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<div align="center"> |
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[<img src="readme_files/gradio.svg" alt="gradio" width=300>](https://gradio.app)<br> |
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<em>Build & share delightful machine learning apps easily</em> |
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[<img src="https://circleci.com/gh/gradio-app/gradio.svg?style=svg" alt="circleci">](https://circleci.com/gh/gradio-app/gradio) |
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[<img src="https://codecov.io/gh/gradio-app/gradio/branch/master/graph/badge.svg" alt="codecov">](https://app.codecov.io/gh/gradio-app/gradio) |
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[](https://pypi.org/project/gradio/) |
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[](https://pypi.org/project/gradio/) |
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[](https://twitter.com/gradio) |
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[Website](https://gradio.app) |
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| [Documentation](https://gradio.app/docs/) |
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| [Guides](https://gradio.app/guides/) |
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| [Getting Started](https://gradio.app/getting_started/) |
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| [Examples](demo/) |
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</div> |
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# Gradio: Build Machine Learning Web Apps — in Python |
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Gradio is an open-source Python library that is used to build machine learning and data science demos and web applications. |
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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, |
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pasting text, recording their own voice, and interacting with your demo, all through the browser. |
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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. |
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$getting_started |
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## Open Source Stack |
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Gradio is built with many wonderful open-source libraries, please support them as well! |
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[<img src="readme_files/huggingface_mini.svg" alt="huggingface" height=40>](https://huggingface.co) |
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[<img src="readme_files/python.svg" alt="python" height=40>](https://www.python.org) |
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[<img src="readme_files/fastapi.svg" alt="fastapi" height=40>](https://fastapi.tiangolo.com) |
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[<img src="readme_files/encode.svg" alt="encode" height=40>](https://www.encode.io) |
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[<img src="readme_files/svelte.svg" alt="svelte" height=40>](https://svelte.dev) |
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[<img src="readme_files/vite.svg" alt="vite" height=40>](https://vitejs.dev) |
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[<img src="readme_files/pnpm.svg" alt="pnpm" height=40>](https://pnpm.io) |
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[<img src="readme_files/tailwind.svg" alt="tailwind" height=40>](https://tailwindcss.com) |
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## License |
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Gradio is licensed under the Apache License 2.0 found in the [LICENSE](LICENSE) file in the root directory of this repository. |
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## Citation |
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Also check out the paper *[Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild](https://arxiv.org/abs/1906.02569), ICML HILL 2019*, and please cite it if you use Gradio in your work. |
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``` |
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@article{abid2019gradio, |
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title = {Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild}, |
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author = {Abid, Abubakar and Abdalla, Ali and Abid, Ali and Khan, Dawood and Alfozan, Abdulrahman and Zou, James}, |
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journal = {arXiv preprint arXiv:1906.02569}, |
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year = {2019}, |
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} |
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``` |
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