Self-hosted Opus Clip alternative — reels.biba.live

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OpenClaw Agent 0ca33be6ac Fix: clip_range source dynamic from LLM result instead of hardcoded 'claude' Diagnoza: - analyze.py je zgodovinsko imel samo Claude support - ko se je dodal Gemini, je clip_range.source ostal hardcoded 'claude' - prav tako log 'Whisper segmenti zamenjani s Claude' in 'Generated SRT from Claude' - API rezultat je v jobu kazal source='claude' tudi ko je dejansko bil uporabljen Gemini - to je samo COSMETIC bug — funkcionalno je vse delovalo pravilno - Gemini se DEJANSKO klical (potrjeno: '🤖 Gemini (gemini-3.1-pro-preview) izbral: 172.5-201.8s') in vrnil pravilen rezultat — samo logging je rekel napačno Popravki: 1. clip_range['source'] = claude_result['source'] (dejansko 'gemini:...' ali 'claude:...') 2. clip_range['reason'] prefix iz hardcoded 'claude_llm:' v dinamičen '{source}:' 3. Log 'Whisper segmenti zamenjani s Claude' → 'z {llm_label}' 4. Log 'Claude je popravil jezik' → 'LLM je popravil' 5. main.py 'Generated SRT from Claude' → 'from {llm_src}' Test (Zlati Muzikanti - Le prijatelja bodiva, valček, 246s): ✓ Gemini dejansko izbere refren (172.5-201.8s) ✓ Whisper detektira sl (p=0.97 across 3 samples) ✓ Vseh 18 segmentov popravljenih ✓ Pipeline end-to-end deluje Backward compat: - transcript['claude_corrected'] in srt_from_claude variable name ohranjena ker že obstajajo v starih job state fajlih		2026-04-29 09:49:58 +00:00
app	Fix: clip_range source dynamic from LLM result instead of hardcoded 'claude'	2026-04-29 09:49:58 +00:00
scripts	Fix: clip_range source dynamic from LLM result instead of hardcoded 'claude'	2026-04-29 09:49:58 +00:00
templates	Upgrade to Sonnet 4.6 + add Gemini 3.1 Pro support	2026-04-29 08:26:27 +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

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_data se 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, 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)