smol-podcaster

We use smol-podcaster to take care of most of Latent Space transcription work. What it will do for you:

• Generate a clean, diarized transcript of the podcast with speaker labels and timestamps
• Generate a list of chapters with timestamps for the episode
• Give you title ideas based on previous ones (modify the prompt to give examples of your own, it comes with Latent Space ones)
• Give you ideas for tweets to announce the podcast

To run:

python smol-podcaster.py AUDIO_FILE_URL GUEST_NAME

The URL needs to be a direct download link, it can't be a GDrive. For files <100MB you can use tmpfiles.org, otherwise Dropbox. For example:

python smol-podcaster.py "https://dl.dropboxusercontent.com/XXXX" "Tianqi"

To get the Dropbox direct download just switch https://www.dropbox.com to https://dl.dropboxusercontent.com in the link. Our studio uses Dropbox for file sharing, which is why it's built this way.

Environment Setup

Activate virtualenv with

source venv/bin/activate

Install dependencies with

pip install -r requirements.txt

Make a copy of the .env.sample and replace it with your keys:

mv .env.sample .env

Run with the command above

License

MIT License