Gradio is an open-source Python library with 43,800+ stars on GitHub for building and sharing machine-learning web apps and demos in a few lines of code.
Gradio removes the front-end work between a model and its audience. Wrap any Python function — a classifier, a chatbot, a speech recognizer — in a Gradio Interface and you instantly get a polished web app with the right inputs and outputs, example inputs, and a built-in API. For more control, the Blocks API lets you compose full applications with layouts, tabs and events, and the component library covers text, images, audio, video, chatbots, dataframes and 3D models. Every app can be shared with a temporary public link for feedback or deployed permanently on Hugging Face Spaces, which is why Gradio became the standard demo layer of the ML ecosystem: most open model releases ship a Gradio demo. Built by the Gradio team at Hugging Face and released under the Apache License 2.0, it is updated continuously and supports both Python and JavaScript clients.
Gradio is free and open source under the Apache License 2.0. Self-host it anywhere at no cost; hosting on Hugging Face Spaces offers free and paid tiers if you want managed deployment.
ML researchers, data scientists and product teams who need interactive demos, internal tools and user feedback on models — without spending days on front-end development.