hijm / podcast-chapterization

Use AssemblyAI's Auto Chapters model and Listen Notes to generate chapters for your favorite podcasts.

Podcast Chapterization

Description

With this application, you can use AssemblyAI's Auto Chapters model to automatically create logical chapters for your favorite podcasts. This "summary over time" will create logical chapters as the topic of conversation changes.

Check out this YouTube tutorial to learn more about this application and how to run it locally.

To Run

• Download project files by running git clone https://github.com/AssemblyAI/podcast-chapterization.git
• Navigate to the project folder
• Ensure that Streamlit and other project dependencies are installed
• Add your AssemblyAI and Listen Notes API keys to the api_secrets.py file
• Run the application using the streamlit run app.py

How it works

We start by working with the Listen Notes API to download podcast information. We then use the AssemblyAI API and the Auto Chapters feature to transcribe the podcast and generate chapters for us. When then iterate over that data to display information in the browser using Streamlit.