Claude
0d72d70f5d
- main.py: 4 helper funcs (_persist_to_s3, _ensure_local, _delete_from_s3, _ffmpeg_then_persist) - no-op fallback when S3 creds missing - save_job(): mirror metadata JSON to S3 - process_job(): mirror YT download + render output + analysis/srt/ass to S3 - upload_video(): mirror direct uploads to S3 - _precache_edit_assets(): Popen->threaded with S3 sync after ffmpeg - read endpoints (download, preview, source_video, waveform, preview_clip, get_transcript, recut_job): _ensure_local() fallback fetch from S3 - delete_job(): cascade delete to S3 (mirror unlink) - cleanup.py: NEW module, deletes local files >48h that exist in S3. Verified by S3 head_object + size match. NOT YET ACTIVATED in cron. Backward compat: lokalna mapa ostane primary. Brez env vars S3_* vsi helperji vrnejo False (no-op). Production behavior identičen, dokler ne dobi S3 creds.
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_datase 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, vrnejob_idPOST /api/youtube— JSON{url, mode, lang, ...}POST /api/process— start processing za uploaded jobGET /api/jobs— list vsehGET /api/jobs/{id}— statusGET /api/stream/{id}— SSE stream progressGET /api/download/{id}— final reelDELETE /api/jobs/{id}— pobriši
Dependencies
- FFmpeg (system)
- faster-whisper (transkripcija)
- OpenCV (face detection)
- yt-dlp (YouTube)
- FastAPI + uvicorn (server)