LLM Podcast Explorer

Explore the Big Picture Behind Every Podcast

Podcasts are full of ideas, connections, and themes—but they’re not always easy to navigate. Podcasts Unraveled helps you break down, explore, and visualize the hidden patterns inside your favorite shows.

✨ Discover the core themes – See what a podcast is really about.

🔗 Follow the connections – Trace how episodes link together.

🚀 Find the best episodes – Get straight to the topics that matter to you.

🎧 Start Unraveling Now!

How to explore:

This application uses AI (OpenAI Embeddings and gpt-4o-mini) to analyse the rss feed. To avoid costs open podcast search is disabled at the moment.

• Selected podcasts are available on https://podcasts-unraveled.streamlit.app/
• Run the application yourself for full flexibility: Project Setup Guide
  • Attention: OpenAI API Key is needed
• You can also create an issue to request additional podcasts on the website

Project Setup Guide

This guide will help you set up the LLM Podcast Explorer project using uv. Follow the steps below to get started.

Prerequisites

Before you begin, ensure you have the following installed on your system:

• Python 3.8 or higher
• uv package
• pip (Python package installer)
• git (version control system)

Installation Steps

1. Clone the Repository

   Open your terminal and run the following command to clone the repository:

   git clone https://github.com/yourusername/llm-podcast-explorer.git
   cd llm-podcast-explorer

2. Create a Virtual Environment

   It is recommended to create a virtual environment to manage dependencies. Run the following commands:

   python3 -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install Dependencies

   Install the required packages using uv:

   uv pip install -r pyproject.toml

4. Run the streamlit app

   With static data:

   ANALYSIS_MODE=static streamlit run llm_podcast_explorer/streamlit_app.py

   Active analyis mode:

   Requires valid openai api key: https://platform.openai.com/account/api-keys

   ANALYSIS_MODE=active, OPENAI_API_KEY=<apikey> streamlit run llm_podcast_explorer/streamlit_app.py

   This will start the development server and you can access the application at http://127.0.0.1:8501.

Contributing

If you would like to contribute to this project, please fork the repository and create a pull request. We welcome all contributions!

License

This project is licensed under the MIT License. See the LICENSE file for more details.