn.primary:hover { + background: #fff; + border-color: #fff; +} +.btn.ghost { + background: transparent; + border-color: var(--border); + color: var(--text-dim); +} +.btn.wide { + width: 100%; + padding: 12px 16px; +} +.btn[disabled] { + opacity: 0.45; + cursor: not-allowed; +} +.btn[disabled]:hover { + border-color: var(--border-strong); +} + +/* ─── Settings tabs ───────────────────────────────────────────────────── */ + +.tabs { + display: flex; + gap: 4px; + padding: 4px; + background: var(--bg); + border: 1px solid var(--border); + border-radius: var(--radius-sm); +} +.tab { + flex: 1; + padding: 8px 12px; + border: none; + background: transparent; + color: var(--text-dim); + font-family: inherit; + font-size: 13px; + font-weight: 600; + letter-spacing: 0.02em; + border-radius: calc(var(--radius-sm) - 3px); + cursor: pointer; + transition: background 0.15s, color 0.15s; +} +.tab:hover { + color: var(--text); +} +.tab.active { + background: var(--bg-elev-2); + color: var(--text); + box-shadow: 0 1px 2px rgba(0, 0, 0, 0.3); +} + +.tab-panels { + display: flex; + flex-direction: column; +} +.tab-panel { + display: flex; + flex-direction: column; + gap: 16px; +} +.tab-panel[hidden] { + display: none; +} + +/* Horizontal layout for Voice + Model. */ +.field-row { + display: grid; + grid-template-columns: 1fr 1fr; + gap: 12px; +} + +/* Section label inside the Settings panel (TTS / ASR / LLM). */ +.settings-group-title { + margin: 4px 0 -4px; + font-size: 12px; + font-weight: 600; + letter-spacing: 0.04em; + text-transform: uppercase; + color: var(--text-muted, #888); +} + +@media (min-width: 761px) { + #settings-modal .settings-grid { + display: grid; + grid-template-columns: minmax(0, 1fr) minmax(0, 1fr); + gap: 18px; + align-items: start; + } + + #settings-modal .settings-column { + display: flex; + flex-direction: column; + gap: 10px; + min-width: 0; + } + + #settings-modal .settings-group-title { + margin: 0 0 -2px; + } + + #settings-modal .field-row { + gap: 10px; + } + + #settings-modal .modal-footer { + padding-top: 2px; + } +} + +@media (max-width: 760px) { + #settings-modal { + width: min(500px, 92vw); + } + + #settings-modal .settings-grid, + #settings-modal .settings-column { + display: flex; + flex-direction: column; + gap: 16px; + } +} + +/* ─── Chat button + badge ────────────────────────────────────────────── */ + +#chat-btn { + position: relative; +} + +.chat-badge { + position: absolute; + top: 6px; + right: 6px; + width: 7px; + height: 7px; + border-radius: 50%; + background: var(--text); + border: 1.5px solid var(--bg-elev); + opacity: 0; + transform: scale(0); + transition: opacity 0.2s ease, transform 0.2s ease; + pointer-events: none; +} +.chat-badge.visible { + opacity: 1; + transform: scale(1); +} + +/* ─── Ephemeral bubble stack ─────────────────────────────────────────── */ + +.bubble-stack { + position: fixed; + /* Clear the topbar control row so the first bubble doesn't sit at the same + * height as the buttons. */ + top: 96px; + right: 28px; + width: min(300px, calc(100vw - 56px)); + display: flex; + flex-direction: column; + gap: 8px; + pointer-events: none; + z-index: 100; +} + +.bubble { + --bubble-dx: 10px; + pointer-events: auto; + padding: 10px 14px; + border-radius: var(--radius-md); + font-size: 13px; + line-height: 1.5; + border: 1px solid var(--border); + background: var(--bg-elev); + box-shadow: 0 4px 18px rgba(0, 0, 0, 0.32); + max-width: 100%; + word-break: break-word; + opacity: 0; + transform: translateX(var(--bubble-dx)); + transition: opacity 0.22s ease, transform 0.22s ease; +} +.bubble.in { + opacity: 1; + transform: translateX(0); +} +.bubble.out { + opacity: 0; + transform: translateX(var(--bubble-dx)); + pointer-events: none; + transition: opacity 0.3s ease, transform 0.3s ease; +} + +/* Surfaces stay neutral; the side they sit on plus the mono role label + * carry the distinction. No tinted fills — color is the orb's job. */ +.bubble.user { + --bubble-dx: -10px; + align-self: flex-start; +} +.bubble.assistant { + --bubble-dx: 10px; + align-self: flex-end; +} +.bubble.tool { + --bubble-dx: -10px; + align-self: flex-start; + display: flex; + align-items: center; + gap: 8px; + color: var(--text-dim); + font-family: var(--font-mono); + font-size: 12px; +} +.bubble.tool .bubble-tool-icon { + width: 13px; + height: 13px; + flex: none; + color: var(--voice-tool); +} + +.bubble-role { + font-family: var(--font-mono); + font-size: 10px; + font-weight: 500; + letter-spacing: 0.1em; + text-transform: uppercase; + margin-bottom: 4px; + opacity: 0.7; +} +.bubble.user .bubble-role { color: var(--voice-user); } +.bubble.assistant .bubble-role { color: var(--voice-assistant); } + +/* ─── Conversation history panel ─────────────────────────────────────── */ + +.chat-panel { + position: fixed; + inset: 0; + z-index: 200; + pointer-events: none; +} +.chat-panel-backdrop { + position: absolute; + inset: 0; + background: rgba(8, 9, 13, 0.45); + backdrop-filter: blur(6px); + -webkit-backdrop-filter: blur(6px); + opacity: 0; + transition: opacity 0.25s ease; +} +.chat-panel.open .chat-panel-backdrop { + opacity: 1; + pointer-events: auto; +} +.chat-panel-inner { + position: absolute; + top: 0; + right: 0; + bottom: 0; + width: min(360px, 90vw); + background: var(--bg-elev); + border-left: 1px solid var(--border); + display: flex; + flex-direction: column; + transform: translateX(100%); + transition: transform 0.28s cubic-bezier(0.32, 0.72, 0, 1); + pointer-events: auto; + box-shadow: -8px 0 32px rgba(0, 0, 0, 0.35); +} +.chat-panel.open .chat-panel-inner { + transform: translateX(0); +} +.chat-panel-header { + display: flex; + align-items: center; + justify-content: space-between; + padding: 18px 20px; + border-bottom: 1px solid var(--border); + flex: none; +} +.chat-panel-header h3 { + margin: 0; + font-size: 14px; + font-weight: 600; + letter-spacing: 0.01em; +} +.chat-history { + flex: 1; + overflow-y: auto; + padding: 16px 20px; + display: flex; + flex-direction: column; + gap: 10px; + scroll-behavior: smooth; +} +.chat-history::-webkit-scrollbar { width: 3px; } +.chat-history::-webkit-scrollbar-track { background: transparent; } +.chat-history::-webkit-scrollbar-thumb { background: var(--border-strong); border-radius: 3px; } + +.chat-empty { + flex: 1; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + gap: 6px; + color: var(--text-faint); + padding: 48px 0; + opacity: 0.65; +} +.chat-empty svg { + margin-bottom: 6px; + opacity: 0.8; +} +.chat-empty-title { + font-family: var(--font-mono); + font-size: 11px; + font-weight: 500; + letter-spacing: 0.14em; + text-transform: uppercase; +} +.chat-empty-hint { + font-size: 12px; + color: var(--text-faint); + opacity: 0.7; +} + +/* ─── History messages ───────────────────────────────────────────────── */ + +.hist-msg { + display: flex; + flex-direction: column; + gap: 3px; + max-width: 88%; +} +.hist-msg.user { align-self: flex-start; } +.hist-msg.assistant { align-self: flex-end; } +.hist-msg.tool { align-self: flex-start; max-width: 100%; } + +.hist-role { + font-family: var(--font-mono); + font-size: 10px; + font-weight: 500; + letter-spacing: 0.1em; + text-transform: uppercase; + color: var(--text-faint); + padding: 0 2px; +} +.hist-msg.user .hist-role { color: color-mix(in srgb, var(--voice-user) 75%, var(--text-faint)); } +.hist-msg.assistant .hist-role { color: color-mix(in srgb, var(--voice-assistant) 75%, var(--text-faint)); } +.hist-msg.tool .hist-role { color: color-mix(in srgb, var(--voice-tool) 75%, var(--text-faint)); } + +.hist-body { + padding: 9px 12px; + border-radius: var(--radius-md); + font-size: 13px; + line-height: 1.5; + border: 1px solid var(--border); + background: var(--bg-elev-2); + word-break: break-word; +} +/* Bodies share one neutral surface; alignment + the mono role label do the + * distinguishing, so the panel reads as one quiet column. */ +.hist-msg.user .hist-body.partial { opacity: 0.65; } + +/* ─── Tool call history item ─────────────────────────────────────────── */ + +.hist-tool-header { + display: flex; + align-items: center; + gap: 8px; + padding: 8px 12px; + border-radius: var(--radius-md) var(--radius-md) 0 0; + background: color-mix(in srgb, var(--processing) 10%, var(--bg-elev-2)); + border: 1px solid color-mix(in srgb, var(--processing) 22%, var(--border)); + border-bottom: 1px solid color-mix(in srgb, var(--processing) 15%, var(--border)); + cursor: pointer; + color: var(--text); + font-family: inherit; + font-size: 13px; + font-weight: 500; + width: 100%; + text-align: left; + transition: background 0.15s; +} +.hist-tool-header:only-child { + border-radius: var(--radius-md); + border-bottom: 1px solid color-mix(in srgb, var(--processing) 22%, var(--border)); +} +.hist-tool-header:hover { + background: color-mix(in srgb, var(--processing) 16%, var(--bg-elev-2)); +} +.hist-tool-icon { + width: 13px; + height: 13px; + flex: none; + color: var(--processing); +} +.hist-tool-name { + font-family: var(--font-mono); + font-size: 12px; + color: var(--voice-tool); + font-weight: 600; +} +.hist-tool-chevron { + margin-left: auto; + width: 13px; + height: 13px; + color: var(--text-faint); + transition: transform 0.2s ease; + flex: none; +} +.hist-tool-header[aria-expanded="true"] .hist-tool-chevron { + transform: rotate(180deg); +} +.hist-tool-body { + padding: 10px 12px 12px; + border-radius: 0 0 var(--radius-md) var(--radius-md); + background: var(--bg); + border: 1px solid color-mix(in srgb, var(--processing) 22%, var(--border)); + border-top: none; + display: none; +} +.hist-tool-body.open { display: block; } +.hist-tool-label { + font-family: var(--font-mono); + font-size: 10px; + letter-spacing: 0.08em; + text-transform: uppercase; + color: var(--text-faint); + margin: 8px 0 4px; +} +.hist-tool-label:first-child { margin-top: 0; } +.hist-tool-block { + font-family: var(--font-mono); + font-size: 11px; + line-height: 1.65; + color: var(--text-dim); + white-space: pre-wrap; + word-break: break-word; + overflow-x: auto; +} +.hist-tool-output { color: var(--text); } + +/* ─── Phone layout ──────────────────────────────────────────────────────── + * On phones the floating bubble stream overlaps the orb and there isn't room + * for it, so we drop it entirely and rely on the conversation panel (opened + * from the top-right chat button) as the single place to read the transcript. + * The badge still pulses there when new messages arrive while it's closed. + * We also stack the mic / stop controls above and below the orb (instead of + * left/right) so the wide live row never overflows, and let the panel take + * the full width. */ +@media (max-width: 600px) { + .bubble-stack { + display: none; + } + + .topbar { + padding: 14px 16px; + } + + .stage { + padding: 16px 12px 24px; + } + + /* Stack vertically: mic above the orb, stop below it (DOM order is + * mic → circle → stop). */ + .orb-wrap { + flex-direction: column; + gap: 14px; + } + + .circle { + width: clamp(170px, 56vw, 240px); + } + + /* In the column layout the side controls must collapse by HEIGHT, not + * width, so they take no vertical space until the session is live. */ + .side-btn { + width: 44px; + height: 0; + transition: opacity 0.25s ease, transform 0.25s ease, height 0.25s ease, + background 0.15s, color 0.15s, border-color 0.15s; + } + .side-btn svg { + width: 19px; + height: 19px; + } + .orb-wrap.live .side-btn { + width: 44px; + height: 44px; + } + .mic-gate-arc { width: 70px; height: 70px; } + + /* Full-screen conversation on phones — feels more deliberate than a + * narrow slide-over. It already spans top-to-bottom (inset 0); make it + * span edge-to-edge too and drop the now-pointless border/shadow. */ + .chat-panel-inner { + width: 100vw; + border-left: none; + box-shadow: none; + } +} + +/* ─── About panel ───────────────────────────────────────────────────────── + * Opened from the (i) by the wordmark. Reuses the .modal shell. + * Strictly monochrome per DESIGN.md — the only "color" is the orb, never + * here. Machine identifiers (model IDs, role tags, usernames) ride Geist + * Mono; everything human stays Inter. */ +.about-modal { + /* Roomier on tablet/desktop; the 92vw cap keeps phones full-width. */ + width: min(680px, 92vw); + max-height: 88vh; +} +.about-modal .modal-content { + max-height: 88vh; + overflow-y: auto; + gap: 20px; + padding: 26px 30px 24px; +} +.about-modal .modal-content::-webkit-scrollbar { width: 3px; } +.about-modal .modal-content::-webkit-scrollbar-track { background: transparent; } +.about-modal .modal-content::-webkit-scrollbar-thumb { background: var(--border-strong); border-radius: 3px; } + +/* Links here are quiet: no permanent underline (the global dotted rule is + * too loud for a dense credit block), brighten + underline on hover only. */ +.about-modal a { + color: var(--text); + border-bottom: none; + text-decoration: none; + transition: color 0.15s ease; +} +.about-modal a:hover { + color: #fff; +} +.about-intro a:hover { + text-decoration: underline; + text-underline-offset: 2px; +} +.about-modal .ext { + width: 12px; + height: 12px; + flex: none; + opacity: 0.5; +} + +/* Title row: the demo name and the (i) read as one unit. */ +.ident-head { + display: flex; + align-items: center; + gap: 9px; +} +/* (i) trigger sits right after the title. A faint outline keeps it + * catchable without turning into a card; it fills in on hover. */ +.about-btn { + flex: none; + width: 34px; + height: 