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Self-hosted Opus Clip alternative — reels.biba.live
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Sebastjan Artič 22bb3cfe02 Trust LLM: remove forced extension, content-driven prompt 
User feedback: 'Tikaj more llm razmislat in ineti filing kaj dat notri'.
With Soniox transcript now accurate, LLM has all info to decide content-wise.

TWO CHANGES:

1. smart_clip_range() — REMOVED forced extension logic:
   Before: if duration < min_duration (20s):
       - extend to next chorus (40% match) ← WRONG! merged with B-chorus
       - extend symmetrically into VERSE ← WRONG! brought in kitica
       - cap at max_duration
   After: trust LLM completely. Only safety: clamp to video bounds.

2. Prompt rewrite — content-driven instead of number-driven:
   Before: 'Skupna dolžina: 12-25 sekund (običajno)' + conflicting '~30s'
           '❌ Drugi/tretji nastop refrena — uporabi PRVI'
   After: '~30 sekund (NAJBOLJŠA opcija = dva zaporedna refrena)'
          'Vključi naravne intro klice (Ajmo Janezi! Hey! Pa-pa!)'
          'BRAJDE primer: 41.8-69.8s = 28s (dva refrena z Ajmo Janezi intro)'
          'NE meša 2 RAZLIČNA refrena (A + B = napaka)'
          'NE razširi v VERZE/KITICE'

For BRAJDE this means:
- Old: Claude picked 57.1-69.8s (12.7s, 2nd chorus, no Ajmo)
       Code forced extension to 57.06-82.5s (mixed with B-chorus + verse)
- New: Claude picks 41.8-69.8s (28s, 2 choruses with 'Ajmo Janezi!' intro)
       Code returns exactly that — no forced extension.
2026-04-30 04:39:26 +00:00
app Fix SRT subtitle timing: use word-level timestamps for chunk boundaries 2026-04-30 04:02:09 +00:00
scripts Trust LLM: remove forced extension, content-driven prompt 2026-04-30 04:39:26 +00:00
templates Default 'no subtitles' mode: cleaner reels without text issues 2026-04-29 19:38:35 +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 ACRCloud auto-recognition: never block uploads, fall back to fingerprinting 2026-04-29 14:24:53 +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)