gradio-app/gradio

Gradio is a Python library that lets you build interactive web interfaces for machine learning models and Python functions in just a few lines of code, no knowledge of HTML, CSS, or JavaScript required. The problem it solves is that machine learning researchers and data scientists often build powerful models but have no easy way to demo them or let others try them out interactively. With Gradio, you wrap any Python function in an Interface object. You specify what inputs the function takes, a text box, a slider, an image upload, audio, video, and many others, and what outputs it produces. Gradio then automatically generates a web application with those controls. You run it locally in a browser, or with a single extra parameter you get a temporary public URL that anyone in the world can visit to interact with your demo, while all processing continues on your own machine. You can also embed Gradio apps inside Jupyter Notebooks for interactive demonstrations during development. For more complex applications, Gradio offers a Blocks API that gives you full layout control, you can build multi-step workflows, chatbot interfaces, data analysis dashboards, and multi-modal applications that combine text, images, and audio. Someone would use Gradio when they have a trained machine learning model, an image classifier, a text summarizer, a speech recognizer, a generative AI model, and want to create a shareable, interactive demo quickly. It is widely used for sharing research prototypes, building internal tools, and publishing demos on Hugging Face Spaces, a platform that hosts Gradio apps for free. The tech stack is Python for the backend, with Gradio handling the frontend rendering automatically. It requires Python 3.10 or higher and installs via pip.