# Reels Clipper · biba.live

Self-hosted Opus Clip alternativa za FOLX TV / PTC.
Pretvori 16:9 video v 9:16 reels/shorts/tiktok format z auto face tracking, podnapisi (sl/de/en) in **avto-detekcijo refrena** v glasbenih pesmih.

## Features

- 📤 **Drag & drop upload** (do 2 GB)
- 📺 **YouTube URL paste** (yt-dlp)
- 🎯 **Smart reframe**: track (face follow), center, blur (za glasbo)
- 🎵 **Auto-chorus detection** (Whisper + energy hibrid)
- 📝 **Burned-in podnapisi** (faster-whisper, multi-jezik)
- 🎨 **3 stili podnapisov**: reels, yellow (MrBeast), minimal
- 🔐 **HTTP Basic Auth**
- 📊 **Real-time progress** (Server-Sent Events)
- 📦 **Docker / Coolify ready**

## Quick start (lokalno)

```bash
docker compose up --build
# odpri http://localhost:8000
```

Default login: `sebastjan` / nastavi `AUTH_PASS` v `.env`.

## Coolify deploy

1. V Coolify ustvari nov projekt → **Docker Compose** iz tega repoja
2. Domena: `reels.biba.live`
3. Env vars:
   ```
   AUTH_USER=sebastjan
   AUTH_PASS=<močno geslo>
   MAX_UPLOAD_MB=2000
   ```
4. Volume `reels_data` se ustvari avtomatsko
5. Deploy → Coolify postavi Traefik reverse proxy + SSL via Let's Encrypt

## Pipeline

```
Upload / YouTube
       ↓
[ yt_download.py ]    ← samo če YouTube
       ↓
[ find_chorus.py ]    ← samo če auto_chorus=true (Whisper + RMS analiza)
       ↓
[ reframe.py ]        ← 16:9 → 9:16 (track / center / blur)
       ↓
[ subtitle.py ]       ← Whisper transkripcija + burn-in
       ↓
   reel.mp4
```

## API

- `POST /api/upload` — multipart file upload, vrne `job_id`
- `POST /api/youtube` — JSON `{url, mode, lang, ...}`
- `POST /api/process` — start processing za uploaded job
- `GET /api/jobs` — list vseh
- `GET /api/jobs/{id}` — status
- `GET /api/stream/{id}` — SSE stream progress
- `GET /api/download/{id}` — final reel
- `DELETE /api/jobs/{id}` — pobriši

## Dependencies

- FFmpeg (system)
- faster-whisper (transkripcija)
- OpenCV (face detection)
- yt-dlp (YouTube)
- FastAPI + uvicorn (server)