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Self-hosted Opus Clip alternative — reels.biba.live
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Python 77.3%
HTML 22.4%
Dockerfile 0.3%
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Sebastjan Artič 3877b822ff Smart download filenames: 'Artist - Title - REEL.mp4' + validation 
Two improvements:

1. DOWNLOAD FILENAME: instead of 'reel_<job-id>.mp4' (e.g. reel_25e076af7600.mp4),
   downloads now have descriptive names like:
   - 'Lady Gaga - Abracadabra - REEL.mp4'
   - 'Modrijani - S teboj - REEL.mp4'
   - 'Sarah Connor - FICKA - REEL.mp4'

2. PRE-UPLOAD VALIDATION: when filename doesn't follow 'Artist - Title' format,
   browser prompts user for both fields. Without them, upload is blocked.
   This prevents files with names like '12345.mp4' or 'video_final.mp4' from
   being processed without identifying info.

Implementation:
- parse_artist_title() helper handles common formats:
  - 'Artist - Title.mp4' / 'Artist – Title' (em-dash)
  - 'Artist | Title' / 'Artist : Title'
  - Strips noise: '(Official Music Video)', '(Audio)', '(HD)', '[Lyric Video]'
- Client-side parser mirrors backend (validation before upload)
- Backend accepts artist + title form fields (override parsed)
- Job stored with parsed_artist + parsed_title + has_clean_name fields
- YouTube jobs auto-fetch title via yt-dlp --info-only and parse it
- Filename hint to Scribe/Claude uses parsed values (cleaner than raw filename)
- Download endpoint uses build_download_filename() for content-disposition
- Jobs list shows 'Artist — Title' instead of raw filename

Result: downloaded reels are auto-named correctly for Facebook/Instagram
upload, no more renaming files manually.
2026-04-29 14:15:18 +00:00
app Smart download filenames: 'Artist - Title - REEL.mp4' + validation 2026-04-29 14:15:18 +00:00
scripts Strict 'chorus only' mode: respect include_prebuild in LLM prompt 2026-04-29 14:03:40 +00:00
templates Smart download filenames: 'Artist - Title - REEL.mp4' + validation 2026-04-29 14:15:18 +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 Upgrade yt-dlp to nightly for new YouTube nsig algorithm support 2026-04-28 15:48:39 +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)