Introduction
Gradio is a Python-first toolkit for rapidly building interactive AI web apps and sharing demos locally, in Colab, or on Hugging Face Spaces. It abstracts frontend complexity into simple components, making it ideal for prototyping, demos, and teaching.
Key features
- Create demos in a few lines of Python using Interface, Blocks, ChatInterface, and more.
- Support for quick sharing (launch(…, share=True)) and hosting on Hugging Face Spaces.
- Rich component library and event system, including multimedia, dataframes, and plotting support.
- Provides both Python and JavaScript clients for programmatic interaction with apps.
Use cases
- Build interactive demos for models or APIs to showcase and evaluate capabilities.
- Use in teaching, workshops, and rapid prototyping to gather user feedback.
- Package models as lightweight internal tools or integrate them into product prototypes.
Technical details
- Python-first ecosystem with broad ML backend compatibility and modern frontend stack (Svelte/TypeScript).
- Extensive docs, guides, and examples in the repo (docs, demo), maintained by an active community with frequent releases.
- Licensed under Apache-2.0 for permissive use in research and commercial projects.