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sehr-gut

florida ze germans r cumming

It's me wanna have fun meaningful with friends/weirdoes and chatting to them. I'm frequently accredited with speaking schizo - let's super sayan nicer schizo goes abroad. It’s a me‑chat translate/enhance thing. Basic, silly, but growing into something useful.


Project Status

Current stage: Usable (try with caution)

  • ✅ First fakeprototype deployed (HTML + Vercel)

Overview

sehr-gut is a contextual banter assistant — not just a translator.
It decodes slang, memes, and layered meaning in online conversations, then suggests playful comebacks with different spice levels.

Think henlo for the shcizo let's get on base 2:

  • Not “How do I say hello?”
  • But “They just said Ehrenmann — are they roasting me or complimenting me?”

Getting Started

git clone https://github.com/hrt127/sehr-gut.git
cd sehr-gut
# No backend, no app — just open index.html in your browser

⚠️ Internal deploy only — not ready for visitors Live demo (prototype):


🔄 Current vs Next

🎂 Current Deploy

  • Basic HTML translator only
  • Hosted on Vercel
  • Internal prototype — not ready for visitors

🍌 Next Iteration (coming soon)

  • Streamlit app with tabs (Decode, Comebacks, Log) — works but needs refinement
  • Expanding slang DB + personalization — partially explored, not stable yet
  • Preparing platform integrations (Discord, Farcaster, etc.) — ideas in motion, not ready
  • Expect bugs and ongoing iteration as I learn and adjust
  • Comeback generator with spice levels 🌶️
  • Interaction log to grow style over time
  • Roadmap alignment with README vision

Features

  • Decode slang/context across languages (German, French, Japanese, Russian, Korean, Italian)
  • Generate comebacks with spice levels (Safe maybe who knows, why are you running, rawdog )
  • Meme awareness
  • Interaction log to grow your style over time

🗺️ Roadmap

  • HTML prototype of a prototype of an announcement go away it's my first deployed on Vercel
  • Updated vision aligned HTML deployed on Vercel
  • Streamlit app with tabs (Decode, Comebacks, Log)
  • Expand slang DB + SQLite logging
  • Add personalization features
  • Platform expansion → X, Discord, Telegram, Farcaster, YouTube, Email/Form
  • Tone calibration (choose how hard to go, 1–10 scale)
  • Banter mode → roast back, not just translate

📖 Log / Process

This README doubles as a diary (including proper Github use for more than just me) of how it’s being built:

  • 👀 Started with a simple HTML file → deployed on Vercel
  • 🍌 To add Streamlit app with tabs (Decode, Comebacks, Log)
  • 🪢 Expanding slang DB + SQLite logging
  • 🪢 Working on personalization and platform integrations

Contributing

This is mostly for me and fun for now, but if you want to jump in:

  • Fork the repo
  • Make your tweaks
  • Open a pull request

License

MIT — Copyright (c) 2025 hrt127

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