34px; + border-radius: 50%; + background: transparent; + border: 1px solid var(--border-strong); + color: var(--text-dim); + display: inline-flex; + align-items: center; + justify-content: center; + cursor: pointer; + touch-action: manipulation; + transition: background 0.15s ease, color 0.15s ease, border-color 0.15s ease; +} +.about-btn:hover { + background: var(--bg-elev); + border-color: var(--text-dim); + color: var(--text); +} +.about-btn svg { + width: 20px; + height: 20px; +} + +/* The mobile twin of (i) lives in the right-hand control cluster and is + * hidden on desktop (the in-title one shows there instead). */ +.about-btn-mobile { + display: none; +} + +/* ── Popup intro: a plain paragraph on the project + a repo link ── */ +.about-intro p { + margin: 0; + font-size: 14px; + line-height: 1.6; + color: var(--text-dim); +} +.about-repo { + display: inline-flex; + align-items: center; + gap: 5px; + margin-top: 12px; + font-size: 14px; + font-weight: 500; +} + +/* ── Corner identity (replaces the wordmark) ── + * A compact stack in the topbar: title, one-line blurb, two meta rows. + * Monochrome; only the role/name identifiers ride the machine typeface. */ +.ident { + display: flex; + flex-direction: column; + gap: 10px; + min-width: 0; +} +/* Reset the global underlined-anchor styling inside the identity block. */ +.ident a { + border-bottom: none; + color: inherit; + transition: color 0.15s ease; +} +.ident a:hover { + color: var(--text); + text-decoration: underline; + text-underline-offset: 2px; +} +.ident-title { + font-size: 22px; + font-weight: 600; + letter-spacing: 0.005em; + line-height: 1.1; + color: var(--text); +} +.ident-blurb { + margin: 0; + max-width: 48ch; + font-size: 14.5px; + line-height: 1.5; + font-weight: 400; + color: var(--text-dim); +} +.ident-meta { + display: flex; + flex-direction: column; + gap: 7px; + font-size: 14px; + font-weight: 400; + color: var(--text-dim); +} +.ident-row { + display: flex; + flex-wrap: wrap; + align-items: center; + gap: 4px 8px; +} +.ident-label { + font-family: var(--font-mono); + font-size: 11px; + font-weight: 500; + letter-spacing: 0.1em; + text-transform: uppercase; + color: var(--text-faint); +} + +/* Shared credit bits — now used in the corner identity block. */ +.sep { + color: var(--text-faint); + opacity: 0.6; +} +.hf-credit { + display: inline-flex; + align-items: center; + gap: 5px; +} +/* Brand marks keep their own color — a deliberate exception to the + * monochrome rule, for the HF and Cerebras logos only. */ +.hf-mark { + width: 14px; + height: 14px; + flex: none; + color: #ffd21e; +} +.cerebras-credit { + display: inline-flex; + align-items: center; + gap: 5px; +} +.cerebras-mark { + width: 14px; + height: 14px; + flex: none; +} +/* Usernames are identifiers, so they ride the machine typeface. */ +.handle { + font-family: var(--font-mono); + font-size: 13.5px; +} + +/* ── Pipeline (the signal flow) ── */ +.about-pipeline { + border-top: 1px solid var(--border); + padding-top: 16px; +} +.pipeline-title { + margin: 0 0 14px; + font-family: var(--font-mono); + font-size: 11px; + font-weight: 500; + letter-spacing: 0.14em; + text-transform: uppercase; + color: var(--text-faint); +} +.pipeline { + list-style: none; + margin: 0; + padding: 0; + position: relative; +} +/* One continuous rail threading every node, dot centers at x=8.5px. */ +.pipeline::before { + content: ""; + position: absolute; + left: 8px; + top: 7px; + bottom: 7px; + width: 1px; + background: var(--border-strong); +} +.pipeline > li { + position: relative; + padding-left: 30px; +} +/* Stages: solid node. Endpoints (you / orb): hollow node. */ +.pipe-stage::before { + content: ""; + position: absolute; + left: 5px; + top: 4px; + width: 7px; + height: 7px; + border-radius: 50%; + background: var(--text-dim); +} +.pipe-endpoint::before { + content: ""; + position: absolute; + left: 5px; + top: 3px; + width: 7px; + height: 7px; + border-radius: 50%; + border: 1px solid var(--text-faint); + background: var(--bg-elev); +} +.pipe-endpoint { + font-family: var(--font-mono); + font-size: 11px; + font-weight: 500; + letter-spacing: 0.12em; + text-transform: uppercase; + color: var(--text-faint); + padding-bottom: 12px; +} +.pipeline > li.pipe-endpoint:last-child { + padding-bottom: 0; +} +.pipe-stage { + padding-bottom: 16px; +} +.pipe-tag { + font-family: var(--font-mono); + font-size: 12px; + font-weight: 600; + letter-spacing: 0.08em; + color: var(--text); + margin-right: 9px; +} +.pipe-job { + font-size: 14px; + color: var(--text-dim); +} +/* Middot between the job and its model link, matching the separators + * used elsewhere. */ +.pipe-job::after { + content: "·"; + margin: 0 7px; + color: var(--text-faint); +} +.pipe-note { + color: var(--text-faint); +} +/* The Cerebras link stays as quiet as the note; brightens + underlines on hover. */ +.pipe-note a { + color: inherit; +} +.pipe-note a:hover { + color: var(--text); + text-decoration: underline; + text-underline-offset: 2px; +} +.pipe-model { + display: inline-flex; + align-items: center; + gap: 4px; + margin-top: 4px; + font-family: var(--font-mono); + font-size: 12px; + color: var(--text-dim); + word-break: break-all; +} +.pipe-model:hover { + color: #fff; + text-decoration: underline; + text-underline-offset: 2px; +} +.pipe-model .ext { + width: 11px; + height: 11px; +} + +/* "Interrupted" tag on an assistant reply the user barged in on. */ +.hist-note { + font-family: var(--font-mono); + font-size: 10px; + font-weight: 500; + letter-spacing: 0.1em; + text-transform: uppercase; + color: var(--text-faint); + padding: 0 2px; +} +.hist-msg.assistant .hist-note { + align-self: flex-end; +} +.hist-msg.interrupted .hist-body { + opacity: 0.7; +} + +/* Captured webcam frame shown in the transcript (camera tool result). */ +.hist-image { + display: block; + width: 100%; + max-width: 240px; + border-radius: var(--radius-sm); + border: 1px solid var(--border); + margin-top: 2px; +} + +/* ─── Tools panel ────────────────────────────────────────────────────────── + * Reuses the modal/field shell. Switches are monochrome (checked = near-white, + * the same high-contrast treatment as the primary button): color belongs to + * the voice, not the chrome. */ +.tools-intro { + margin: 0; + font-size: 13px; + line-height: 1.5; + color: var(--text-dim); +} +.tool-list { + display: flex; + flex-direction: column; +} +.tool-row { + display: flex; + align-items: center; + justify-content: space-between; + gap: 16px; + padding: 12px 0; +} +.tool-row-sep { + border-top: 1px solid var(--border); + margin-top: 4px; +} +.tool-info { + display: flex; + flex-direction: column; + gap: 3px; + min-width: 0; +} +.tool-name { + font-size: 14px; + font-weight: 600; + color: var(--text); +} +.tool-desc { + font-size: 12.5px; + color: var(--text-dim); +} +.tool-row.disabled .tool-name, +.tool-row.disabled .tool-desc { + opacity: 0.5; +} +.tool-hint { + display: block; + font-size: 12px; + line-height: 1.4; + color: var(--text-faint); +} +.tools-key { + margin: 0 0 4px; +} + +/* Toggle switch */ +.switch { + position: relative; + display: inline-flex; + flex: none; + width: 40px; + height: 24px; + cursor: pointer; +} +.switch input { + position: absolute; + inset: 0; + width: 100%; + height: 100%; + margin: 0; + opacity: 0; + cursor: pointer; +} +.switch-track { + position: absolute; + inset: 0; + border-radius: 999px; + background: var(--bg); + border: 1px solid var(--border-strong); + transition: background 0.15s, border-color 0.15s; +} +.switch-track::after { + content: ""; + position: absolute; + top: 50%; + left: 3px; + transform: translateY(-50%); + width: 16px; + height: 16px; + border-radius: 50%; + background: var(--text-dim); + transition: transform 0.18s ease, background 0.15s; +} +.switch input:checked + .switch-track { + background: var(--text); + border-color: var(--text); +} +.switch input:checked + .switch-track::after { + transform: translate(16px, -50%); + background: var(--bg); +} +.switch input:focus-visible + .switch-track { + outline: 2px solid var(--text-dim); + outline-offset: 2px; +} +.switch input:disabled { + cursor: not-allowed; +} +.switch input:disabled + .switch-track { + opacity: 0.5; +} + +/* ─── Webcam preview (camera tool) ────────────────────────────────────────── + * Floating self-view, bottom-left. Mirrored for the user; the frame sent to + * the model is drawn un-mirrored (see captureSnapshot). */ +.cam-pip { + position: fixed; + left: 20px; + bottom: 20px; + width: 280px; + aspect-ratio: 4 / 3; + border-radius: var(--radius-md); + overflow: hidden; + border: 1px solid var(--border-strong); + background: var(--bg-elev); + box-shadow: var(--shadow-soft); + z-index: 90; + opacity: 0; + transform: translateY(8px) scale(0.96); + pointer-events: none; + transition: opacity 0.22s ease, transform 0.22s ease; +} +.cam-pip.visible { + opacity: 1; + transform: none; +} +.cam-video { + display: block; + width: 100%; + height: 100%; + object-fit: cover; + transform: scaleX(-1); /* mirror the self-view only */ + background: var(--bg); +} +.cam-label { + position: absolute; + left: 8px; + bottom: 6px; + font-family: var(--font-mono); + font-size: 9.5px; + letter-spacing: 0.14em; + text-transform: uppercase; + color: var(--text); + opacity: 0.8; + text-shadow: 0 1px 3px rgba(0, 0, 0, 0.7); +} +.cam-flash { + position: absolute; + inset: 0; + background: #fff; + opacity: 0; + pointer-events: none; +} +.cam-pip.flash .cam-flash { + animation: cam-flash 0.4s ease; +} +@keyframes cam-flash { + 0% { opacity: 0; } + 12% { opacity: 0.85; } + 100% { opacity: 0; } +} +@media (max-width: 600px) { + /* Bottom-centred on phones. Auto margins centre it without touching the + * transform, so the slide/scale-in animation still works. */ + .cam-pip { + left: 0; + right: 0; + margin-inline: auto; + bottom: 16px; + width: min(188px, 52vw); + } + /* The credit would sit under the centred preview, so drop it while the + * camera is on. */ + body.cam-on .footer { + display: none; + } +} +@media (prefers-reduced-motion: reduce) { + .cam-pip { + transition: opacity 0.22s ease; + transform: none; + } + .cam-pip.flash .cam-flash { + animation: none; + } +} + +/* ─── Desktop type scale ──────────────────────────────────────────────────── + * A uniform step up (~+1px, title +2) for all UI text on larger screens. + * Scoped to min-width: 601px so it can't reach phones — the ≤600px layout + * keeps every size exactly as it was. */ +@media (min-width: 601px) { + .cam-label { font-size: 10.5px; } + + .bubble-role, + .hist-role { font-size: 11px; } + + .circle-caption, + .footer, + .chat-empty-title, + .hist-tool-block, + .ident-label, + .pipeline-title, + .pipe-endpoint { font-size: 12px; } + + .field > span, + .field small, + .bubble.tool, + .chat-empty-hint, + .hist-tool-name, + .pipe-tag, + .pipe-model, + .tool-hint { font-size: 13px; } + + .tool-desc { font-size: 13.5px; } + + .btn, + .bubble, + .field, + .hist-body, + .hist-tool-header, + .tools-intro { font-size: 14px; } + + .handle { font-size: 14.5px; } + + .about-intro p, + .about-repo, + .brand, + .chat-panel-header h3, + .field textarea, + .ident-meta, + .pipe-job, + .tool-name { font-size: 15px; } + + .ident-blurb { font-size: 15.5px; } + + .modal-header h2 { font-size: 17px; } + + .ident-title { font-size: 24px; } +} diff --git a/webui/realtime_static/ui/account.js b/webui/realtime_static/ui/account.js new file mode 100644 index 00000000..dc2d5b28 --- /dev/null +++ b/webui/realtime_static/ui/account.js @@ -0,0 +1,189 @@ +// @ts-check +/** + * Account — the HF login chip and the daily-limit modal. + * + * Reads `/api/me` to learn the current tier (anonymous / signed-in / PRO) and + * remaining daily talk-time, renders a sign-in pill or a signed-in chip with a + * small popover (tier, remaining, sign out, upgrade), and shows the limit modal + * when a conversation is refused or cut. The time metering itself lives in + * main.js (heartbeat loop) + the server; this module is just the surface. + * + * Inert unless the deploy is in LB mode (`/api/me` → `{enabled:true}`). + */ + +import { $, escHtml } from "./dom.js"; + +const PRO_URL = "https://huggingface.co/subscribe/pro"; + +// Official multi-color Hugging Face logo, used in the badge + sign-in CTA. +const HF_MARK = ``; + +/** @param {number} sec @returns {string} "m:ss" */ +function fmt(sec) { + const s = Math.max(0, Math.round(sec)); + return `${Math.floor(s / 60)}:${String(s % 60).padStart(2, "0")}`; +} + +export class Account { + constructor() { + /** @type {HTMLElement} */ + this._root = $("#account"); + /** @type {HTMLDialogElement} */ + this._modal = $("#limit-modal"); + this._modalTitle = $("#limit-title"); + this._modalMsg = $("#limit-msg"); + this._modalNote = $("#limit-note"); + /** @type {HTMLAnchorElement} */ + this._modalCta = /** @type {any} */ ($("#limit-cta")); + + /** @type {{enabled:boolean, auth?:boolean, loggedIn?:boolean, username?:string, avatar?:string, tier?:string, remainingSec?:number|null, limitSec?:number|null, loginUrl?:string|null, logoutUrl?:string|null}} */ + this._me = { enabled: false }; + this._popoverOpen = false; + + $("#limit-close").addEventListener("click", () => this._modal.close()); + this._modal.addEventListener("click", (e) => { + if (e.target === this._modal) this._modal.close(); + }); + // Close the popover on an outside click. + document.addEventListener("click", (e) => { + if (this._popoverOpen && !this._root.contains(/** @type {Node} */ (e.target))) { + this._closePopover(); + } + }); + } + + get tier() { + return this._me.tier || "anon"; + } + + /** Fetch `/api/me` and (re)render the chip. Safe to call repeatedly (load, + * after the OAuth redirect, after a conversation ends). */ + async refresh() { + try { + const res = await fetch("api/me"); + this._me = res.ok ? await res.json() : { enabled: false }; + } catch { + this._me = { enabled: false }; + } + this._render(); + } + + _render() { + const me = this._me; + if (!me.enabled) { + this._root.hidden = true; + this._root.innerHTML = ""; + return; + } + this._root.hidden = false; + + if (!me.loggedIn) { + // Signed-out: a sign-in pill (only when OAuth is actually available). + if (me.auth && me.loginUrl) { + this._root.innerHTML = ``; + } else { + this._root.innerHTML = ""; + this._root.hidden = true; + } + return; + } + + // Signed-in: avatar + handle chip that toggles a popover. + const isPro = me.tier === "pro"; + // Org members get unlimited usage too, but aren't PRO — don't brand them so. + const isUnlimited = isPro || me.tier === "org"; + const avatar = me.avatar + ? `` + : ``; + const remaining = + isUnlimited || me.remainingSec == null + ? "Unlimited" + : `${fmt(me.remainingSec)} left today`; + const tierLabel = isPro ? "PRO" : isUnlimited ? "Team" : "Free"; + + this._root.innerHTML = ` + + `; + + const chip = $("#account-chip"); + chip.addEventListener("click", (e) => { + e.stopPropagation(); + this._popoverOpen ? this._closePopover() : this._openPopover(); + }); + } + + _openPopover() { + const pop = document.getElementById("account-pop"); + const chip = document.getElementById("account-chip"); + if (!pop || !chip) return; + pop.hidden = false; + chip.setAttribute("aria-expanded", "true"); + this._popoverOpen = true; + } + + _closePopover() { + const pop = document.getElementById("account-pop"); + const chip = document.getElementById("account-chip"); + if (pop) pop.hidden = true; + if (chip) chip.setAttribute("aria-expanded", "false"); + this._popoverOpen = false; + } + + /** + * Show the limit modal for a tier — used both when a conversation is refused + * at start (402) and when a live one is cut (heartbeat `expired`). + * @param {string} [tier] + */ + showLimit(tier = this.tier) { + const canSignIn = this._me.auth && this._me.loginUrl; + this._modalTitle.textContent = "Thanks for chatting!"; + if (tier === "anon") { + this._modalMsg.textContent = + "Guest conversations run for 5 minutes. Sign in with Hugging Face to get 10 minutes a day for free, and PRO members chat with no limit at all."; + this._modalNote.textContent = "Your free minutes refresh tomorrow."; + if (canSignIn) { + this._modalCta.innerHTML = `${HF_MARK}Sign in with Hugging Face`; + this._modalCta.href = /** @type {string} */ (this._me.loginUrl); + this._modalCta.hidden = false; + } else { + this._modalCta.hidden = true; + } + } else { + // Signed-in, non-PRO. + this._modalMsg.textContent = + "You've enjoyed your 10 minutes for today. Go PRO for unlimited conversations and to support open source AI."; + this._modalNote.textContent = "Or come back tomorrow. Your minutes reset daily."; + this._modalCta.innerHTML = "Upgrade to PRO"; + this._modalCta.href = PRO_URL; + this._modalCta.hidden = false; + } + if (!this._modal.open) this._modal.showModal(); + } + + /** Show a warm "we're at capacity" message when even the waiting line is full. + * Reuses the limit modal shell; no call-to-action, just reassurance. */ + showBusy() { + this._modalTitle.textContent = "Hugged to the limit 🤗"; + this._modalMsg.textContent = + "Every slot and the whole line are full right now. Too much love! Grab a coffee and pop back in a minute."; + this._modalNote.textContent = "A spot usually opens up within a few minutes."; + this._modalCta.hidden = true; + if (!this._modal.open) this._modal.showModal(); + } +} diff --git a/webui/realtime_static/ui/chat.js b/webui/realtime_static/ui/chat.js new file mode 100644 index 00000000..5a674ef9 --- /dev/null +++ b/webui/realtime_static/ui/chat.js @@ -0,0 +1,425 @@ +// @ts-check +/** + * ChatView — owns the whole conversation surface: the slide-in history panel, + * the ephemeral on-orb bubbles, and all the transcript/tool/streaming + * bookkeeping. main.js wires the realtime client's events straight to the + * `on*` methods here and otherwise doesn't touch chat state. + * + * Two parallel surfaces share one shape (see `_buildMessageEl`): + * - ephemeral bubbles (`.bubble` / `.bubble-*`) fade on a timer + * - persistent history (`.hist-msg` / `.hist-*`) the durable panel log + * + * Keying: + * - user transcripts by the server's `item_id` — a speculative continuation + * REUSES it, so both segments land in one row/bubble; deltas are CUMULATIVE + * (each carries the full sentence so far), so we replace text wholesale. + * - assistant transcripts by `response_id`, so a cancelled speculative reply + * can be marked interrupted without erasing what was already shown. + */ + +import { $, escHtml, DEBUG } from "./dom.js"; + +const WRENCH_PATH = ``; +const CHAT_BUBBLE_SVG = ``; +const EMPTY_STATE_HTML = `
${CHAT_BUBBLE_SVG}No messages yetTap the orb and start talking
`; + +export class ChatView { + constructor() { + /** @type {HTMLButtonElement} */ + this._chatBtn = $("#chat-btn"); + /** @type {HTMLSpanElement} */ + this._chatBadge = $("#chat-badge"); + /** @type {HTMLDivElement} */ + this._chatPanel = $("#chat-panel"); + /** @type {HTMLDivElement} */ + this._chatPanelBackdrop = $("#chat-panel-backdrop"); + /** @type {HTMLButtonElement} */ + this._chatPanelClose = $("#chat-panel-close"); + /** @type {HTMLDivElement} */ + this._chatHistory = $("#chat-history"); + /** @type {HTMLDivElement} */ + this._bubbleStack = $("#bubble-stack"); + + this._panelOpen = false; + this._scrollQueued = false; + + // ── User transcript state (keyed by item_id) ─────────────────────────── + /** @type {Map} */ + this._userHistByItem = new Map(); + /** @type {HTMLElement | null} */ + this._activeUserBubble = null; + this._activeUserItemId = ""; + // Monotonic counter for synthesizing unique keys when the server omits an + // item_id / response_id, so id-less messages never collapse onto each other. + this._anonSeq = 0; + + // ── Assistant transcript state (keyed by response_id) ────────────────── + /** @type {Map} */ + this._asstByResp = new Map(); + + // ── Ephemeral bubble auto-dismiss ────────────────────────────────────── + // Per-element expiry (epoch ms). A bubble fades once its expiry passes — + // but only in stack order (see _reapBubbles). Refreshing the expiry keeps a + // bubble alive while it updates (e.g. the live user utterance). + /** @type {WeakMap} */ + this._bubbleExpiry = new WeakMap(); + // Single pending reaper handle: one timer for the whole stack (not one per + // bubble) so dismissal is strictly oldest-first regardless of per-bubble delays. + this._reaperHandle = 0; + + this._chatBtn.addEventListener("click", () => (this._panelOpen ? this._closePanel() : this._openPanel())); + this._chatPanelClose.addEventListener("click", () => this._closePanel()); + this._chatPanelBackdrop.addEventListener("click", () => this._closePanel()); + document.addEventListener("keydown", (e) => { + if (e.key === "Escape" && this._panelOpen) this._closePanel(); + }); + } + + // ── Panel ─────────────────────────────────────────────────────────────── + + _openPanel() { + this._panelOpen = true; + this._chatPanel.classList.add("open"); + this._chatBadge.classList.remove("visible"); + this._scrollToBottom(); + } + + _closePanel() { + this._panelOpen = false; + this._chatPanel.classList.remove("open"); + } + + // Coalesce scroll-to-bottom: a burst of cumulative transcript deltas would + // otherwise queue one rAF per delta, all writing the same scrollTop. + _scrollToBottom() { + if (!this._panelOpen || this._scrollQueued) return; + this._scrollQueued = true; + requestAnimationFrame(() => { + this._scrollQueued = false; + this._chatHistory.scrollTop = this._chatHistory.scrollHeight; + }); + } + + _markUnread() { + if (this._panelOpen) { + this._scrollToBottom(); + return; + } + this._chatBadge.classList.add("visible"); + } + + // ── Shared rendering ────────────────────────────────────────────────────── + + /** + * Build a role-labelled message element. Ephemeral bubbles and persistent + * history rows share the same shape and differ only in their class prefix + * (`bubble`/`bubble-*` vs `hist-msg`/`hist-*`). + * @param {{ container: string, prefix: string, role: "user"|"assistant", text: string, partial?: boolean }} o + * @returns {HTMLElement} + */ + _buildMessageEl({ container, prefix, role, text, partial = false }) { + const el = document.createElement("div"); + el.className = `${container} ${role}`; + const label = role === "user" ? "You" : "Assistant"; + el.innerHTML = `
${label}
${escHtml(text)}
`; + return el; + } + + // ── Ephemeral bubbles ─────────────────────────────────────────────────── + + /** @param {"user"|"assistant"|"tool"} role @param {string} text @returns {HTMLElement} */ + _spawnBubble(role, text) { + let el; + if (role === "tool") { + el = document.createElement("div"); + el.className = "bubble tool"; + el.innerHTML = `${WRENCH_PATH}${escHtml(text)}`; + } else { + el = this._buildMessageEl({ container: "bubble", prefix: "bubble", role, text }); + } + this._bubbleStack.appendChild(el); + // Cap the stack at 3, but never evict the bubble the caller is still + // actively updating (the live user bubble) — drop the next-oldest instead. + const visible = /** @type {HTMLElement[]} */ ([...this._bubbleStack.querySelectorAll(".bubble:not(.out)")]); + if (visible.length > 3) { + this._dismissBubble(visible.find((b) => b !== this._activeUserBubble) ?? visible[0]); + } + requestAnimationFrame(() => el.classList.add("in")); + return el; + } + + /** @param {HTMLElement} el @param {string} text */ + _updateBubbleText(el, text) { + const t = el.querySelector(".bubble-body"); + if (t) t.textContent = text; + } + + /** @param {HTMLElement} el */ + _dismissBubble(el) { + if (!el || el.classList.contains("out")) return; // idempotent + this._bubbleExpiry.delete(el); + el.classList.remove("in"); + el.classList.add("out"); + const remove = () => el.remove(); + el.addEventListener("transitionend", remove, { once: true }); + // Fallback: transitionend never fires if the bubble's visual state didn't + // change (dismissed pre-paint) or the tab is backgrounded. The transition + // is 0.3s, so force removal a little after. + setTimeout(remove, 400); + } + + /** + * Fade bubbles whose expiry has passed — strictly oldest-first. We walk the + * stack top (oldest) to bottom (newest) and stop at the first bubble still + * alive: nothing newer may leave while an older bubble is still on screen. A + * bubble that keeps updating pushes its own expiry forward, so it (and + * everything behind it) stays put until it finally goes quiet. + */ + _reapBubbles() { + this._reaperHandle = 0; + const now = Date.now(); + const visible = /** @type {HTMLElement[]} */ ([...this._bubbleStack.querySelectorAll(".bubble:not(.out)")]); + let nextWake = Infinity; + for (const el of visible) { + const exp = this._bubbleExpiry.get(el) ?? now; // no expiry recorded → treat as due + if (exp <= now) { + this._dismissBubble(el); + } else { + // Oldest survivor isn't due yet; stop so nothing newer leaves before it. + nextWake = exp; + break; + } + } + if (nextWake !== Infinity) { + this._reaperHandle = setTimeout(() => this._reapBubbles(), Math.max(50, nextWake - Date.now())); + } + } + + /** + * (Re)arm a bubble's auto-dismiss by pushing its expiry out by `delay`. + * Calling it again resets the countdown — so a bubble that keeps updating + * stays on screen and only fades once it goes quiet. Removal is ordered by the + * shared reaper, so the oldest bubble always disappears first. + * @param {HTMLElement} el @param {number} [delay] + */ + _bumpDismiss(el, delay = 4000) { + this._bubbleExpiry.set(el, Date.now() + delay); + if (!this._reaperHandle) this._reaperHandle = setTimeout(() => this._reapBubbles(), delay); + } + + // ── History ─────────────────────────────────────────────────────────────── + + /** Render the empty-state placeholder into the history panel. */ + renderEmptyState() { + this._chatHistory.innerHTML = EMPTY_STATE_HTML; + } + + /** Reset the panel to the empty state and clear the unread badge. */ + clear() { + this.renderEmptyState(); + this._chatBadge.classList.remove("visible"); + } + + /** @param {"user"|"assistant"} role @param {string} text @param {boolean} partial @returns {HTMLElement} */ + _appendHistMsg(role, text, partial) { + const empty = this._chatHistory.querySelector(".chat-empty"); + if (empty) empty.remove(); + const el = this._buildMessageEl({ container: "hist-msg", prefix: "hist", role, text, partial }); + this._chatHistory.appendChild(el); + this._scrollToBottom(); + return el; + } + + /** @param {HTMLElement | null} el @param {string} text @param {boolean} partial */ + _updateHistMsg(el, text, partial) { + if (!el) return; + const body = /** @type {HTMLElement | null} */ (el.querySelector(".hist-body")); + if (!body) return; + body.textContent = text; + body.classList.toggle("partial", partial); + this._scrollToBottom(); + } + + /** + * Append a tool-call row to the conversation. We only add it once the tool + * has run, so the expandable toggle carries BOTH the call input and its result. + * @param {string} name @param {string} argsJson @param {string} output + */ + _appendHistTool(name, argsJson, output) { + const empty = this._chatHistory.querySelector(".chat-empty"); + if (empty) empty.remove(); + let pretty = argsJson; + try { pretty = JSON.stringify(JSON.parse(argsJson), null, 2); } catch {} + const el = document.createElement("div"); + el.className = "hist-msg tool"; + el.innerHTML = ` +
