Video transcription utilizing Speaker Diarization with Pyannote and Whisper.cpp
Uses yt-dlp to download and convert media, Whisper.cpp to transcribe audio, and then performs speaker diarization with Pyannote.
Set HF_TOKEN (Hugging Face token) and VIDEO_URL environment variables in docker-compose.yml, and then run main.py with docker compose up.
The large whisper model is automatically downloaded, but this can be adjusted in the Dockerfile.
Performance for diarization seems to be improved when segment length for whisper is decreased, such as --max-len 50.