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Self-hosted Opus Clip alternative — reels.biba.live
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Claude 0d72d70f5d S3 mirror integration: workfiles auto-mirror to s3://folxspeed/reels-app/ 
- 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.
2026-05-03 12:24:18 +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 UI: Nextcloud gumb \u2014 optimistic feedback. Takoj ob kliku gumb postane oran\u017een "\u23f3 Po\u0161iljam...", disabled, cursor:wait. Po uspe\u0161nem upload-u refreshJobs() zamenja v zelen \u2713 Nextcloud. Pri napaki vrne original state. 2026-05-03 12:27:24 +02:00
.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

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)