Self-hosted Opus Clip alternative — reels.biba.live
User feedback: 'načeloma bi se moral samo če kaj spregledamo in že sejvamo pa ne moremo nazaj vrniti in popraviti' Frontend: - Nov toggle '☁ Pokaži tudi že naložene' nad 'moji reels' headerjem - Default OFF: vidiš samo aktivne (ki niso uploaded) - ON: vidiš VSE, vključno z uploaded (z zelenim borderjem) - buildJobEl: uploaded reels imajo border-left zelen + bg #4ade80 0.04 opacity - Listener: change event sproži refreshJobs() Backend: - recut endpoint: reset hidden_after_upload=false, nextcloud_status='recutting' - Po končanem recut: avto-upload na Nextcloud (PUT prepiše obstoječi file) - Hidden_after_upload=true spet po uspešnem re-uploadu Workflow: 1. Reel uploaded → hidden, ni v UI 2. Klik toggle 'Pokaži tudi že naložene' → vidiš ga (zelen border) 3. Edit → Save → re-render (visible spet, status='processing') 4. Re-upload PUT na Nextcloud → prepiše obstoječi file (ista pot, isto ime) 5. Hidden=true → izgine spet (osim če toggle on) |
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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)
docker compose up --build
# odpri http://localhost:8000
Default login: sebastjan / nastavi AUTH_PASS v .env.
Coolify deploy
- V Coolify ustvari nov projekt → Docker Compose iz tega repoja
- Domena:
reels.biba.live - Env vars:
AUTH_USER=sebastjan AUTH_PASS=<močno geslo> MAX_UPLOAD_MB=2000 - Volume
reels_datase ustvari avtomatsko - 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, vrnejob_idPOST /api/youtube— JSON{url, mode, lang, ...}POST /api/process— start processing za uploaded jobGET /api/jobs— list vsehGET /api/jobs/{id}— statusGET /api/stream/{id}— SSE stream progressGET /api/download/{id}— final reelDELETE /api/jobs/{id}— pobriši
Dependencies
- FFmpeg (system)
- faster-whisper (transkripcija)
- OpenCV (face detection)
- yt-dlp (YouTube)
- FastAPI + uvicorn (server)