Self-hosted Opus Clip alternative — reels.biba.live
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Claude 2fcc4b8075 Dashboard: TV station filter tabs nad jobs-list
- Tabi: Vse / FOLX SLOVENIJA / FOLX DE / ONE DE / ZWEI MUSIC / ADRIA / (brez postaje)
- Števec na vsakem tabu = število NEPOTRJENIH jobov (!hidden_after_upload) za to postajo
- Klik na tab = filter samo tisti station, samo nepotrjeni
- 'Vse' = vsi nepotrjeni (kot do zdaj)
- '(brez postaje)' tab se skrije, če ni jobov brez postaje
- Persist v localStorage (reels_jobs_station_filter)
- Iskanje IGNORIRA station filter (vrne tudi naložene + vse postaje)
- Empty state sporočilo prilagojeno glede na izbran filter
2026-05-03 12:48:31 +00:00
app S3 mirror integration: workfiles auto-mirror to s3://folxspeed/reels-app/ 2026-05-03 12:24:18 +00:00
scripts YT metadata fetch: razširi --info-only output (id, uploader, description, upload_date, view_count, tags, ...). Single video submit fetcha metadata + Qnet match takoj (kot playlist). Worker preskoči info fetch če metadata že obstaja, sicer shrani vsa polja in naredi Qnet match. 2026-05-02 15:54:28 +00:00
templates Dashboard: TV station filter tabs nad jobs-list 2026-05-03 12:48:31 +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 Qnet song match — fetcha Songs.txt iz 5 MB playerjev (FOLX DE/SLO, ZWEI, ONE, ADRIA), 20K+ songs, fuzzy match na upload-u → clean parsed_artist/parsed_title + auto tv_station. /api/qnet/{stats,match,sync} 2026-05-02 10:42:35 +00:00
README.md Initial: reels clipper app 2026-04-28 15:28:22 +00:00
requirements.txt S3 storage module: boto3 abstraction for reels-app workfiles (uploads/outputs/jobs prefixes) 2026-05-03 11:57:12 +00:00

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)