Tool call
+ +
+
Input
+
${escHtml(pretty)}
+
Output
+
${escHtml(output || "(no output)")}
+
+ `; + const header = /** @type {HTMLButtonElement} */ (el.querySelector(".hist-tool-header")); + const body = /** @type {HTMLDivElement} */ (el.querySelector(".hist-tool-body")); + header.addEventListener("click", () => { + const expanded = header.getAttribute("aria-expanded") === "true"; + header.setAttribute("aria-expanded", String(!expanded)); + body.classList.toggle("open", !expanded); + }); + this._chatHistory.appendChild(el); + this._scrollToBottom(); + } + + /** Tag an assistant history row as interrupted (user barged in mid-reply). + * @param {HTMLElement | null} hist */ + _markHistInterrupted(hist) { + if (!hist || hist.querySelector(".hist-note")) return; + hist.classList.add("interrupted"); + const note = document.createElement("div"); + note.className = "hist-note"; + note.textContent = "Interrupted"; + hist.appendChild(note); + } + + /** Render a captured webcam frame in the transcript (the camera tool result). + * @param {string} dataUrl */ + _appendHistImage(dataUrl) { + const empty = this._chatHistory.querySelector(".chat-empty"); + if (empty) empty.remove(); + const el = document.createElement("div"); + el.className = "hist-msg tool"; + el.innerHTML = `
Snapshot
Webcam snapshot sent to the model`; + const img = /** @type {HTMLImageElement} */ (el.querySelector("img")); + img.src = dataUrl; + this._chatHistory.appendChild(el); + this._scrollToBottom(); + } + + /** + * Reset all streaming bookkeeping for session start / teardown. Pass + * `dismiss` to also fade any bubbles still on screen. + * @param {{ dismiss?: boolean }} [opts] + */ + reset(opts) { + if (opts?.dismiss) { + if (this._activeUserBubble) this._dismissBubble(this._activeUserBubble); + for (const { bubble } of this._asstByResp.values()) this._dismissBubble(bubble); + } + this._userHistByItem.clear(); + this._activeUserBubble = null; + this._activeUserItemId = ""; + this._asstByResp.clear(); + } + + // ── Client event handlers ───────────────────────────────────────────────── + + /** + * A streamed transcript delta (user or assistant). + * @param {{ role: "user" | "assistant"; text: string; partial: boolean; itemId?: string; responseId?: string }} d + */ + onTranscript(d) { + if (DEBUG) console.debug(`[ui] transcript role=${d.role} partial=${d.partial} item=${d.itemId} resp=${d.responseId} text=${JSON.stringify(d.text)}`); + + if (d.role === "user") { + // Group by item_id: a speculative continuation reuses the same id, so it + // updates the same row/bubble. A missing id falls back to the active item + // (same utterance) or a fresh unique key, never a shared sentinel that + // would collapse distinct turns into one row. + const id = d.itemId || this._activeUserItemId || `_u${++this._anonSeq}`; + const text = d.text; + + let hist = this._userHistByItem.get(id); + if (!hist) { + hist = this._appendHistMsg("user", text, d.partial); + this._userHistByItem.set(id, hist); + } else { + this._updateHistMsg(hist, text, d.partial); + } + + // One ephemeral bubble per active item. Purely timer-based: the timer is + // refreshed on every delta, so it stays while the user keeps talking and + // fades a few seconds after they stop — no dependency on a response ever + // arriving, so it can never get stuck. + if (this._activeUserItemId !== id || !this._activeUserBubble) { + this._activeUserBubble = this._spawnBubble("user", text); + this._activeUserItemId = id; + } else { + this._updateBubbleText(this._activeUserBubble, text); + } + this._bumpDismiss(this._activeUserBubble, 6000); + this._markUnread(); + } else if (d.role === "assistant") { + // Assistant transcript arrives once, as the full text, keyed by + // response_id so a cancelled speculative response can be removed later. A + // missing id gets a unique key so two id-less replies never collide. + const rid = d.responseId || `_a${++this._anonSeq}`; + const entry = this._asstByResp.get(rid); + if (!entry) { + const bubble = this._spawnBubble("assistant", d.text); + this._asstByResp.set(rid, { bubble, hist: this._appendHistMsg("assistant", d.text, false) }); + } else { + this._updateBubbleText(entry.bubble, d.text); + this._updateHistMsg(entry.hist, d.text, false); + } + this._markUnread(); + } + } + + /** + * A response closed (completed or cancelled). + * @param {{ responseId: string; status: string; audible?: boolean; transcript?: string }} detail + */ + onResponseFinished(detail) { + const { responseId, status, audible, transcript } = detail; + if (DEBUG) console.debug(`[ui] response-finished resp=${responseId} status=${status} audible=${audible} known=${this._asstByResp.has(responseId)}`); + // Without an id we can't target a specific response; the bubble will + // auto-dismiss on its own timer regardless. + if (!responseId) return; + const entry = this._asstByResp.get(responseId); + + if (status === "cancelled") { + // Keep every transcript that was received — mark it interrupted rather + // than erasing it. If the `*.transcript.done` never fired, build the row + // from the text carried in response.done. + let hist = entry?.hist ?? null; + if (!hist && transcript) { + hist = this._appendHistMsg("assistant", transcript, false); + } else if (hist && transcript) { + this._updateHistMsg(hist, transcript, false); + } + if (hist) this._markHistInterrupted(hist); + if (entry?.bubble) this._bumpDismiss(entry.bubble, 6000); + this._asstByResp.delete(responseId); + return; + } + + // Any other terminal close (completed / failed / incomplete / …): just + // release the map entry. The bubble already auto-dismisses on its timer and + // the history row persists as the conversation log. Crucially we do NOT + // touch user state here — that lifecycle is fully independent. + if (entry?.bubble) this._bumpDismiss(entry.bubble, 6000); + this._asstByResp.delete(responseId); + } + + /** The model called a tool — show an ephemeral "running" bubble. + * @param {string} name */ + onToolCall(name) { + this._bumpDismiss(this._spawnBubble("tool", name)); + this._markUnread(); + } + + /** The tool finished — append its call+result row (and any captured image). + * @param {string} name @param {string} argsJson @param {string} output @param {string} [image] */ + onToolResult(name, argsJson, output, image) { + this._appendHistTool(name, argsJson, output); + if (image) this._appendHistImage(image); // show the captured frame below the call + this._markUnread(); + } +} diff --git a/webui/realtime_static/ui/dom.js b/webui/realtime_static/ui/dom.js new file mode 100644 index 00000000..d5a645a0 --- /dev/null +++ b/webui/realtime_static/ui/dom.js @@ -0,0 +1,37 @@ +// @ts-check +/** Small shared helpers used across the UI modules: a strict query selector, + * HTML escaping for text we drop into innerHTML, error-string trimming, and + * the opt-in debug flag. */ + +/** Opt-in tracing: `localStorage.setItem("s2s.debug", "1")` then reload. */ +export const DEBUG = (() => { + try { + return localStorage.getItem("s2s.debug") === "1"; + } catch { + return false; + } +})(); + +/** + * Query a single element, throwing if it's missing (so a broken selector fails + * loudly at startup rather than as a later null-deref). + * @template {HTMLElement} T + * @param {string} selector + * @returns {T} + */ +export function $(selector) { + const el = document.querySelector(selector); + if (!el) throw new Error(`Missing element: ${selector}`); + return /** @type {T} */ (el); +} + +/** @param {string} s @returns {string} */ +export function escHtml(s) { + return s.replace(/&/g, "&").replace(//g, ">"); +} + +/** Trim a long error message to fit the orb caption. @param {string} text */ +export function truncateError(text) { + if (text.length <= 90) return text; + return text.slice(0, 87) + "…"; +} diff --git a/webui/realtime_static/worklets/audio-playback.js b/webui/realtime_static/worklets/audio-playback.js new file mode 100644 index 00000000..474020fc --- /dev/null +++ b/webui/realtime_static/worklets/audio-playback.js @@ -0,0 +1,171 @@ +// @ts-check +/** + * AudioWorkletProcessor that plays back Float32 mono samples received from + * the main thread, upsampling whatever incoming rate the server uses + * (typically 24 kHz PCM16) to the AudioContext rate (typically 48 kHz). + * + * Lifecycle / messaging: + * + * main -> worklet: + * { kind: "config", inputRate: 24000 } one-shot at startup + * { kind: "audio", samples: Float32Array } (transferable) per chunk + * { kind: "clear" } wipe queue (barge-in) + * + * worklet -> main: + * { kind: "stats", queuedMs, played } every ~250 ms + * { kind: "underrun" } every time the queue + * runs dry mid-playback + * + * Underrun strategy: output silence. We do NOT hold the last sample (that + * tends to produce audible clicks/buzzes when long gaps appear between + * TTS chunks). A short ramp-out + ramp-in at boundaries would be nicer but + * the server's 30 ms cadence makes underruns visible only at end of turn. + */ + +const STATS_INTERVAL_FRAMES = 12000; +const FADE_FRAMES = 32; + +class AudioPlaybackProcessor extends AudioWorkletProcessor { + constructor() { + super(); + this._inputRate = 24000; + this._stepRatio = this._inputRate / sampleRate; + this._queue = []; + this._readIdx = 0; + this._fracPos = 0; + this._playing = false; + this._framesSinceStats = 0; + this._totalPlayed = 0; + this._fadeIn = 0; + this._fadeOut = 0; + this._lastSample = 0; + + this.port.onmessage = (e) => { + const data = e.data; + if (!data || typeof data !== "object") return; + switch (data.kind) { + case "config": + if (typeof data.inputRate === "number" && data.inputRate > 0) { + this._inputRate = data.inputRate; + this._stepRatio = this._inputRate / sampleRate; + } + break; + case "audio": + if (data.samples instanceof Float32Array && data.samples.length > 0) { + this._queue.push(data.samples); + if (!this._playing) { + this._playing = true; + this._fadeIn = FADE_FRAMES; + this._fadeOut = 0; + } + } + break; + case "clear": + this._queue.length = 0; + this._readIdx = 0; + this._fracPos = 0; + this._fadeOut = FADE_FRAMES; + break; + } + }; + } + + _queuedSamples() { + let total = -this._readIdx; + for (const buf of this._queue) total += buf.length; + return Math.max(0, total); + } + + /** Linear-interp read at the current fractional position. */ + _readInterpolated() { + if (this._queue.length === 0) return null; + const head = this._queue[0]; + const idx = this._readIdx; + const frac = this._fracPos; + + let a = head[idx]; + let b; + if (idx + 1 < head.length) { + b = head[idx + 1]; + } else if (this._queue.length > 1) { + b = this._queue[1][0]; + } else { + b = a; + } + return a + (b - a) * frac; + } + + /** Advance the read position by `stepRatio`; pop consumed buffers. */ + _advance() { + this._fracPos += this._stepRatio; + while (this._fracPos >= 1) { + this._fracPos -= 1; + this._readIdx += 1; + } + while (this._queue.length > 0 && this._readIdx >= this._queue[0].length) { + this._readIdx -= this._queue[0].length; + this._queue.shift(); + } + } + + process(_, outputs) { + const channels = outputs[0]; + if (!channels || channels.length === 0) return true; + const out = channels[0]; + const stereo = channels.length > 1 ? channels[1] : null; + + for (let i = 0; i < out.length; i++) { + let sample = 0; + + if (this._playing) { + const v = this._readInterpolated(); + if (v === null) { + // Underrun: try to ramp out cleanly to avoid clicks. + sample = this._lastSample * Math.max(0, 1 - 1 / FADE_FRAMES); + this._lastSample = sample; + if (Math.abs(sample) < 1e-4) { + this._playing = false; + this._lastSample = 0; + this.port.postMessage({ kind: "underrun" }); + } + } else { + sample = v; + this._lastSample = v; + this._advance(); + } + + if (this._fadeIn > 0) { + const gain = 1 - this._fadeIn / FADE_FRAMES; + sample *= gain; + this._fadeIn -= 1; + } + if (this._fadeOut > 0) { + const gain = this._fadeOut / FADE_FRAMES; + sample *= gain; + this._fadeOut -= 1; + if (this._fadeOut === 0) { + this._playing = false; + this._lastSample = 0; + } + } + + this._totalPlayed += 1; + } + + out[i] = sample; + if (stereo) stereo[i] = sample; + } + + this._framesSinceStats += out.length; + if (this._framesSinceStats >= STATS_INTERVAL_FRAMES) { + this._framesSinceStats = 0; + const queuedSamples = this._queuedSamples(); + const queuedMs = (queuedSamples / this._inputRate) * 1000; + this.port.postMessage({ kind: "stats", queuedMs, played: this._totalPlayed }); + } + + return true; + } +} + +registerProcessor("audio-playback", AudioPlaybackProcessor); diff --git a/webui/realtime_static/worklets/mic-capture.js b/webui/realtime_static/worklets/mic-capture.js new file mode 100644 index 00000000..a48860b2 --- /dev/null +++ b/webui/realtime_static/worklets/mic-capture.js @@ -0,0 +1,159 @@ +// @ts-check +/** + * AudioWorkletProcessor that resamples the AudioContext rate (typically 48 kHz) + * down to 16 kHz, packs the result as little-endian Int16 PCM, and posts it + * back to the main thread in fixed-size chunks. + * + * The Hugging Face speech-to-speech