Repository files navigation

YouTube contains an incredible amount of knowledge, much of which is locked inside multi-hour videos. Let's extract and summarize with AI!

• diarize.py - download, transrcibe and diarize audio

  • yt-dlp - download audio tracks of youtube videos
  • ffmpeg - decompress audio
  • faster_whisper - speech to text
  • pyannote - diarization

• chunker.py - break text into parts and prepare each part for LLM summarization

• roller-*.py - rolling summarization

  • can-ai-code - interview executors to run LLM inference

• compare.py - prepare LLM outputs for webapp

• compare-app.py - summary viewer webapp

This project is under active development and is not ready for production use.