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

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Sebastjan Artič a30137f1f2 Strict 'chorus only' mode: respect include_prebuild in LLM prompt Bug: 'Vključi pre-chorus' checkbox in UI was sent to backend but ignored by Claude/Gemini analysis prompt. Both modes used same lenient rules saying 'pre-chorus is optional' — Claude often included pre-chorus even when user wanted just chorus. Real-world failure: Lady Gaga 'Abracadabra' picked 54.7-84.6s, but actual chorus 'Abracadabra, amor, ooh-na-na' starts at 85.2s. Claude included the entire pre-chorus block ('Hold me in your heart tonight', 'Like a poem said by a lady in red', 'With a haunting dance') and missed the actual chorus completely. Fix: include_prebuild parameter now flows all the way to the prompt: - main.py → analyze.py CLI args → analyze_with_llm() → prompt builder - Two distinct prompt rule sets: CHORUS ONLY (default, include_prebuild=False): - Strict: 'clip starts on FIRST WORD of chorus, never before' - Length: 12-25s typically - Explicit examples for pop songs (Abracadabra, Despacito, Shape of You) - List of common mistakes to avoid CHORUS + PRE-CHORUS (include_prebuild=True): - Optional pre-chorus before chorus, 4-10s - Length: 18-35s This fixes the most common failure mode where Claude rationalizes including verse/pre-chorus content even when user explicitly wants just the chorus.		2026-04-29 14:03:40 +00:00
app	Integrate ElevenLabs Scribe (best multilingual STT 2026)	2026-04-29 12:03:40 +00:00
scripts	Strict 'chorus only' mode: respect include_prebuild in LLM prompt	2026-04-29 14:03:40 +00:00
templates	Fix Preview button in jobs sidebar not opening modal	2026-04-29 13:39:04 +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)