WebSocket route expects the + * `input_audio_buffer.append` payload at 16 kHz PCM16 mono. + * + * Design notes: + * - 48 -> 16 is an exact 3:1 ratio so we use a 3-tap boxcar average as a + * cheap low-pass before decimating. Good enough for voice STT; we lose + * a tiny bit of >8 kHz content which the pipeline discards anyway. + * - Output frames are emitted at the cadence dictated by `chunkMs` + * (default 40 ms = 640 samples = 1280 bytes). The OpenAI Realtime + * server batches incoming audio so the cadence is flexible; 20-100 ms + * is the sweet spot. + * - Float -> Int16 saturates to [-1, 1] before scaling. + * - Optional noise gate: per-chunk RMS decides open/closed against a + * threshold; the gain ramps (fast attack, hold, slow release) so word + * onsets aren't clipped and quiet tails don't click. The gate only + * affects the audio we SEND; the main-thread visualiser taps the raw + * mic separately. We post the chunk RMS up every frame so the Settings + * mic meter can show the live level against the threshold. + */ + +const TARGET_RATE = 16000; +const DEFAULT_CHUNK_MS = 40; +// Gate envelope timing (fixed; only the threshold is user-tunable). +const GATE_ATTACK_MS = 5; // open almost instantly so word onsets survive +const GATE_HOLD_MS = 250; // stay open this long after the level drops back under +const GATE_RELEASE_MS = 80; // then fade closed over this long (no click) + +class MicCaptureProcessor extends AudioWorkletProcessor { + constructor(options) { + super(); + const chunkMs = options?.processorOptions?.chunkMs ?? DEFAULT_CHUNK_MS; + this._inputRate = sampleRate; + this._ratio = this._inputRate / TARGET_RATE; + this._chunkSamples16k = Math.round((TARGET_RATE * chunkMs) / 1000); + this._scratch = new Float32Array(0); + this._decimated = new Float32Array(this._chunkSamples16k); + this._enabled = true; + + // Noise gate state. Disabled by default (pure passthrough). + this._gateEnabled = false; + this._thresholdLin = 0; // linear amplitude; signal RMS must exceed this to open + this._gateGain = 1; // smoothed gain currently applied + this._holdRemaining = 0; // samples left before the gate may start closing + this._attackCoef = Math.exp(-1 / ((GATE_ATTACK_MS / 1000) * TARGET_RATE)); + this._releaseCoef = Math.exp(-1 / ((GATE_RELEASE_MS / 1000) * TARGET_RATE)); + this._holdSamples = Math.round((GATE_HOLD_MS / 1000) * TARGET_RATE); + + this.port.onmessage = (e) => { + const data = e.data; + if (data?.kind === "enable") this._enabled = !!data.value; + else if (data?.kind === "gate") { + this._gateEnabled = !!data.enabled; + // dB -> linear amplitude. When off, threshold 0 keeps the gate open. + this._thresholdLin = data.enabled ? Math.pow(10, data.thresholdDb / 20) : 0; + } + }; + } + + /** + * Append `incoming` to the internal scratch buffer, then emit as many + * full output chunks as we have material for. + * @param {Float32Array} incoming + */ + _ingest(incoming) { + if (incoming.length === 0) return; + const next = new Float32Array(this._scratch.length + incoming.length); + next.set(this._scratch, 0); + next.set(incoming, this._scratch.length); + this._scratch = next; + this._maybeEmit(); + } + + _maybeEmit() { + const r = this._ratio; + const n = this._chunkSamples16k; + const needIn = Math.ceil(n * r); + const dec = this._decimated; + while (this._scratch.length >= needIn) { + // 1. Decimate to 16 kHz floats and accumulate energy for the gate/meter. + let sumSq = 0; + if (Math.abs(r - 3) < 1e-6) { + // 48 kHz -> 16 kHz fast path with boxcar lowpass. + for (let i = 0; i < n; i++) { + const idx = i * 3; + const s = (this._scratch[idx] + this._scratch[idx + 1] + this._scratch[idx + 2]) / 3; + dec[i] = s; + sumSq += s * s; + } + } else { + // Generic path: linear interpolation. Slower but works at any rate + // (e.g. some Windows boxes report sampleRate=44100). + for (let i = 0; i < n; i++) { + const srcPos = i * r; + const idx = Math.floor(srcPos); + const frac = srcPos - idx; + const a = this._scratch[idx]; + const b = this._scratch[idx + 1] ?? a; + const s = a + (b - a) * frac; + dec[i] = s; + sumSq += s * s; + } + } + const rms = Math.sqrt(sumSq / n); + + // 2. Decide the gate target for this chunk, then ramp sample-by-sample. + let target = 1; + if (this._gateEnabled) { + if (rms >= this._thresholdLin) { + this._holdRemaining = this._holdSamples; // re-arm the hold + } else if (this._holdRemaining > 0) { + this._holdRemaining -= n; // coasting through the hold window + } else { + target = 0; + } + } + + // 3. Apply the (smoothed) gain and pack to Int16. + const out = new Int16Array(n); + let gain = this._gateGain; + for (let i = 0; i < n; i++) { + const coef = target > gain ? this._attackCoef : this._releaseCoef; + gain = target + (gain - target) * coef; + const s = dec[i] * gain; + const clamped = s < -1 ? -1 : s > 1 ? 1 : s; + out[i] = clamped < 0 ? clamped * 0x8000 : clamped * 0x7fff; + } + this._gateGain = gain; + + // Shift the scratch buffer to keep only the trailing unused samples. + const consumed = Math.floor(n * r); + this._scratch = this._scratch.slice(consumed); + + // Live input level for the Settings meter (raw RMS, pre-gate). + this.port.postMessage({ kind: "level", rms }); + + if (this._enabled) { + this.port.postMessage(out.buffer, [out.buffer]); + } + // When disabled (mic muted) we silently consume input so the worklet + // stays alive and the buffer never grows unbounded. + } + } + + process(inputs) { + const input = inputs[0]; + if (!input || input.length === 0 || !input[0]) return true; + const mono = input[0]; + if (mono.length > 0) this._ingest(mono); + return true; + } +} + +registerProcessor("mic-capture", MicCaptureProcessor); diff --git a/webui/realtime_static/ws/codec.js b/webui/realtime_static/ws/codec.js new file mode 100644 index 00000000..511ad9e8 --- /dev/null +++ b/webui/realtime_static/ws/codec.js @@ -0,0 +1,57 @@ +// @ts-check +/** + * Pure, stateless helpers for the WebSocket realtime client: base64 <-> PCM + * conversion for the audio frames on the wire, transcript extraction from a + * `response.done` payload, and a tiny URL helper. Kept separate from the client + * so the protocol/state logic stays readable. + */ + +/** @param {string} url */ +export function trimTrailingSlash(url) { + return url.endsWith("/") ? url.slice(0, -1) : url; +} + +/** + * Pull the assistant transcript out of a `response.done` payload. The text + * lives in `response.output[].content[].transcript` (audio) or `.text`. Used as + * the source of truth for interrupted replies, where the dedicated + * `*.transcript.done` event may never arrive. + * @param {any} response + * @returns {string} + */ +export function extractResponseTranscript(response) { + const output = response?.output; + if (!Array.isArray(output)) return ""; + /** @type {string[]} */ + const parts = []; + for (const item of output) { + for (const part of item?.content ?? []) { + const text = part?.transcript ?? part?.text; + if (typeof text === "string" && text.trim()) parts.push(text.trim()); + } + } + return parts.join(" ").trim(); +} + +/** @param {ArrayBuffer} buf */ +export function base64FromArrayBuffer(buf) { + const bytes = new Uint8Array(buf); + // Chunked encoding so we don't blow up the call stack on long buffers. + let binary = ""; + const chunk = 0x8000; + for (let i = 0; i < bytes.length; i += chunk) { + binary += String.fromCharCode.apply(null, /** @type {number[]} */ ( + /** @type {unknown} */ (bytes.subarray(i, i + chunk)) + )); + } + return btoa(binary); +} + +/** @param {string} b64 */ +export function base64ToBytes(b64) { + const binary = atob(b64); + const len = binary.length; + const out = new Uint8Array(len); + for (let i = 0; i < len; i++) out[i] = binary.charCodeAt(i); + return out; +} diff --git a/webui/realtime_static/ws/orb-visualizer.js b/webui/realtime_static/ws/orb-visualizer.js new file mode 100644 index 00000000..082f6012 --- /dev/null +++ b/webui/realtime_static/ws/orb-visualizer.js @@ -0,0 +1,98 @@ +// @ts-check +/** + * Orb spectrum visualiser. Each animation frame it reads two AnalyserNodes (the + * mic input and the TTS output) and maps the low-frequency speech energy onto + * the orb's CSS custom properties: + * - `--bar0`..`--bar4` the 5-band level meter + * - `--ai-audio-level` the global "Reachy talks" glow / scale pulse + * + * The bottom of the FFT is where speech energy lives, so the band edges stay + * low — that keeps the bars dancing on voice rather than on noise. While the AI + * is speaking we source the bars from the OUTPUT analyser so the orb pulses with + * Reachy's voice instead of sitting dead while the user is silent. + */ + +// Exported so the client can size its AnalyserNodes to match our buffer. +export const VIS_FFT_SIZE = 256; +const VIS_BAND_COUNT = 5; +const VIS_BAND_EDGES = [2, 5, 9, 16, 28, 52]; +const VIS_ATTACK = 0.6; // weight for new sample on upswing (snappy) +const VIS_RELEASE = 0.18; // weight for new sample on decay (gentle fade) + +export class OrbVisualiser { + /** + * @param {AnalyserNode} micAnalyser + * @param {AnalyserNode} outAnalyser + * @param {() => boolean} isAiSpeaking Source the bars from the AI output when + * true, otherwise from the mic. + */ + constructor(micAnalyser, outAnalyser, isAiSpeaking) { + this._mic = micAnalyser; + this._out = outAnalyser; + this._isAiSpeaking = isAiSpeaking; + this._buf = new Uint8Array(micAnalyser.frequencyBinCount); + this._bands = new Float32Array(VIS_BAND_COUNT); + this._aiLevel = 0; + /** @type {number | null} */ + this._frame = null; + } + + /** Begin the rAF loop (idempotent). */ + start() { + if (this._frame !== null) return; + const root = document.documentElement; + const tick = () => { + this._frame = requestAnimationFrame(tick); + this._update(root); + }; + this._frame = requestAnimationFrame(tick); + } + + /** Stop the loop and clear the CSS vars so the orb returns to rest. */ + stop() { + if (this._frame !== null) { + cancelAnimationFrame(this._frame); + this._frame = null; + } + const root = document.documentElement; + for (let i = 0; i < VIS_BAND_COUNT; i++) root.style.removeProperty(`--bar${i}`); + root.style.removeProperty("--ai-audio-level"); + } + + /** @param {HTMLElement} root */ + _update(root) { + // Mic bars: split FFT into 5 log-ish bands, smooth, write CSS vars. + const source = this._isAiSpeaking() ? this._out : this._mic; + source.getByteFrequencyData(this._buf); + + for (let b = 0; b < VIS_BAND_COUNT; b++) { + const lo = VIS_BAND_EDGES[b]; + const hi = VIS_BAND_EDGES[b + 1]; + let sum = 0; + let n = 0; + for (let i = lo; i < hi && i < this._buf.length; i++) { + sum += this._buf[i]; + n += 1; + } + const target = n > 0 ? sum / (n * 255) : 0; + const prev = this._bands[b]; + const k = target > prev ? VIS_ATTACK : VIS_RELEASE; + const next = prev + (target - prev) * k; + this._bands[b] = next; + root.style.setProperty(`--bar${b}`, next.toFixed(3)); + } + + // Global AI audio level: peak of the output analyser, used by the CSS to + // make the orb's glow / scale react to Reachy's voice. + this._out.getByteFrequencyData(this._buf); + let peak = 0; + const limit = Math.min(this._buf.length, VIS_BAND_EDGES[VIS_BAND_COUNT]); + for (let i = 0; i < limit; i++) { + if (this._buf[i] > peak) peak = this._buf[i]; + } + const aiTarget = peak / 255; + const k = aiTarget > this._aiLevel ? VIS_ATTACK : VIS_RELEASE; + this._aiLevel = this._aiLevel + (aiTarget - this._aiLevel) * k; + root.style.setProperty("--ai-audio-level", this._aiLevel.toFixed(3)); + } +} diff --git a/webui/realtime_static/ws/s2s-ws-client.js b/webui/realtime_static/ws/s2s-ws-client.js new file mode 100644 index 00000000..f03f905c --- /dev/null +++ b/webui/realtime_static/ws/s2s-ws-client.js @@ -0,0 +1,1137 @@ +// @ts-check +/** + * Minimal WebSocket client for the Hugging Face speech-to-speech load balancer. + * + * Two-step handshake (same /session route as the WebRTC client): + * + * 1. POST `/session` -> JSON `{ connect_url: wss:///v1/realtime?session_token=, ... }` + * 2. Open a WebSocket directly on `connect_url` (no rewrite, unlike the WebRTC client). + * + * Once the socket is open we follow the OpenAI Realtime GA WebSocket + * protocol: + * + * - Server pushes `session.created` immediately after upgrade. + * - We send `session.update` (GA schema: `session.audio.