Python library for building quick web demos of ML models
Gradio is an open-source Python library, originally from Hugging Face, for wrapping a function in a browser interface with a few lines of code. You describe inputs and outputs - text boxes, images, audio, files, chat - and Gradio renders the UI, handles uploads and can expose the app as an API. It is the default way researchers publish a model demo on Hugging Face Spaces, and it works for any Python function, not only ML. The differentiator is speed: a working, shareable interface in minutes, with no front-end work and no JavaScript.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
model demos, research prototypes, internal tools, hugging face spaces
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No. You describe inputs and outputs in Python and Gradio builds the interface, handles file uploads and serves the page. Anything beyond basic layouts may still need some CSS or front-end work.
They can. Every app exposes an API and can be mounted inside a FastAPI service. For heavy traffic you still need to handle scaling, queues and monitoring yourself, or use Hugging Face Spaces hardware.
The library is open source and free to use, including commercially. Free hosting on Hugging Face Spaces comes with CPU limits, and faster hardware is a paid upgrade.
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