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What is Gradio?
Gradio is an open-source Python library for building web interfaces around machine learning models and data workflows. It helps developers create interactive demonstrations and applications without having to build the frontend from scratch.
Users define behavior in Python and connect it to components for different kinds of input and output. Gradio is intended for work ranging from quick prototypes to production-ready apps, and it supports deployment and sharing for researchers, developers, and teams.
Key features of Gradio
Fast Python setup
Gradio can be installed as a Python package and launched with a small amount of code, allowing developers to focus on the model or workflow rather than frontend implementation.
Multimodal components
Built-in components cover images, audio, video, 3D content, dataframes, plots, and chat, making the library suitable for many machine learning input and output patterns.
Browser interfaces
Gradio wraps a model or data workflow in an interactive browser interface where visitors can submit content and inspect the resulting model output.
Deployment and sharing
Applications can be deployed to a hosting environment and shared through a link, which is useful for showing machine learning work to teammates, testers, or the public.