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45 lines
2.5 KiB
Markdown
45 lines
2.5 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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# Welcome to Gradio
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Quickly create customizable UI components around your models. Gradio makes it easy for you to "play around" with your model in your browser by dragging-and-dropping in your own images, pasting your own text, recording your own voice, etc. and seeing what the model outputs.
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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 interpretation visualizations for any model
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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 "getting_started.md" %}
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{% endwith %}
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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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