Self-hosted Opus Clip alternative — reels.biba.live

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Sebastjan Artič f2034f9970 Dedup: SQLite baza za že obdelane komade User feedback: 'dodaj da če čekira in shranjuje že obdelani komadi v SQL bazo, da če nalagamo komad ki smo ga že naložili da ga ne naloži' NEW: SQLite dedup database at /data/processed.db Schema: processed_videos - normalized_name (PK part 1) - tv_station (PK part 2) — isti komad lahko obstaja na različnih postajah - filename_orig - job_id - nextcloud_url - file_size_mb - uploaded_at Filename normalization removes noise: 'BRAJDE (Official Video).mp4' → 'brajde' 'Brajde (HD).mxf' → 'brajde' 'BRAJDE - LIVE 2024.mp4' → 'brajde' (strips parentheses, suffixes like Official/HD/4K/Live, extension, lowercase) NEW endpoints: - POST /api/dedup/check — preveri katera imena so že obdelana - POST /api/dedup/remove — pobriše dedup zapis (Re-process) - GET /api/dedup/list — seznam vseh obdelanih (opt. filter po tv_station) Integration: - Nextcloud upload (manual + auto): zabeleži v dedup po uspešnem PUT - File queue (frontend): pred dodajanjem preveri dedup → prikaže rdeč warning '⚠ Že naložen na ONE DE (29.4.2026) — Re-process' → opacity 0.6 (vizualno blediji) → submit jih SKIP-a (osim če 'Re-process' kliknil)		2026-04-30 15:00:10 +00:00
app	Dedup: SQLite baza za že obdelane komade	2026-04-30 15:00:10 +00:00
scripts	Edit feature: slider + napis edit + recut endpoint	2026-04-30 10:26:25 +00:00
templates	Dedup: SQLite baza za že obdelane komade	2026-04-30 15:00:10 +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

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_data se 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, 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)