{input,output}`, + * `session.output_modalities`, ...). + * - We stream mic audio as PCM16 16 kHz mono base64 chunks via + * `input_audio_buffer.append`. + * - The server pushes `response.output_audio.delta` (PCM16 24 kHz mono + * base64) and transcript deltas. + * + * Audio is handled internally via two AudioWorklet processors so the + * client owns the full mic-in / speaker-out pipeline. The main app only + * sees high-level lifecycle events (`status`, `transcript`, `error`, + * `session`), the same shape as the WebRTC client. + * + * @typedef {"idle" | "creating-session" | "queued" | "your-turn" | "connecting" | + * "connected" | "user-speaking" | "processing" | "ai-speaking" | + * "closed" | "error" + * } WsStatus + * + * @typedef {Object} WsSessionInfo + * @property {string} sessionId + * @property {string} connectUrl + * @property {string} websocketUrl + * @property {string} sessionToken + * @property {number} pendingTimeoutS + * @property {string} [tier] Login tier from the session proxy ("anon"|"free"|"pro"). + * @property {boolean} [limited] Whether this session is metered (heartbeat needed). + * @property {number} [heartbeatSec] Suggested heartbeat cadence in seconds. + * @property {number} [remainingSec] Daily budget left after this grant (display). + * + * @typedef {Object} WsClientOptions + * @property {string} [sessionUrl] URL to POST for the session handshake (returns + * `{ connect_url, ... }`). Usually a same-origin proxy like `api/session` so the + * load-balancer address stays server-side. Provide this OR `directUrl`. + * @property {string} [loadBalancerUrl] Load-balancer base URL. Legacy/direct + * alternative to `sessionUrl`: the client POSTs `/session` itself. Prefer + * `sessionUrl` so the LB address isn't exposed to the browser. + * @property {string} [directUrl] Full WebSocket URL of an s2s realtime endpoint + * (e.g. `ws://localhost:8080/v1/realtime`). When set, the client skips the + * session POST and dials it directly — no load balancer in between. + * @property {string} voice + * @property {string} instructions + * @property {MediaStream} [micStream] Live mic stream. Provide this OR `acquireMic`. + * @property {() => Promise} [acquireMic] Lazily obtain the mic stream, + * called only once a session is actually granted (after any queue wait). Lets the + * caller prime mic permission up front but not hold the mic 'in use' indicator on + * while waiting in line. Ignored if `micStream` is already set. + * @property {AudioContext} [audioContext] Pre-created (and resumed) context. + * iOS Safari only lets an AudioContext start from within a user gesture, so + * the caller creates/resumes it synchronously on the orb tap and hands it + * here; otherwise it stays suspended (silent) after the mic/session awaits. + * @property {ToolDef[]} [tools] Function tools declared to the backend in the + * initial `session.update`. The model decides when to call them; the caller + * executes and replies via `sendToolOutput` + `requestResponse`. + * @property {NoiseGate} [noiseGate] Client-side noise gate applied to the mic + * before it's sent. Tunable live via `setNoiseGate`. + * + * @typedef {Object} NoiseGate + * @property {boolean} enabled + * @property {number} thresholdDb Open threshold in dBFS (e.g. -45). + * + * @typedef {Object} ToolDef + * @property {"function"} type + * @property {string} name + * @property {string} description + * @property {object} parameters JSON Schema for the call arguments. + * + * @typedef {Object} TranscriptEvent + * @property {"user" | "assistant"} role + * @property {string} text + * @property {boolean} partial + */ + +import { + base64FromArrayBuffer, + base64ToBytes, + extractResponseTranscript, + trimTrailingSlash, +} from "./codec.js"; +import { OrbVisualiser, VIS_FFT_SIZE } from "./orb-visualizer.js"; + +/** Build an Error carrying a `code` (and optional extra fields) so callers can + * branch on the failure kind: "limit" | "queue-full" | "queue-expired" | "aborted". + * @param {string} message @param {string} code @param {object} [extra] */ +function _codedError(message, code, extra) { + const err = /** @type {Error & { code?: string }} */ (new Error(message)); + err.code = code; + if (extra) Object.assign(err, extra); + return err; +} + +function _joinTranscript(prev, next) { + const a = (prev || "").trim(); + const b = (next || "").trim(); + if (!a) return b; + if (!b) return a; + if (/[\s([{（《“‘]$/.test(a) || /^[\s,.;:!?，。！？、；：）\]}》”’]/.test(b)) { + return `${a}${b}`; + } + if (/[\u3400-\u9fff]$/.test(a) || /^[\u3400-\u9fff]/.test(b)) { + return `${a}${b}`; + } + return `${a} ${b}`; +} + +// The s2s pipeline runs internally at 16 kHz mono PCM. The WebRTC transport +// resamples to 48 kHz for Opus, but the WebSocket transport emits the +// native pipeline rate. We don't (can't) override it via `audio.output.format` +// because the server's pydantic validator rejects the whole `session.update` +// as soon as a sub-field shape it doesn't know about appears. +const OUTPUT_SAMPLE_RATE = 16000; +const MIC_CHUNK_MS = 40; + +export class S2sWsRealtimeClient extends EventTarget { + /** @param {WsClientOptions} options */ + constructor(options) { + super(); + /** @type {WsClientOptions} */ + this.options = options; + /** @type {ToolDef[]} Function tools declared to the backend. */ + this._tools = options.tools ?? []; + /** @type {string} Direct realtime WS URL (set => skip the LB session POST). */ + this._directUrl = options.directUrl ?? ""; + /** @type {string} Where to POST for the session handshake. Prefer the + * explicit `sessionUrl`; fall back to `/session` for callers + * that still pass the LB address directly. */ + this._sessionUrl = options.sessionUrl + ? options.sessionUrl + : options.loadBalancerUrl + ? `${trimTrailingSlash(options.loadBalancerUrl)}/session` + : ""; + /** @type {(() => Promise) | null} Lazy mic acquisition (post-grant). */ + this._acquireMic = options.acquireMic ?? null; + /** @type {boolean} Set by close() to abort a queue wait in progress. */ + this._closed = false; + /** @type {string} The active queue ticket id while waiting (else ""). */ + this._queueId = ""; + /** @type {(() => void) | null} Wakes the queue poll sleep early on close(). */ + this._queueWake = null; + /** @type {ReturnType | 0} */ + this._queueTimer = 0; + // Join gate: after waiting in line the caller must explicitly `join()` before + // we dial, so a slot isn't spent on someone who walked away. Resolved by + // join(), rejected on timeout (the LB reclaims the slot) or close(). + /** @type {(() => void) | null} */ + this._joinResolve = null; + /** @type {((err: Error) => void) | null} */ + this._joinReject = null; + /** @type {ReturnType | 0} */ + this._joinTimer = 0; + /** @type {NoiseGate} Mic noise gate; off by default. */ + this._noiseGate = options.noiseGate ?? { enabled: false, thresholdDb: -45 }; + /** @type {WebSocket | null} */ + this._ws = null; + /** @type {AudioContext | null} */ + this._ctx = null; + /** @type {MediaStreamAudioSourceNode | null} */ + this._micSrc = null; + /** @type {AudioWorkletNode | null} */ + this._captureNode = null; + /** @type {AudioWorkletNode | null} */ + this._playbackNode = null; + /** @type {GainNode | null} */ + this._captureSink = null; + /** @type {AnalyserNode | null} */ + this._micAnalyser = null; + /** @type {AnalyserNode | null} */ + this._outAnalyser = null; + /** @type {OrbVisualiser | null} */ + this._visualiser = null; + /** @type {WsStatus} */ + this._status = "idle"; + this._aiSpeaking = false; + /** @type {Set} response_ids that have actually played audio, so the + * UI can tell a barge-in cut (keep it) from a never-heard speculative + * response (drop it). */ + this._audibleResponses = new Set(); + /** @type {Map} The CURRENT assistant transcript segment per + * response, accumulated from streamed deltas (reset on each segment's done). */ + this._asstTranscriptByResp = new Map(); + /** @type {Map} Completed assistant transcript segments per + * response, space-joined. A single response can emit several + * `*.transcript.done` events; we concatenate them until response.done. */ + this._asstFullByResp = new Map(); + this._muted = false; + // ── Response lock ──────────────────────────────────────────────────── + // The backend allows only ONE response in flight: creating a second while + // one is active fails with `conversation_already_has_active_response`. So + // we serialize response.create. `_openResponses` counts responses the + // server has confirmed (response.created) but not yet finished + // (response.done) — it's cumulative, so every create maps to one done. + // `_createInFlight` covers the window after we send a create but before its + // response.created echo. Any requestResponse() made while locked is queued + // and replayed, one at a time, as each response.done frees the slot. + this._openResponses = 0; + this._createInFlight = false; + /** @type {{ image?: string }[]} Pending response.create payloads, one per + * queued requestResponse(). A payload may carry an image to send just + * before its create (so the frame travels with the create, not eagerly). */ + this._createQueue = []; + /** @type {Promise | null} */ + this._readyPromise = null; + this._sessionConfigured = false; + /** @type {Record | null} audio.cpp per-session config (TTS/ASR/ + * LLM URLs + params) sent inside session.update as `session.audiocpp`. */ + this._appConfig = options.appConfig ?? null; + this._debug = (() => { try { return localStorage.getItem("s2s.debug") === "1"; } catch { return false; } })(); + } + + get status() { + return this._status; + } + + /** @param {WsStatus} status */ + _setStatus(status) { + if (this._status === status) return; + this._status = status; + this.dispatchEvent(new CustomEvent("status", { detail: { status } })); + } + + /** Full assistant transcript so far for a response: the completed segments + * plus the in-progress one, all space-joined. + * @param {string} rid @returns {string} */ + _asstDisplay(rid) { + const full = this._asstFullByResp.get(rid) || ""; + const seg = this._asstTranscriptByResp.get(rid) || ""; + if (!seg) return full; + return full ? `${full} ${seg}` : seg; + } + + _markAudible() { + if (this._status === "ai-speaking") return; + if (this._status === "closed" || this._status === "error") return; + this._setStatus("ai-speaking"); + } + + /** + * Full handshake. Resolves once the WS is open AND the audio pipeline is + * ready to send/receive samples. + * @returns {Promise} + */ + async connect() { + if (this._ws) throw new Error("Already connected"); + + let connectUrl; + if (this._directUrl) { + // Direct mode: no load balancer, no /session POST — dial the realtime + // endpoint straight away (e.g. a local s2s server). + connectUrl = this._directUrl; + this._setStatus("connecting"); + } else { + if (!this._sessionUrl) { + throw new Error("No session endpoint or direct URL configured"); + } + this._setStatus("creating-session"); + const { grant, waited } = await this._createSessionOrQueue(); + if (this._closed) throw _codedError("connect aborted", "aborted"); + // If we waited in line, don't dial until the user explicitly joins — this + // keeps a freed slot from being spent on someone who stepped away, and the + // click is a fresh gesture (re-arms the AudioContext on iOS). + if (waited) { + await this._awaitJoin(grant); + if (this._closed) throw _codedError("connect aborted", "aborted"); + } + this.dispatchEvent(new CustomEvent("session", { detail: { info: grant } })); + connectUrl = grant.connectUrl; + this._setStatus("connecting"); + } + + // Acquire the mic now — only once a slot is actually ours. The caller primed + // permission up front, so this is silent and the 'in use' indicator lights + // only for a real, connecting session (never during a queue wait). + if (!this.options.micStream && this._acquireMic) { + this.options.micStream = await this._acquireMic(); + } + + // Spin up the AudioContext + worklets in parallel with the WS dial. + const audioReady = this._setupAudio(); + const wsReady = this._openWebSocket(connectUrl); + await Promise.all([audioReady, wsReady]); + } + + /** + * POST the session handshake; if the pool is busy, wait in the queue (polling + * position) until a slot is claimed. Resolves to a grant plus whether we had to + * wait (which decides if an explicit join is required before dialing). + * @returns {Promise<{ grant: WsSessionInfo, waited: boolean }>} + */ + async _createSessionOrQueue() { + const first = await this._postSession(); + if (first.state === "queued") { + this._setStatus("queued"); + const grant = await this._pollQueue(first); + return { grant, waited: true }; + } + return { grant: first.grant, waited: false }; + } + + /** + * Hold at the front of the line until the user clicks join (resolves the gate) + * or the grant lapses. Announces "your-turn" + a deadline the UI counts down. + * @param {WsSessionInfo} grant + * @returns {Promise} + */ + _awaitJoin(grant) { + // The LB reclaims an unclaimed slot at its pending timeout; expire the gate a + // touch earlier so we never dial a session the LB just reaped. + const windowS = Math.max(3, (grant.pendingTimeoutS || 60) - 3); + this._setStatus("your-turn"); + this.dispatchEvent( + new CustomEvent("ready-to-join", { detail: { info: grant, expiresSec: windowS } }), + ); + return new Promise((resolve, reject) => { + this._joinResolve = resolve; + this._joinReject = reject; + this._joinTimer = setTimeout(() => { + this._joinResolve = null; + this._joinReject = null; + reject(_codedError("Your spot expired", "join-expired")); + }, windowS * 1000); + }); + } + + /** Accept the held slot and let connect() proceed to dial. Called from the + * "Join now" click, so it's a user gesture: re-resume the AudioContext, which + * iOS may have suspended while we waited. */ + join() { + if (this._joinTimer) { + clearTimeout(this._joinTimer); + this._joinTimer = 0; + } + try { + void this.options.audioContext?.resume(); + } catch { + // best-effort; _setupAudio resumes again + } + const resolve = this._joinResolve; + this._joinResolve = null; + this._joinReject = null; + resolve?.