da5e63817fbaba59acbc6da731f6f153ac9b0071
The MAESTRO_COMPLETE_PROMPT was telling Gemini to NOT repeat the user's text, which caused the frontend to replace the entire prompt with only the completion. Changed the prompt to instruct Gemini to rewrite and expand the user's idea into a complete, polished prompt that incorporates their words naturally. This way setPrompt(result) replaces with something the user recognizes as their own idea, expanded.
Kithara Studio
A webapp for generating, playing, and storing music clips using Google's Lyria music generation models.
Built by Kagamine Rin & Ryan.
Quick Start
# Backend
cd backend
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
cd src
uvicorn main:app --reload
# Frontend (new terminal)
cd frontend
npm install
npm run dev
Architecture
- Backend: FastAPI (Python) — async API client for Google's Lyria models, SQLite metadata, file storage
- Frontend: React + Vite + TypeScript + Tailwind — dark theme, audio player
- Storage: SQLite for clip metadata, local filesystem for MP3 files
API
| Endpoint | Method | Description |
|---|---|---|
/api/health |
GET | Health check |
/api/generate |
POST | Start clip generation |
/api/clips |
GET | List all clips |
/api/clips/{id} |
GET | Get clip metadata |
/api/clips/{id}/audio |
GET | Stream MP3 |
/api/clips/{id} |
DELETE | Delete clip |
Models
- v0.1: Google Lyria 3 Clip Preview (30s, REST)
- v0.2: Google Lyria 3 Pro (structure-aware, ~3min)
- v0.3: Google Lyria RealTime (WebSocket streaming)
License
MIT — Hardcore will never die.
Description
A webapp for generating, playing, and storing music clips using Google's Lyria models
1.7 MiB
0 Stars
2 Watchers
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Languages
TypeScript
51.8%
Python
47.4%
JavaScript
0.3%
Dockerfile
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CSS
0.2%
Other
0.1%