reels-app/requirements.txt
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

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fastapi==0.115.0
uvicorn[standard]==0.32.0
python-multipart==0.0.12
pydantic==2.9.2
faster-whisper==1.0.3
opencv-python-headless==4.10.0.84
numpy==1.26.4
yt-dlp>=2025.10.0
pyacrcloud==1.0.11