podcast-llm 0.2.2

An intelligent system that automatically generates engaging podcast conversations using LLMs and text-to-speech technology.

Podcast-LLM: AI-Powered Podcast Generation

An intelligent system that automatically generates engaging podcast conversations using LLMs and text-to-speech technology.

View Documentation

Features

• Two modes of operation:
  • Research mode: Automated research and content gathering using Tavily search
  • Context mode: Generate podcasts from provided source materials (URLs and files)
• Dynamic podcast outline generation
• Natural conversational script writing with multiple Q&A rounds
• High-quality text-to-speech synthesis using Google Cloud or ElevenLabs
• Checkpoint system to save progress and resume generation
• Configurable voices and audio settings
• Gradio UI

Examples

Listen to sample podcasts generated using Podcast-LLM:

Structured JSON Output from LLMs (Google multispeaker voices)

UFO Crash Retrieval (Elevenlabs voices)

The Behenian Fixed Stars (Google multispeaker voices)

Podcast-LLM Overview (Google multispeaker voices)

Robotic Process Automation (Google voices)

Web Interface

Installation

1. Install using pip:

   pip install podcast-llm
   

2. Set up environment variables in .env:

   OPENAI_API_KEY=your_openai_key
   GOOGLE_API_KEY=your_google_key 
   ELEVENLABS_API_KEY=your_elevenlabs_key
   TAVILY_API_KEY=your_tavily_key
   ANTHROPIC_API_KEY=your_anthropic_api_key
   

Usage

1. Generate a podcast about a topic:

   # Research mode (default) - automatically researches the topic
   podcast-llm "Artificial Intelligence"
   
   # Context mode - uses provided sources
   podcast-llm "Machine Learning" --mode context --sources paper.pdf https://example.com/article
   

2. Options:

   # Customize number of Q&A rounds per section
   podcast-llm "Linux" --qa-rounds 3
   
   # Disable checkpointing
   podcast-llm "Space Exploration" --checkpoint false
   
   # Generate audio output
   podcast-llm "Quantum Computing" --audio-output podcast.mp3
   
   # Generate Markdown output
   podcast-llm "Machine Learning" --text-output podcast.md
   

3. Customize voices and other settings in config/config.yaml

4. Launch the Gradio web interface:

   # Start the web UI
   podcast-llm-gui
   

   This launches a user-friendly web interface where you can:

   • Enter a podcast topic
   • Choose between research and context modes
   • Upload source files and URLs for context mode
   • Configure Q&A rounds and checkpointing
   • Specify output paths for text and audio
   • Monitor generation progress in real-time

License

This project is licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

This means you are free to:

• Share: Copy and redistribute the material in any medium or format
• Adapt: Remix, transform, and build upon the material

Under the following terms:

• Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made
• NonCommercial: You may not use the material for commercial purposes
• No additional restrictions: You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits

For commercial use, please contact [e-mail] to obtain a commercial license.

The full license text can be found at: https://creativecommons.org/licenses/by-nc/4.0/legalcode

Acknowledgements

This project was inspired by podcastfy, which provides a framework for generating podcasts using LLMs.

This implementation differs by automating the research and content gathering process, allowing for fully autonomous podcast generation about any topic without requiring manual research or content curation.