# Live Ozan Radio

Personal AI radio — **no catalog music, ever**. DeepSeek is the DJ. Google **Lyria 3** composes every track. Spotify is read-only taste input.

Inspired by [Magenta RealTime 2](https://magenta.withgoogle.com/magenta-realtime-2) (live, ~200ms) and [Lyria 3](https://deepmind.google/models/lyria/) (full songs via Gemini API). On Mac you can layer MRT2 for true live improvisation; this repo ships the cross-platform Lyria + DeepSeek stack first.

## Stack

| Layer | Product | Role |
|-------|---------|------|
| DJ brain | DeepSeek (via Tinqs inference or BYOK) | Mood, prompts, variety |
| Music engine | Google Lyria 3 Pro / Clip | Generate MP3 tracks |
| Taste | Spotify Web API (optional) | Top artists, genres — never plays Spotify |
| Player | FastAPI + `gateway/player.html` | Stream generated queue |
| Live (optional) | Magenta RealTime 2 | Apple Silicon only — see below |

## Quick start (Forge / Windows)

```powershell
cd live-ozan-radio
python -m venv .venv
.venv\Scripts\activate
pip install -e .
copy .env.example .env
# Fill GEMINI_API_KEY + DEEPSEEK_API_KEY (and Spotify if you have them)

python -m ozan_radio serve
# Open http://127.0.0.1:8787/player
```

One-shot track (no server):

```powershell
python -m ozan_radio generate
```

## Environment

| Variable | Required | Notes |
|----------|----------|-------|
| `GEMINI_API_KEY` | Yes | [Google AI Studio](https://aistudio.google.com/apikey) — Lyria 3 |
| `DEEPSEEK_API_KEY` | Yes | Tinqs proxy or DeepSeek direct |
| `DEEPSEEK_BASE_URL` | No | Default `https://tinqs.com/api/v1/inference` |
| `SPOTIFY_*` | No | Refresh token flow — taste only |
| `LYRIA_MODEL` | No | `lyria-3-pro-preview` (default) or `lyria-3-clip-preview` |

### Spotify setup (taste profile)

1. Create an app at [Spotify Developer Dashboard](https://developer.spotify.com/dashboard).
2. Add redirect URI `http://127.0.0.1:8888/callback`.
3. Complete OAuth once to obtain a refresh token (scope: `user-top-read`).
4. Paste `SPOTIFY_CLIENT_ID`, `SPOTIFY_CLIENT_SECRET`, `SPOTIFY_REFRESH_TOKEN` into `.env`.

The Spotify MCP / tool you wired to DeepSeek can call the same endpoints — this repo exposes them natively for the DJ loop.

## API

| Method | Path | Description |
|--------|------|-------------|
| GET | `/api/now` | Current track metadata |
| GET | `/api/queue` | Full queue |
| POST | `/api/generate` | DJ plans + Lyria renders next track |
| POST | `/api/skip` | Advance queue |
| GET | `/stream/{file}` | MP3 stream |
| GET | `/player` | Web UI |

## Magenta RealTime 2 (optional live layer)

On **Apple Silicon** (Kraken), install [magenta-rt](https://github.com/magenta/magenta-realtime) for sub-second live generation:

```bash
uv pip install "magenta-rt[mlx]"
mrt models init && mrt models download
mrt mlx generate --prompt "disco funk" --duration 4.0 --model=mrt2_small
```

Wire MRT2 as a bridge between tracks or as a live “bed” under the Lyria queue — PRs welcome.

## Publish on tinqs.com (public repo)

1. On Git Studio: **+ → New Repository**
   - Owner: `tinqs`
   - Name: `live-ozan-radio`
   - Visibility: **Public**
2. Push:

```bash
git init
git remote add origin git@ssh.tinqs.com:tinqs/live-ozan-radio.git
git add .
git commit -m "Live Ozan Radio — DeepSeek DJ + Lyria 3"
git push -u origin main
```

3. Preview the player: `https://tinqs.com/tinqs/live-ozan-radio/src/branch/main/gateway/player.html` (static shell; audio streams from your running server).

## Agent usage

DeepSeek (Pi, Cursor, Claude Code) can operate the station via HTTP or the skill in `.cursor/skills/ozan-radio/SKILL.md`.

## License

Apache 2.0 — same spirit as Magenta RealTime 2 open weights.