Self-hosted Opus Clip alternative — reels.biba.live
User: 'zakaj se je ustavilo? Naložil sem več kot 70.' Diagnoza: 12/70+ je prišlo do server-ja (vsi 200 OK). Browser-side problem: en upload je stuck → cel for-loop blokiran. Fixes: 1. xhr.timeout = 10min per file (prej: večnost) 2. xhr.ontimeout, xhr.upload.ontimeout — proper error handling 3. NEW: uploadFileWithRetry() — 2x retry z 2s/4s eksponentnim delay-om za očasne mrežne odpovedi 4. Catch v loop ne kliče liveFail() (kar bi naredil disabled submit-btn) ampak samo showLive() z 'preskočil' sporočilo → loop nadaljuje 5. Console.warn v retry attempts za debugging Sedaj če eno failes: - Retry 2x avtomatsko (2s + 4s delay) - Če še vedno ne uspe → preskoči to datoteko, nadaljuj z naslednjo - Pri koncu vidiš katere so failed (v console + showLive) |
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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)