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

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Claude 2abd9daae1 Fix CP1250 encoding bug v sync_qnet.py — È→Č PROBLEM: Songs.txt na MB Windows playerjih je v CP1250 (slovenski/CEE), NE Windows-1252 (Western European). iconv -f WINDOWS-1252 je 'Č' (0xC8) napačno interpretiral kot 'È', zaradi česar je 811 zapisov v Qnet bazi imelo 'È' namesto 'Č' (npr. 'POSKOÈNI', 'ÈAS ZA ZABAVO', 'STORŽIÈ'). Posledica: ko je qnet_match povezal job na napačno labeliran zapis, je 'parsed_title' polnil z mojibake iz Qnet baze (15 jobov). FIX: WINDOWS-1252 → WINDOWS-1250. Razlike v CP1250 vs CP1252 (slovanske črke): Č↔È, č↔è, Ć↔Æ, ć↔æ, Đ↔Ð, đ↔ð, Ń↔Ñ, Ł↔£, ł↔³, Ś↔Œ, ś↔œ, ź↔Ÿ Ž, š, ž — ostanejo (isti byte v obeh) BACKFILL (ločen skript, že apliciran): - Qnet lookup: 2746 polj v 20860 zapisih popravljenih - Qnet songs.json: 2856 polj - 15 jobov: parsed_artist/title popravljen na pravilen UTF-8		2026-05-03 14:32:25 +00:00
app	Fix parse_artist_title (ANS.* bug) + unify station naming na FOLX SLO	2026-05-03 14:26:42 +00:00
scripts	Fix CP1250 encoding bug v sync_qnet.py — È→Č	2026-05-03 14:32:25 +00:00
templates	Fix parse_artist_title (ANS.* bug) + unify station naming na FOLX SLO	2026-05-03 14:26:42 +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	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

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)