gradio

Acquired by Hugging Face, Gradio has become the standard way to demonstrate ML models and AI applications: Hugging Face Spaces hosts hundreds of thousands of Gradio demos covering every corner of the AI model landscape, and the library's API is used internally to power model demos across the Hugging Face hub.

The library provides a rich set of pre-built input and output componentstext boxes, image uploaders, audio recorders, video players, dataframe displays, sliders, and dropdownsthat cover the common patterns of AI model interfaces without custom UI coding.

Gradio's Interface class creates a complete web application from a Python function plus input/output component specifications in three lines, while the more flexible Blocks API allows constructing multi-component layouts with custom event handling for more complex interactive applications.

ML researchers sharing model demos alongside papers, developers building proof-of-concept AI tools for user testing, and platform engineers deploying model inference endpoints with user-facing interfaces use Gradio to eliminate the web development barrier between a working model and a shareable demonstration.

The library's real-time streaming support enables applications where model outputs (like LLM token generation) should appear incrementally rather than waiting for the full response.

Its integration with Hugging Face Spaces means Gradio apps deploy to free cloud hosting with a single git push, making model sharing frictionless for the research community.