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

MIT License