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GRADIO
The fastest way to build and share machine learning web apps in Python
Apache-2.0
ABOUT
Machine learning practitioners spend excessive time building web UIs to showcase or test their models -- wrestling with JavaScript, CSS, and backend infrastructure instead of focusing on model quality. Gradio eliminates this friction by letting developers create polished, interactive web demos for any ML model in pure Python. With 40+ pre-built components, automatic API generation, and free hosted sharing via Spaces, teams can iterate faster, collaborate with non-technical stakeholders, and deploy production-ready interfaces in minutes rather than days.
INSTALL
pip install gradioINTEGRATION GUIDE
1. Create interactive demos for LLM chatbots, image generators, and audio models to share with stakeholders
2. Build internal tools for data labeling, model evaluation, and A/B testing with custom UI components
3. Deploy production inference APIs with automatic documentation and programmable endpoints for integration
4. Rapidly prototype ML product ideas and gather user feedback through shareable public links
5. Visualize model outputs across modalities (text, image, audio, video, 3D, dataframes) in one unified interface
TAGS
machine-learningweb-appuipythonprototypingdeploymentdemovisualizationdata-scienceinferencingsharing