(); + } + + /** + * POST /session once. Returns either a granted session or a queue ticket. + * @returns {Promise<{ state: "granted", grant: WsSessionInfo } | { state: "queued", queueId: string, position: number, pollIntervalS: number }>} + */ + async _postSession() { + const url = this._sessionUrl; + console.log("[ws] POST", url); + const response = await fetch(url, { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: "{}", + }); + if (response.status === 402) { + // The session proxy refused: today's per-tier time budget is spent. Surface + // it as a typed error so the UI shows the limit modal, not a crash. + const body = await response.json().catch(() => ({})); + throw _codedError("Daily conversation limit reached", "limit", { tier: body?.tier }); + } + if (response.status === 503) { + const body = await response.json().catch(() => ({})); + if (body?.state === "at_capacity") { + throw _codedError("The queue is full — try again shortly.", "queue-full"); + } + throw new Error("/session failed (503)"); + } + if (!response.ok) { + const text = await response.text().catch(() => ""); + throw new Error(`/session failed (${response.status}): ${text}`); + } + const json = await response.json(); + if (json.state === "queued") { + return { + state: "queued", + queueId: json.queue_id, + position: json.position, + pollIntervalS: json.poll_interval_s, + }; + } + return { state: "granted", grant: this._parseGrant(json) }; + } + + /** + * Poll the waiting queue until this ticket claims a slot. Emits `queue` events + * ({ position }) as the line advances. Throws on limit (402), expiry (404), or + * close(). Transient network/5xx blips are ignored and retried next tick. + * @param {{ queueId: string, position: number, pollIntervalS: number }} ticket + * @returns {Promise} + */ + async _pollQueue(ticket) { + const intervalMs = Math.max(1, ticket.pollIntervalS || 2) * 1000; + this._queueId = ticket.queueId; + this._emitQueue(ticket.position); + + while (true) { + await this._queueSleep(intervalMs); + if (this._closed) throw _codedError("queue wait aborted", "aborted"); + + let response; + try { + response = await fetch(`api/queue/${encodeURIComponent(this._queueId)}`, { + headers: { "Content-Type": "application/json" }, + }); + } catch { + continue; // network blip — keep our place, retry next tick + } + + if (response.status === 402) { + const body = await response.json().catch(() => ({})); + throw _codedError("Daily conversation limit reached", "limit", { tier: body?.tier }); + } + if (response.status === 404) { + throw _codedError("Queue timed out", "queue-expired"); + } + if (!response.ok) continue; // 502/503 — transient, retry + + const json = await response.json().catch(() => null); + if (!json) continue; + if (json.state === "queued") { + this._emitQueue(json.position); + continue; + } + // Reached the front and claimed a slot. + this._queueId = ""; + return this._parseGrant(json); + } + } + + /** @param {number} position */ + _emitQueue(position) { + this.dispatchEvent( + new CustomEvent("queue", { detail: { position, queueId: this._queueId } }), + ); + } + + /** A sleep that close() can cut short so a queued client tears down promptly. + * @param {number} ms */ + _queueSleep(ms) { + return new Promise((resolve) => { + this._queueWake = resolve; + this._queueTimer = setTimeout(() => { + this._queueWake = null; + resolve(); + }, ms); + }); + } + + /** @param {any} json @returns {WsSessionInfo} */ + _parseGrant(json) { + return { + sessionId: json.session_id, + connectUrl: json.connect_url, + websocketUrl: json.websocket_url, + sessionToken: json.session_token, + pendingTimeoutS: json.pending_timeout_s, + tier: json.tier, + limited: json.limited, + heartbeatSec: json.heartbeatSec, + remainingSec: json.remainingSec, + }; + } + + async _setupAudio() { + // Prefer a context the caller already created + resumed inside the tap + // gesture (required on iOS). Fall back to creating one here for callers + // that don't (desktop is lenient about the gesture timing). + // Most desktops give us 48 kHz, mobiles can give 44.1/24/16 kHz; the + // capture worklet handles any rate (linear interp fallback). + const ctx = this.options.audioContext ?? new AudioContext({ latencyHint: "interactive" }); + this._ctx = ctx; + + // Resume if still suspended. This is best-effort here — on iOS the resume + // that actually counts is the one the caller did synchronously on tap. + if (ctx.state === "suspended") { + try { + await ctx.resume(); + } catch (err) { + console.warn("[ws] AudioContext resume failed:", err); + } + } + + // The worklets live at the repo root, one level up from this module. + const base = new URL("../worklets/", import.meta.url); + await ctx.audioWorklet.addModule(new URL("mic-capture.js", base).href); + await ctx.audioWorklet.addModule(new URL("audio-playback.js", base).href); + + const captureNode = new AudioWorkletNode(ctx, "mic-capture", { + numberOfInputs: 1, + numberOfOutputs: 0, + processorOptions: { chunkMs: MIC_CHUNK_MS }, + }); + captureNode.port.onmessage = (e) => { + const data = e.data; + if (data instanceof ArrayBuffer) { + this._onMicChunk(data); + } else if (data?.kind === "level") { + // Raw pre-gate mic RMS for the Settings meter. + this.dispatchEvent(new CustomEvent("input-level", { detail: { rms: data.rms } })); + } + }; + // Push the initial gate config now that the worklet exists. + captureNode.port.postMessage({ kind: "gate", ...this._noiseGate }); + this._captureNode = captureNode; + + const micSrc = ctx.createMediaStreamSource(this.options.micStream); + micSrc.connect(captureNode); + this._micSrc = micSrc; + + // Mic analyser: tap the mic in parallel with the worklet so we get the + // raw (un-resampled, un-clipped) signal for the visualiser. + const micAnalyser = ctx.createAnalyser(); + micAnalyser.fftSize = VIS_FFT_SIZE; + micAnalyser.smoothingTimeConstant = 0; + micSrc.connect(micAnalyser); + this._micAnalyser = micAnalyser; + + const playbackNode = new AudioWorkletNode(ctx, "audio-playback", { + numberOfInputs: 0, + numberOfOutputs: 1, + outputChannelCount: [1], + }); + playbackNode.port.postMessage({ kind: "config", inputRate: OUTPUT_SAMPLE_RATE }); + playbackNode.port.onmessage = (e) => this._onPlaybackMessage(e.data); + + // Output analyser sits between the playback worklet and the speakers. + const outAnalyser = ctx.createAnalyser(); + outAnalyser.fftSize = VIS_FFT_SIZE; + outAnalyser.smoothingTimeConstant = 0.3; + playbackNode.connect(outAnalyser); + outAnalyser.connect(ctx.destination); + this._outAnalyser = outAnalyser; + this._playbackNode = playbackNode; + + this._visualiser = new OrbVisualiser(micAnalyser, outAnalyser, () => this._aiSpeaking); + this._visualiser.start(); + } + + /** @param {string} connectUrl */ + _openWebSocket(connectUrl) { + return new Promise((resolve, reject) => { + const ws = new WebSocket(connectUrl); + ws.binaryType = "arraybuffer"; + this._ws = ws; + + const onceOpen = () => { + ws.removeEventListener("open", onceOpen); + ws.removeEventListener("error", onceErr); + resolve(); + }; + const onceErr = (e) => { + ws.removeEventListener("open", onceOpen); + ws.removeEventListener("error", onceErr); + reject(new Error(`WebSocket failed to open: ${e?.type ?? "error"}`)); + }; + ws.addEventListener("open", onceOpen); + ws.addEventListener("error", onceErr); + + ws.addEventListener("message", (e) => this._onWsMessage(e.data)); + ws.addEventListener("close", (e) => this._onWsClose(e)); + ws.addEventListener("error", (e) => { + console.error("[ws] socket error", e); + }); + }); + } + + /** + * @param {{ kind: string; queuedMs?: number; played?: number }} data + */ + _onPlaybackMessage(data) { + if (data?.kind === "underrun") { + // Server stopped sending audio mid-response. Most likely the turn + // ended cleanly (a response.done usually arrives just before/after + // this). We let the state machine fall back to "connected" via the + // response.done event handler. + } + } + + /** + * Mic worklet just sent us a ~40 ms PCM16 16 kHz mono chunk. + * Base64-encode and forward via the WS. + * @param {ArrayBuffer} pcm16Buffer + */ + _onMicChunk(pcm16Buffer) { + if (!this._ws || this._ws.readyState !== WebSocket.OPEN) return; + if (!this._sessionConfigured) return; // Server rejects audio before session.update. + if (this._muted) return; + const b64 = base64FromArrayBuffer(pcm16Buffer); + this._send({ type: "input_audio_buffer.append", audio: b64 }); + } + + /** + * @param {string | ArrayBuffer | Blob} raw + */ + async _onWsMessage(raw) { + let text; + if (typeof raw === "string") { + text = raw; + } else if (raw instanceof ArrayBuffer) { + text = new TextDecoder("utf-8").decode(raw); + } else if (raw instanceof Blob) { + text = await raw.text(); + } else { + return; + } + + let event; + try { + event = JSON.parse(text); + } catch { + return; + } + + const type = event?.type; + if (typeof type !== "string") return; + // Opt-in event tracing for diagnosing turn/transcript issues. Enable with + // `localStorage.setItem("s2s.debug", "1")` in the browser console. + if (this._debug) { + const extra = type.startsWith("conversation.item.input_audio_transcription") + ? ` item=${event.item_id} ci=${event.content_index} ${event.delta ?? event.transcript ?? ""}` + : type.startsWith("response.") + ? ` resp=${event.response_id ?? event.response?.id ?? ""} status=${event.response?.status ?? ""} ${event.transcript ?? ""}` + : ""; + console.debug(`[ws] ${type}${extra}`); + } + + switch (type) { + case "session.created": + // Server-side defaults for the s2s pipeline are already what we + // want (server_vad, whisper-1 transcription, PCM16 16k in / 24k + // out). We only push the user-tunable bits: voice + instructions. + this._sendSessionUpdate(); + this._sessionConfigured = true; + if (this._status === "connecting") this._setStatus("connected"); + break; + + case "session.updated": + // Acknowledged by server, nothing to do. + break; + + case "input_audio_buffer.speech_started": + // User started speaking — stop any audio still playing OR queued, every + // time. We clear unconditionally (not just when `_aiSpeaking`): after a + // reply or a tool result the worklet's ring buffer can still be draining + // even though we already flipped `_aiSpeaking` off, and that tail would + // otherwise keep playing over the user's barge-in. + this._playbackNode?.port.postMessage({ kind: "clear" }); + this._aiSpeaking = false; + this._setStatus("user-speaking"); + break; + + case "input_audio_buffer.speech_stopped": + if (this._status === "user-speaking") this._setStatus("processing"); + break; + + case "response.created": + // A response now owns the slot — count it and clear our create guard + // (this confirms either our create or a server-initiated one). + this._openResponses++; + this._createInFlight = false; + if (this._status === "connected" || this._status === "user-speaking") { + this._setStatus("processing"); + } + break; + + case "response.output_item.added": + if (this._status === "connected" || this._status === "user-speaking") { + this._setStatus("processing"); + } + break; + + case "response.audio.delta": + case "response.output_audio.delta": { + this._pushAudioDelta(event.delta); + const rid = event.response_id ?? event.response?.id; + if (rid) this._audibleResponses.add(rid); + if (!this._aiSpeaking) { + this._aiSpeaking = true; + this._markAudible(); + } + break; + } + + case "response.content_part.added": { + const part = event.part; + if (part?.type === "audio" || part?.type === "output_audio") { + this._markAudible(); + } + break; + } + + case "response.done": { + this._aiSpeaking = false; + // This response freed the slot (completion OR cancellation both arrive + // as response.done). Decrement and, if a create was waiting, replay it. + this._openResponses = Math.max(0, this._openResponses - 1); + if (this._status === "ai-speaking" || this._status === "processing") { + this._setStatus("connected"); + } + // A response closes here for BOTH normal completion and cancellation + // (the s2s server signals a speculative-turn interrupt as + // `response.done` with status "cancelled" — there is no separate + // `response.cancelled` event). Surface the id + status so the UI can + // drop a cancelled response's transcript and commit a completed one. + const status = event.response?.status ?? "completed"; + const responseId = event.response?.id ?? ""; + // Did this response ever play audio? Distinguishes a barge-in cut (the + // user heard part of it) from a speculative response that never played. + const audible = responseId ? this._audibleResponses.has(responseId) : false; + this._audibleResponses.delete(responseId); + // Pull whatever transcript the response carries, falling back to the + // segments we concatenated from the `*.transcript.done` events (plus any + // in-progress delta). For an interrupted reply the response payload may + // be empty, so this is the last chance to capture the text. + const transcript = + extractResponseTranscript(event.response) || + this._asstDisplay(responseId) || + ""; + // Response finished — clear both transcript accumulators for it. + this._asstTranscriptByResp.delete(responseId); + this._asstFullByResp.delete(responseId); + this.dispatchEvent(new CustomEvent("response-finished", { + detail: { responseId, status, audible, transcript }, + })); + // The slot is free now — replay a queued create (e.g. a tool follow-up + // that arrived while this response was still running). + this._flushQueuedCreate(); + break; + } + + case "response.function_call_arguments.done": { + const name = typeof event.name === "string" ? event.name : ""; + const args = typeof event.arguments === "string" ? event.arguments : "{}"; + const callId = typeof event.call_id === "string" ? event.call_id : ""; + if (name) { + this.dispatchEvent(new CustomEvent("toolcall", { + detail: { name, arguments: args, callId }, + })); + } else { + // A nameless call