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* push * chat interface * remove video artifact * changes * restore * changes * more functions * clean * chat interface * chat interface * Update gradio/chat_interface.py * nit * changes * api fix * chat interface * guide * guide * changes * fixes * Added ChatInterface Examples for Langchain, OpenAI Streaming, and HF's Text Generation Inference (StarChat) * docstring * tests * tests * tests * tests * rename * guide * chatbot * conclusion * demo notebooks * clog * test * chat interface * fixes * functional test * test * notebook * guides * typing * docstring * script * upgrade pyright * upgrade pyright * Update CHANGELOG.md * revert pyright upgrade * typing * redirects * Update CHANGELOG.md * guide * guide * readme * screenshot * add to readme * quickstart * readme * Added transformers open-source LLM example using ChatInterface * Minor nits to guide * Minor tweak to test - use connect fixture * website fixes * nav * guide * fix tests' * fix * type * clear * chat interface * fix test * fix guide * handle edge case * edge case * typing * fix example caching with streaming * typing --------- Co-authored-by: pngwn <hello@pngwn.io> Co-authored-by: Yuvraj Sharma <48665385+yvrjsharma@users.noreply.github.com> Co-authored-by: freddyaboulton <alfonsoboulton@gmail.com> Co-authored-by: aliabd <ali.si3luwa@gmail.com>
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Build & share delightful machine learning apps easily
Website | Documentation | Guides | Getting Started | Examples | 中文
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:
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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.
$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},
}