Gradio is a Python framework for turning machine-learning models and data workflows into interactive web interfaces, aimed primarily at developers and researchers building prototypes, demonstrations, or complete web applications. It supplies the common frontend layer so a Python function can receive browser-based input and present its output through suitable controls. Using it requires installing the Python package and writing the code that connects interface components to the underlying model or function.
Its component collection handles text, chat, images, audio, video, 3D objects, dataframes, plots, JSON, and other forms of input and output, allowing interfaces to reflect the data a model actually uses. An application can run locally with a temporary public sharing link or be deployed to Hugging Face Spaces for persistent hosting. Gradio reduces the need to build a frontend with JavaScript or CSS, while responsibility for the model logic, Python runtime, and chosen deployment environment remains with the developer.