Quickly create beautiful user interfaces around your machine learning models. Gradio (pronounced GRAY-dee-oh) makes it easy for you to demo your model in your browser or let people "try it out" by dragging-and-dropping in their own images, pasting text, recording their own voice, etc. and seeing what the model outputs.
Gradio is useful for:
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Demoing your machine learning models for clients / collaborators / users / students
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Deploying your models quickly with automatic shareable links and getting feedback on model performance
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Debugging your model interactively during development using built-in manipulation and interpretation tools
You can find an interactive version of the following Getting Started at https://gradio.app/getting_started.
{% with code=code, demos=demos %} {% include "guides/getting_started.md" %} {% endwith %}
Gradio requires Python 3.7+ and has been tested on the latest versions of Windows, MacOS, and various common Linux distributions (e.g. Ubuntu). For Python package requirements, please see the setup.py file.
If you would like to contribute and your contribution is small, you can directly open a pull request (PR). If you would like to contribute a larger feature, we recommend first creating an issue with a proposed design for discussion. Please see our contributing guidelines for more info.
Gradio is licensed under the Apache License 2.0
You can find many more examples as well as more info on usage on our website: www.gradio.app
See, also, the accompanying paper: "Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild", ICML HILL 2019, and please use the citation below.
@article{abid2019gradio,
title={Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild},
author={Abid, Abubakar and Abdalla, Ali and Abid, Ali and Khan, Dawood and Alfozan, Abdulrahman and Zou, James},
journal={arXiv preprint arXiv:1906.02569},
year={2019}
}