sebastjan/reels-app
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Self-hosted Opus Clip alternative — reels.biba.live
74 Commits 1 Branch 0 Tags 3.3 MiB
Python 77.3%
HTML 22.4%
Dockerfile 0.3%
d8c2aae9c1
Go to file
Sebastjan Artič d8c2aae9c1 Prompt: chorus must start on FIRST WORD of FIRST LINE 
User feedback after re-processing 14 reels:
- 8 perfect (BRAJDE 100%, FICKA, Abracadabra, Žena, Stisn, PA PA,
  Gojzar tanc, GADI Pijan)
- 4 problematic patterns identified:
  1. CVETELE: clip extends 22s into instrumental on 'nekoč oba' hold
  2. GORENJSKA LJUBLJENA: clip starts mid-line at 'obrnem nazaj'
     instead of 'V Ljubljani se obrnem nazaj'
  3. Fantje: clip starts mid-chorus at 'vabijo me' (2nd line)
     instead of first line
  4. PODEŽELSKI: extends into 'o o o' outro filler

Common cause: Soniox can group end-of-verse + start-of-chorus into
same segment (e.g., '[43.6-47.6] doma. V Ljubljani se'), and Claude
picks segment.start (43.6) or next segment.start (48.2) instead of
the actual word 'V' boundary inside the segment.

Prompt fix:
1. NEW critical rule: 'clip start = TOČNO prva beseda PRVE vrstice'
2. Warning about Soniox merging end-of-verse + start-of-chorus
3. Use word-level timestamps to find chorus start word
4. Warning about long held tones in Soniox segments (15-20s on
   'oba', 'doma', 'srca' due to fade-out instrumental)
5. Cut 1-2s after last sung word, don't wait 20s for tone to die
6. Outro filler: include short outros (yeah/aj-aj), but cut before
   long repeating outros (5+s of 'o o o') as those are fade-out

Added concrete examples in PRIMERI:
- BRAJDE: 28s (already perfect)
- GORENJSKA: explicit warning about 'V Ljubljani se' boundary
- CVETELE: explicit warning about 15-20s held tone segments

This is a prompt-only change. No code logic modified.
LLM still has full autonomy on duration.
2026-04-30 05:19:35 +00:00
app Fix SRT subtitle timing: use word-level timestamps for chunk boundaries 2026-04-30 04:02:09 +00:00
scripts Prompt: chorus must start on FIRST WORD of FIRST LINE 2026-04-30 05:19:35 +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)