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* add-logos-to-repo - only encode is missing * add-logos-to-repo - add encode logo, add logos to the readme * add-logos-to-repo - change python logo, add HF logo - positioning tweaks on README * add-logos-to-repo - tweaks * add-logos-to-repo - tweaks * Update README.md * add-logos-to-repo - tweaks * add-logos-to-repo - remove gray deee oh :D * add-logos-to-repo - final readme design * add-logos-to-repo - undo readme changes * render_readme fix for windows * add-logos-to-repo - last tweaks * add-logos-to-repo - last tweaks Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
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Build & share delightful machine learning apps easily
Gradio: Build Machine Learning Web Apps — in Python
Gradio is an open-source Python library that is used to build machine learning and data science demos and web applications.
With Gradio, you can quickly create a beautiful user interface around your machine learning models or data science workflow and let people "try it out" by dragging-and-dropping in their own images, pasting text, recording their own voice, and interacting with your demo, all through the browser.
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 %}
System Requirements:
- Python 3.7+
Open Source Stack
Gradio is built with many wonderful open-source libraries, please support them as well!
License:
Gradio is licensed under the Apache License 2.0
See more:
You can find many more examples as well as more info on usage on our website: https://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}
}