![]() We shorten the imported name from gradio to gr for better readability of code. Interface ( fn = greet, inputs =, outputs =, ) demo. Let's write your first Gradio app: import gradio as gr def greet ( name, intensity ): return "Hello " * intensity + name + "!" demo = gr. You can run Gradio in your favorite code editor, Jupyter notebook, Google Colab, or anywhere else you write Python. