Gradio is a Python framework for rapidly building web interfaces for machine learning models without requiring any frontend expertise – create a web interface in minutes, deploy anywhere, and share with anyone from just a `pip install gradio` and a few lines of code.
A component library of 40+ input/output types supports images, audio, video, 3D models, dataframes, plots, and chatbots across diverse data types. Deployment options range from instant public links for demos, to permanent auto-scaling hosting on Hugging Face Spaces, to self-hosting on custom infrastructure – all without writing any JavaScript or CSS.
Gradio targets machine learning engineers and researchers, data scientists prototyping models, and anyone needing a quick model demo for stakeholders, with real-world adoption in clinical trials and deployments reaching millions of users. The framework and Hugging Face Spaces deployment are free.
