rin.kagamine
e687f7d457
Backend:
- New text_gen.py module with Gemini text generation client
- suggest_prompts(): generates 3 prompt suggestions from user input
- get_text_gen_config(): loads config from .env (model, API key, safety)
- get_available_models(): returns list of Gemini text models
- Safety settings: harassment, hate_speech, sexually_explicit, dangerous
Configurable via TEXT_GEN_SAFETY_* env vars (default: BLOCK_ONLY_HIGH)
- New endpoints:
* POST /api/text-gen/suggest — generates 3 prompt suggestions
* GET /api/text-gen/models — lists available text models
* GET /api/text-gen/config — returns safe config (API key masked)
* POST /api/text-gen/config — updates config in-memory
- Default model: gemini-2.5-flash
- Fallback API key: LYRIA_API_KEY if TEXT_GEN_API_KEY not set
- System prompt: expert music producer persona for rich musical detail
Frontend:
- New SuggestionsModal component for displaying generated suggestions
- Auto-fetches when opened
- Shows loading spinner, error state, or suggestion list
- Each suggestion clickable to populate the prompt field
- Hover effect: 'Click to use this prompt →'
- Generator component updated with 'Get Suggestions ✨' button
- Appears next to prompt label in both Basic and Advanced modes
- Disabled when no input present
- Clicking suggestion populates the prompt/structured fields
- SettingsModal expanded with Text Generation section (collapsible)
- Same pattern as Image Generation: model, API key status, safety filters
- Editable dropdowns with Save Changes button
- Refactored to use shared useGenSettings hook for both sections
Models Available:
- gemini-2.5-flash (GA, default) — best price-to-performance
- gemini-2.5-pro (GA) — highest quality reasoning
- gemini-3.5-flash (Preview) — next-gen Flash
- gemini-3.1-flash (Preview) — latest with thinking
Architecture KB and Tasks KB updated.
Lyria 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 Lyria API client, 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: Lyria 3 Clip Preview (30s, REST)
- v0.2: Lyria 3 Pro (structure-aware, ~3min)
- v0.3: Lyria RealTime (WebSocket streaming)
License
MIT — Hardcore will never die.