document-to-podcast 1.4.1

No project description provided

Document-to-podcast: a Blueprint by Mozilla.ai for generating podcasts from documents using local AI

This blueprint demonstrate how you can use open-source models & tools to convert input documents into a podcast featuring two speakers. It is designed to work on most local setups, meaning no external API calls or GPU access is required. This makes it more accessible and privacy-friendly by keeping everything local.

👉 📖 For more detailed guidance on using this project, please visit our Docs.

👉 🔨 Built with

• Python 3.10+ (use Python 3.12 for Apple M1/2/3 chips)
• Llama-cpp
• Streamlit (UI demo)

👉 🧠 Check the Supported Models.

Quick-start

Get started right away using one of the options below:

Google Colab	HuggingFace Spaces	GitHub Codespaces

You can also install and use the blueprint locally:

Command Line Interface

pip install document-to-podcast

document-to-podcast \
--input_file "example_data/Mozilla-Trustworthy_AI.pdf" \
--output_folder "example_data"
--text_to_text_model "Qwen/Qwen2.5-1.5B-Instruct-GGUF/qwen2.5-1.5b-instruct-q8_0.gguf"

Graphical Interface App

git clone https://github.com/mozilla-ai/document-to-podcast.git
cd document-to-podcast
pip install -e .

python -m streamlit run demo/app.py

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.

Contributing

Contributions are welcome! To get started, you can check out the CONTRIBUTING.md file.