Bump scikit-learn from 1.3.0 to 1.5.0 - #8
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Fix PostgreSQL migration error with reserved keyword "user"
…s, and simplified config - Make UI features data-driven (check transcription.hasDialogue instead of useAsrEndpoint flag) - Add ConnectorSpecifications dataclass for provider constraints (file size, chunking, codecs) - Add SPEAKER_COUNT_CONTROL capability for connectors supporting min/max speakers - Implement connector-aware chunking with priority: connector internal > ENV > connector defaults - Simplify environment variables with auto-detection (ASR_BASE_URL > TRANSCRIPTION_MODEL) - Update templates to conditionally show diarization options based on connector capabilities - Add env.transcription.example with updated documentation
…scriptions - Add error formatting utility with pattern matching for known errors (413, timeout, auth, etc.) - Store errors as ERROR_JSON format for rich frontend display - Show color-coded error cards with icons, titles, guidance, and technical details - Add permanent error detection to job queue (skip retries for 413, 401, etc.) - Keep failed recordings instead of deleting so users can see errors and fix settings - Disable summary generation and chat when transcription is an error - Show friendly error messages in progress popup and toasts - Update both desktop and mobile UIs with error handling
- Add 400/404 to permanent error codes (won't retry bad requests) - Add invalid_request_error and bad request patterns - Fix regex patterns to simple substring matching - Convert files with unsupported extensions (like .weba) to mp3 OpenAI only accepts: flac, m4a, mp3, mp4, mpeg, mpga, oga, ogg, wav, webm
- Upload endpoint now passes connector_specs to convert_if_needed - File monitor also fetches and passes connector_specs - This enables connector-aware codec conversion (e.g. opus -> mp3 for OpenAI) - Extension check remains as fallback safety net
- Fix duration-based chunking for gpt-4o-transcribe-diarize (pass connector_specs) - Always init chunking service so hard limits override ENABLE_CHUNKING=false - Add TEXT_MODEL config to env.transcription.example (fixes Reddit user issue) - Update README, getting-started.md, docker-compose.example.yml with required keys - Add timeout error logging and fix UI updates on recording failure
…erver-side duration
…al, ASR editor save UX, and prompt-preview legend across all six languages
…ences/transcription-model translations, localising language option lists, and noting model-label localisation policy
…ereira)
Resolves conflict in templates/account.html where the PR's pt-BR additions
to the old in-tab Language Preferences block were rebased onto the new
Preferences tab introduced this release.
Backfills pt-BR.json with the 47 keys added since the PR was opened
(promptVariables.*, summaryMode.*, customizeSummary.*, asrEditor.*,
preview.*, form.transcriptionModel*, languages.{pl,uk,vi,th,tr,id,sv},
languages.autoDetect, languages.defaultModelDecides, preferences.*,
accountTabs.preferences, editTagModal.watchFolderVariableWarning) so
all seven locales remain at full parity.
…pytest, not just main()
…gle reflect the chosen prompt source
…ap and add Nginx Proxy Manager guidance
…b Releases for older versions
…s of current status
…ne sklearn call per chunk
…gainst local-path allowlist
Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.3.0 to 1.5.0. - [Release notes](https://github.com/scikit-learn/scikit-learn/releases) - [Commits](scikit-learn/scikit-learn@1.3.0...1.5.0) --- updated-dependencies: - dependency-name: scikit-learn dependency-version: 1.5.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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…s in the top-left of the viewport — getParticipantDropdownPosition was looking up the input via document.querySelectorAll('.max-w-md input[placeholder=...']) where neither the .max-w-md class nor the i18n placeholder string match the design-system modal's markup (input uses .field and a literal English placeholder), so the lookup matched no element and the function fell back to top: 0, left: 0; now the input carries a :data-participant-index attribute and the JS looks it up via input[data-participant-index=N], which is independent of class names and placeholder text
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Bumps scikit-learn from 1.3.0 to 1.5.0.
Release notes
Sourced from scikit-learn's releases.
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b51d0c9trigger whell builder [cd build]919ae9bMAINT Reoder what's new for 1.5 (#29039)0ac28adDOC Release highlights 1.5 (#29007)729b54dtest py3.12 against numpy 2 [cd build]1e50434set versionffbe4abDOC remove obsolete SVM example (#27108)4647729DOC Fix time complexity of MLP (#28592)9bd7047FIX convergence criterion of MeanShift (#28951)b79420fFIX add long long for int32/int64 windows compat in NumPy 2.0 (#29029)37f544dDOC replace pandas with Polars in examples/gaussian_process/plot_gpr_co2.py (...You can trigger a rebase of this PR by commenting
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