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72 lines
3.5 KiB
Markdown
72 lines
3.5 KiB
Markdown
<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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[](https://github.com/gradio-app/gradio/actions/workflows/backend.yml)
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[](https://github.com/gradio-app/gradio/actions/workflows/ui.yml)
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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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| [中文](readme_files/zh-cn#readme)
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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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[<img src="readme_files/storybook.svg" alt="storybook" height=40>](https://storybook.js.org/)
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[<img src="readme_files/chromatic.svg" alt="chromatic" height=40>](https://www.chromatic.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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