This repo contains the files that are created as a result of running OpenAI's Whisper project on a video's audio (Ben Holmes' interview with Dan Abramov about React Server components). Below are instructions on how to use Whisper.

1. Install pyenv
2. Install pyenv-virtualenv
3. Install Python 3.10.9: pyenv install 3.10.9
4. Setup a virtual envirnment for this project: pyenv virtualenv 3.10.9 whisper
5. use this virutalenv for this folder: cd to this directory and run pyenv local whisper you should now see (whisper) before your command prompt

1. Install ffmpeg

   Operating System	Installation Instructions
   macOS	Install Homebrew then run: brew install ffmpeg in a terminal
   Linux (Debian)	Run sudo apt update && sudo apt install ffmpeg in a terminal
   Windows	Install Chocolatey then run: choco install ffmpeg in a terminal

2. Install the whisper python library: pip install git+https://github.com/openai/whisper.git

1. run whisper PATH/TO/audio.wav

ffmpeg -i <infile> -ac 2 -f wav <outfile>

• https://mattcarrollcode.com/blog/transcribing-audio-with-openai-whisper
• https://www.assemblyai.com/blog/how-to-run-openais-whisper-speech-recognition-model/
• https://github.com/openai/whisper