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Self-hosted Opus Clip alternative — reels.biba.live
114 Commits 1 Branch 0 Tags 3.3 MiB
Python 77.3%
HTML 22.4%
Dockerfile 0.3%
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Sebastjan Artič f5ef136bf4 Marker center = ORIGINAL clip center (not dynamic) 
User: 'če razširim zoom in podaljšam komad potem polovica ni več tam
kjer je reel IN in tam kjer je OUT. Naj se program drži polovice
avtomatično narejenega reela'

Pred (bug):
  center = (trimStart + trimEnd) / 2  # dynamic
  Ko user razširi clip 60-90 → 50-110:
    nov center = 80 (prej 75)
    Klik pri 78s → IN (čeprav user mislil OUT!)

Po (fix):
  initialCenter = (startInit + endInit) / 2  # FIKSEN, izračunan ob open
  Original LLM center se NE spreminja
  Klik pri 78s vedno → OUT (če je 78 > 75)
  Klik pri 70s vedno → IN

Ne glede koliko user razširi/oža clip, marker assignment uporablja
fiksno 'sredino' originalnega LLM-jevega clipa.

Tudi drag handle: če marker zaide čez initialCenter → reset na trim border.
2026-05-02 07:53:44 +00:00
app Toggle 'Pokaži tudi že naložene' + recut prepiše Nextcloud 2026-05-02 07:23:03 +00:00
scripts Edit feature: slider + napis edit + recut endpoint 2026-04-30 10:26:25 +00:00
templates Marker center = ORIGINAL clip center (not dynamic) 2026-05-02 07:53:44 +00:00
.env.example Initial: reels clipper app 2026-04-28 15:28:22 +00:00
.gitignore Initial: reels clipper app 2026-04-28 15:28:22 +00:00
docker-compose.yml Initial: reels clipper app 2026-04-28 15:28:22 +00:00
Dockerfile Add Deno runtime for yt-dlp YouTube nsig challenge solving 2026-04-28 16:05:09 +00:00
README.md Initial: reels clipper app 2026-04-28 15:28:22 +00:00
requirements.txt Nextcloud upload za FOLX SLOVENIJA reels 2026-04-30 14:23:15 +00:00

README.md

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

  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)