Gradio

Gradio is an open source Python library for building web interfaces around machine learning models. You write a few lines of Python, wrap a function with inputs and outputs, and Gradio produces a shareable web app, so no JavaScript, CSS or frontend work is needed. It installs with pip and launches locally in seconds. It is used by ML engineers, researchers and developers who want to demo a model, collect feedback or ship an internal tool. The library includes more than 40 components for images, audio, video, 3D models, dataframes, plots, chatbots, file explorers and more. Calling launch with the share option creates a public link to an app running on your own machine, which is handy for showing work to colleagues or clients. For permanent hosting, apps can be deployed to Hugging Face Spaces, which the site describes as free, always online and auto scaling. The home page announces Gradio 6 and shows the project on GitHub. The site does not publish a pricing page. The library itself is open source and free to install, and the Hugging Face Spaces hosting is described as free, but any paid hosting tiers would be set by Hugging Face and were not verified here. The Python interface keeps the code small: define a function, hand it to an Interface with input and output types, and call launch. The same app can then run locally, be shared by link, or be hosted.