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52 lines
2.9 KiB
Markdown
52 lines
2.9 KiB
Markdown
[](https://circleci.com/gh/gradio-app/gradio) [](https://badge.fury.io/py/gradio) [](https://codecov.io/gh/gradio-app/gradio) [](https://pypi.org/project/gradio/) [](https://twitter.com/gradio)
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# Gradio: Build Machine Learning Web Apps — in Python
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Gradio (pronounced GRAY-dee-oh) 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, 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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**You can find an interactive version of the following Getting Started at [https://gradio.app/getting_started](https://gradio.app/getting_started).**
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{% with code=code, demos=demos %}
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{% include "guides/getting_started.md" %}
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{% endwith %}
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## System Requirements:
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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.
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## Contributing:
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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](https://github.com/gradio-app/gradio/blob/master/CONTRIBUTING.md) for more info.
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## License:
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Gradio is licensed under the Apache License 2.0
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## See more:
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You can find many more examples as well as more info on usage on our website: www.gradio.app
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See, also, the accompanying paper: ["Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild"](https://arxiv.org/pdf/1906.02569.pdf), *ICML HILL 2019*, and please use the citation below.
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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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