can't be executed, so no function_call_output is + // ever sent and the model would wait forever for a result. The + // backend shouldn't emit these; warn loudly rather than stall silently. + console.warn(`[ws] function_call_arguments.done with no name (call_id=${callId}); cannot run tool — turn may stall`); + } + break; + } + + case "conversation.item.input_audio_transcription.delta": { + const delta = typeof event.delta === "string" ? event.delta : ""; + if (delta) { + // `itemId` is REUSED across a speculative continuation, so the UI + // groups both segments into one message. The delta carries the full + // cumulative transcript so far (not an increment). + this.dispatchEvent( + new CustomEvent("transcript", { + detail: { + role: "user", + text: delta, + partial: true, + itemId: typeof event.item_id === "string" ? event.item_id : "", + }, + }), + ); + } + break; + } + + case "conversation.item.input_audio_transcription.completed": { + const transcript = typeof event.transcript === "string" ? event.transcript : ""; + if (transcript) { + this.dispatchEvent( + new CustomEvent("transcript", { + detail: { + role: "user", + text: transcript, + partial: false, + itemId: typeof event.item_id === "string" ? event.item_id : "", + }, + }), + ); + } + break; + } + + case "response.audio_transcript.delta": + case "response.output_audio_transcript.delta": { + // Stream the assistant transcript live: accumulate the incremental + // deltas and push the running text to the UI. Every transcribe event we + // receive reaches the conversation, so an interrupted reply already has + // its partial text even if the `.done` never fires. + this._markAudible(); + const rid = typeof event.response_id === "string" ? event.response_id : ""; + const delta = typeof event.delta === "string" ? event.delta : ""; + if (delta) { + this._asstTranscriptByResp.set(rid, (this._asstTranscriptByResp.get(rid) || "") + delta); + // Show completed segments + the segment streaming in right now. + this.dispatchEvent( + new CustomEvent("transcript", { + detail: { role: "assistant", text: this._asstDisplay(rid), partial: true, responseId: rid }, + }), + ); + } + break; + } + + case "response.audio_transcript.done": + case "response.output_audio_transcript.done": { + const rid = typeof event.response_id === "string" ? event.response_id : ""; + // This is ONE completed segment. A response can emit several; concatenate + // them, space-separated, until response.done clears the accumulator. + const segment = + (typeof event.transcript === "string" && event.transcript) || + this._asstTranscriptByResp.get(rid) || + ""; + this._asstTranscriptByResp.delete(rid); // segment finished; next one starts fresh + if (segment) { + const prev = this._asstFullByResp.get(rid) || ""; + this._asstFullByResp.set(rid, _joinTranscript(prev, segment)); + } + const full = this._asstFullByResp.get(rid) || ""; + if (full) { + this.dispatchEvent( + new CustomEvent("transcript", { + detail: { role: "assistant", text: full, partial: false, responseId: rid }, + }), + ); + } + break; + } + + case "error": { + const err = event.error; + console.error("[ws] server error:", err); + // The "another response is already active" race: our optimistic create + // collided with a still-running response. Don't surface it — clear the + // in-flight guard and re-queue, so the create replays on the next + // response.done (never retried immediately, which would just collide + // again). + if (err?.type === "conversation_already_has_active_response" || + err?.code === "conversation_already_has_active_response") { + if (this._createInFlight) { + this._createInFlight = false; + // Re-queue a BARE create: any image on the original payload was + // already sent before this (rejected) create, so don't resend it. + this._createQueue.push({}); + } + break; + } + // Every other server error is non-fatal: surface it for logging but + // NEVER tear the socket down. Only transport failures (close / failed + // open) are fatal, and those come through their own paths. + this.dispatchEvent( + new CustomEvent("server-error", { detail: { error: new Error(err?.message ?? "Server error") } }), + ); + break; + } + } + } + + /** @param {string} b64 */ + _pushAudioDelta(b64) { + if (!this._playbackNode) return; + if (!b64) return; + const bytes = base64ToBytes(b64); + const view = new DataView(bytes.buffer, bytes.byteOffset, bytes.byteLength); + const samples = new Float32Array(bytes.byteLength / 2); + for (let i = 0; i < samples.length; i++) { + const s = view.getInt16(i * 2, true); + samples[i] = s < 0 ? s / 0x8000 : s / 0x7fff; + } + this._playbackNode.port.postMessage({ kind: "audio", samples }, [samples.buffer]); + } + + /** @param {CloseEvent} ev */ + _onWsClose(ev) { + console.log("[ws] socket closed:", ev.code, ev.reason); + if (this._status === "closed" || this._status === "error") return; + if (ev.code === 1000) { + this._setStatus("closed"); + } else { + this.dispatchEvent( + new CustomEvent("error", { + detail: { error: new Error(`WebSocket closed (${ev.code}) ${ev.reason || ""}`.trim()) }, + }), + ); + this._setStatus("error"); + } + } + + _sendSessionUpdate() { + // Minimal payload: only the bits the user is allowed to configure. + // The s2s server already defaults to server_vad, whisper-1 + // transcription, 16 kHz PCM input and 24 kHz PCM output, so we don't + // need (and must not send) `audio.input.format`, `audio.input.transcription`, + // `audio.input.turn_detection` or `audio.output.format`: the pydantic + // validator on the server rejects the whole event if any unknown or + // future-shaped sub-field shows up. + /** @type {Record} */ + const session = { type: "realtime" }; + // Only send instructions/voice when set, so an empty field can't clobber a + // value carried in the audiocpp block below (the backend reads both). + if (this.options.instructions) session.instructions = this.options.instructions; + if (this.options.voice) session.audio = { output: { voice: this.options.voice } }; + // audio.cpp per-session config: TTS/ASR server URLs, model ids, voice ref, + // LLM endpoint/key. The realtime backend reads this and reconfigures the + // pipeline before the first turn. + if (this._appConfig) session.audiocpp = this._appConfig; + // Tools are declared here; the backend already accepts them in + // session.update and emits response.function_call_arguments.done when the + // model decides to call one. Only include the keys when we actually have + // tools — the server's pydantic validator is strict about shapes. + if (this._tools.length) { + session.tools = this._tools; + session.tool_choice = "auto"; + } + this._send({ type: "session.update", session }); + } + + /** Update the audio.cpp pipeline config (TTS/ASR/LLM) on a live session. + * @param {Record} cfg */ + updateAppConfig(cfg) { + this._appConfig = { ...(this._appConfig || {}), ...cfg }; + this._send({ + type: "session.update", + session: { type: "realtime", audiocpp: this._appConfig }, + }); + } + + /** Update voice/instructions on a live session without tearing down. */ + /** @param {{ voice?: string; instructions?: string }} patch */ + updateSession(patch) { + /** @type {Record} */ + const session = { type: "realtime" }; + if (patch.instructions) session.instructions = patch.instructions; + if (patch.voice) session.audio = { output: { voice: patch.voice } }; + if (Object.keys(session).length > 1) { + this._send({ type: "session.update", session }); + } + } + + /** + * Replace the declared tool set on a live session (e.g. the user flipped a + * tool switch mid-conversation). Always sends `tools` — an empty array + * clears them — so toggling the last tool off actually removes it. + * @param {ToolDef[]} tools + */ + setTools(tools) { + this._tools = tools; + this._send({ + type: "session.update", + session: { type: "realtime", tools, tool_choice: tools.length ? "auto" : "none" }, + }); + } + + /** + * Return a tool's result to the model. Pairs with the `toolcall` event's + * `callId`. Caller follows this with `requestResponse()` so the model speaks. + * @param {string} callId + * @param {string} output Plain text / JSON string the model will read. + */ + sendToolOutput(callId, output) { + if (!callId) return; // Can't target a result without the call id. + this._send({ + type: "conversation.item.create", + item: { type: "function_call_output", call_id: callId, output }, + }); + } + + /** + * Add an image to the conversation as user content, so the vision-language + * model can see it (used by the camera tool). `dataUrl` is a + * `data:image/jpeg;base64,...` string. + * @param {string} dataUrl + */ + sendUserImage(dataUrl) { + this._send({ + type: "conversation.item.create", + item: { + type: "message", + role: "user", + content: [{ type: "input_image", image_url: dataUrl }], + }, + }); + } + + /** + * Ask the model to generate a response now (after feeding tool results). + * Serialized: if a response is already in flight we queue this request and + * replay it once the active response finishes, so we never trip the + * backend's `conversation_already_has_active_response` guard. + * + * @param {{ image?: string }} [opts] Optional `image` (a data URL) sent as a + * user `input_image` immediately before this response.create — so the frame + * travels with the create (and is deferred together with it if queued), + * rather than being added to the conversation eagerly. Used by the camera + * tool so the model sees the snapshot in the response it's about to speak. + */ + requestResponse(opts = {}) { + if (this._responseActive()) { + this._createQueue.push(opts); + if (this._debug) console.debug(`[ws] response.create queued (a response is active); pending=${this._createQueue.length}`); + return; + } + this._createResponseNow(opts); + } + + /** True while a response occupies the single backend slot. */ + _responseActive() { + return this._openResponses > 0 || this._createInFlight; + } + + /** Send a response.create immediately and arm the in-flight guard. Any image + * on the payload is added as user content right before the create. + * @param {{ image?: string }} [opts] */ + _createResponseNow(opts = {}) { + if (!this._ws || this._ws.readyState !== WebSocket.OPEN) return; + if (opts.image) this.sendUserImage(opts.image); + this._createInFlight = true; + this._send({ type: "response.create" }); + } + + /** Replay one queued response.create if the slot is now free. Called on every + * response.done, so queued creates drain one-per-completion. */ + _flushQueuedCreate() { + if (this._createQueue.length > 0 && !this._responseActive()) { + const opts = this._createQueue.shift(); + if (this._debug) console.debug(`[ws] replaying queued response.create; remaining=${this._createQueue.length}`); + this._createResponseNow(opts); + } + } + + /** @param {boolean} muted */ + setMuted(muted) { + this._muted = muted; + } + + /** + * Update the mic noise gate live (the user moved the Settings cursor). + * @param {NoiseGate} gate + */ + setNoiseGate(gate) { + this._noiseGate = gate; + this._captureNode?.port.postMessage({ kind: "gate", ...gate }); + } + + /** @param {Record} event */ + _send(event) { + if (!this._ws || this._ws.readyState !== WebSocket.OPEN) return; + this._ws.send(JSON.stringify(event)); + } + + async close() { + // Abort a queue wait in progress: flag it and wake the poll sleep so + // `_pollQueue` throws "aborted" and connect() unwinds cleanly. + this._closed = true; + if (this._queueWake) { + clearTimeout(this._queueTimer); + const wake = this._queueWake; + this._queueWake = null; + wake(); + } + if (this._joinTimer) { + clearTimeout(this._joinTimer); + this._joinTimer = 0; + } + if (this._joinReject) { + const reject = this._joinReject; + this._joinResolve = null; + this._joinReject = null; + reject(_codedError("join aborted", "aborted")); + } + this._visualiser?.stop(); + this._visualiser = null; + try { + if (this._ws && this._ws.readyState <= WebSocket.OPEN) { + this._ws.close(1000, "client closed"); + } + } catch { + // ignored + } + this._ws = null; + + try { + this._captureNode?.port.close?.(); + } catch { + // ignored + } + try { + this._micSrc?.disconnect(); + } catch { + // ignored + } + try { + this._captureNode?.disconnect(); + } catch { + // ignored + } + try { + this._micAnalyser?.disconnect(); + } catch { + // ignored + } + try { + this._outAnalyser?.disconnect(); + } catch { + // ignored + } + try { + this._playbackNode?.disconnect(); + } catch { + // ignored + } + try { + await this._ctx?.close(); + } catch { + // ignored + } + this._ctx = null; + this._captureNode = null; + this._playbackNode = null; + this._micSrc = null; + this._micAnalyser = null; + this._outAnalyser = null; + this._setStatus("closed"); + } +} diff --git a/webui/voice/demo_01_man.wav b/webui/voice/demo_01_man.wav new file mode 100755 index 0000000000000000000000000000000000000000..aa3bc4220f5ec5ec18fac687bdf3109bb56ffc3d GIT binary patch literal 905294 zcmeFZ1$RDL1imBi9fAK7 z5ilD6Pt^Lm&fgLEj=*;Wz9aA*f$s=>N8mdG-x2tZz;^_`Bk&!8?+AQH;5!2Ue?bv?{0^0)o`pX~qtq^xiI z`M+=aKSTb1Uyc6fd;Wh8Mo3dMPyQ$7%D*S$|1FGByZ@fn{|-K8>Ho?m%`*RU{(le6 zf7RaqopRL2|0jPY&A-;)gqHEI-+$GYuWS8tzJJYOvX6hI^?yEc|GeG*UhcnY^;;>} zzh>@#uioFe%y^p6{Z?`p?|%oeZ)=;DHzyT<>Y+o?&jF8+Uvnd^OB@~>-k zasM;ku3mNVeH;6>9!jHMSKY3dspQ)lrd)Fw;x_BjHSbW4IrnS+uiNR$|F2pw)%dng z=GOnw9#N|}pnv@R^H$9IqdNb*$NwnlYw0HazxAwU4zqM5(uE7^b61V7o|+}2w#;+E#B1XJx)!Q$s%esh_)PVYfBt)0rnE_> 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