Sebastjan Artič
30b969e4b8
- FastAPI backend (auth, jobs, SSE, download) - Frontend: drag&drop + YouTube URL + jobs panel - Pipeline: yt_download → find_chorus → reframe → subtitle - Modes: track (face follow), center, blur - Whisper for SI/DE/EN subtitles - Auto-chorus detection via Whisper + RMS energy - Docker + Coolify ready
74 lines
2.0 KiB
Markdown
74 lines
2.0 KiB
Markdown
# Reels Clipper · biba.live
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Self-hosted Opus Clip alternativa za FOLX TV / PTC.
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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.
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## Features
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- 📤 **Drag & drop upload** (do 2 GB)
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- 📺 **YouTube URL paste** (yt-dlp)
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- 🎯 **Smart reframe**: track (face follow), center, blur (za glasbo)
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- 🎵 **Auto-chorus detection** (Whisper + energy hibrid)
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- 📝 **Burned-in podnapisi** (faster-whisper, multi-jezik)
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- 🎨 **3 stili podnapisov**: reels, yellow (MrBeast), minimal
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- 🔐 **HTTP Basic Auth**
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- 📊 **Real-time progress** (Server-Sent Events)
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- 📦 **Docker / Coolify ready**
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## Quick start (lokalno)
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```bash
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docker compose up --build
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# odpri http://localhost:8000
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```
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Default login: `sebastjan` / nastavi `AUTH_PASS` v `.env`.
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## Coolify deploy
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1. V Coolify ustvari nov projekt → **Docker Compose** iz tega repoja
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2. Domena: `reels.biba.live`
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3. Env vars:
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```
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AUTH_USER=sebastjan
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AUTH_PASS=<močno geslo>
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MAX_UPLOAD_MB=2000
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```
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4. Volume `reels_data` se ustvari avtomatsko
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5. Deploy → Coolify postavi Traefik reverse proxy + SSL via Let's Encrypt
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## Pipeline
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```
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Upload / YouTube
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↓
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[ yt_download.py ] ← samo če YouTube
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↓
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[ find_chorus.py ] ← samo če auto_chorus=true (Whisper + RMS analiza)
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↓
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[ reframe.py ] ← 16:9 → 9:16 (track / center / blur)
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↓
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[ subtitle.py ] ← Whisper transkripcija + burn-in
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↓
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reel.mp4
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```
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## API
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- `POST /api/upload` — multipart file upload, vrne `job_id`
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- `POST /api/youtube` — JSON `{url, mode, lang, ...}`
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- `POST /api/process` — start processing za uploaded job
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- `GET /api/jobs` — list vseh
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- `GET /api/jobs/{id}` — status
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- `GET /api/stream/{id}` — SSE stream progress
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- `GET /api/download/{id}` — final reel
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- `DELETE /api/jobs/{id}` — pobriši
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## Dependencies
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- FFmpeg (system)
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- faster-whisper (transkripcija)
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- OpenCV (face detection)
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- yt-dlp (YouTube)
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- FastAPI + uvicorn (server)
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