gradio-app/gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

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[](https://github.com/gradio-app/gradio/actions/workflows/test-python.yml) [](https://github.com/gradio-app/gradio/actions/workflows/tests-js.yml) [](https://pypi.org/project/gradio/) [](https://pypi.org/project/gradio/) [](https://twitter.com/gradio) Website Gradio is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitrary Python function. You can then share a link to your demo or web application in just a few seconds using Gradio's built-in sharing features. No JavaScript, CSS, or web hosting experience needed! It just takes a few lines of Python to create your own demo, so let's get started 💫 Prerequisite: Gradio requires Python 3.10 or higher. We recommend installing Gradio using pip, which is included by default in Python. Run this in your terminal or command prompt: You can run Gradio in your favorite code editor, Jupyter notebook, Google Colab, or anywhere else you write Python. Let's write your first Gradio app: Now, run your code. If you've written the Python code in a file named app.py,…

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What this repository does

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Repository facts

Owner: gradio-app
Primary language: Python
Stars: 43,946
Forks: 3,656
Open issues + pull requests: 114
License: Apache-2.0
Archived: No
Default branch: main
Created: 2018-12-19T08:24:04.000Z
Last push: 2026-10-31T00:52:34.000Z

Topics and intended use

Owner-supplied topics: data-analysis, data-science, data-visualization, deep-learning, deploy, gradio, gradio-interface, interface, machine-learning, models, python, python-notebook, ui, ui-components

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