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

Go to file

Sebastjan Artič b543057cee ACRCloud auto-recognition: never block uploads, fall back to fingerprinting Changes: 1. UI: removed blocking prompt() that asked for artist+title on filename that didn't match 'Artist - Title' pattern. Upload always proceeds. Instead shows yellow warning saying 'server will try to recognize'. 2. Backend: added scripts/acr_recognize.py — extracts 20s audio sample from video (at 15s and 60s offsets for robustness), computes ACRCloud fingerprint via native binary (3KB payload), sends to identify API. 3. Pipeline: process_job() now runs ACR recognition step before analysis IF parsed_artist or parsed_title is missing. Result is saved to job metadata and used for download filename + Scribe/Claude filename hint. 4. Credentials: ACR_HOST + ACR_ACCESS_KEY + ACR_SECRET_KEY env vars added to Coolify (using existing keys from openclaw fb-agent metka). 5. requirements.txt: added pyacrcloud==1.0.11 for native fingerprinting. This unblocks future automation/cron upload pipelines — files don't need to be perfectly named, ACRCloud will identify them automatically. Fallback chain: 1. Filename parsing (Artist - Title.mp4) 2. ACRCloud audio fingerprint (works even for '12345.mp4', 'IMG_001.mp4') 3. If both fail: download filename uses 'reel_<id>.mp4' (still works)		2026-04-29 14:24:53 +00:00
app	ACRCloud auto-recognition: never block uploads, fall back to fingerprinting	2026-04-29 14:24:53 +00:00
scripts	ACRCloud auto-recognition: never block uploads, fall back to fingerprinting	2026-04-29 14:24:53 +00:00
templates	ACRCloud auto-recognition: never block uploads, fall back to fingerprinting	2026-04-29 14:24:53 +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

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)