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

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Sebastjan Artič 16c332b490 Save → avto-upload v Nextcloud → reel izgine iz seznama User feedback: 'zaenkrat bomo ročno popravljali in pregledovali. Ko kliknemo Save potem se shrani v pravi folder in izgine.' Workflow: 1. User izbere TV postajo (zavihek) 2. Naloži komade 3. Reel se renderira (auto chorus) 4. User pregleda + Edit če treba 5. Save → re-render z user popravki 6. Po končanem re-render: AVTO-upload v Nextcloud /folxspeed/REELS/{station}/ 7. Reel IZGINE iz seznama (hidden_after_upload flag) Backend changes: - RecutRequest: nov field auto_upload (default True) - update_job: shrani auto_upload_to_nextcloud - process_job done block: če flag set + Nextcloud configured → upload + nextcloud_status='uploaded' + hidden_after_upload=True Frontend changes: - refreshJobs: filter out jobs with hidden_after_upload - TV station badge na vsaki kartici (z emoji + ime postaje) - Vidiš na prvi pogled kam bo šlo Workflow rezultat: po Save reel izgine, je avtomatsko v pravi mapi		2026-04-30 14:53:01 +00:00
app	Save → avto-upload v Nextcloud → reel izgine iz seznama	2026-04-30 14:53:01 +00:00
scripts	Edit feature: slider + napis edit + recut endpoint	2026-04-30 10:26:25 +00:00
templates	Save → avto-upload v Nextcloud → reel izgine iz seznama	2026-04-30 14:53:01 +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)