gradio/readme_template.md

Build & share delightful machine learning apps easily

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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:

• Demoing your machine learning models for clients/collaborators/users/students.

• Deploying your models quickly with automatic shareable links and getting feedback on model performance.

• Debugging your model interactively during development using built-in manipulation and interpretation tools.

$getting_started

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 found in the LICENSE file in the root directory of this repository.

Citation

Also check out the paper Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild, ICML HILL 2019, and please cite it if you use Gradio in your work.

@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},
}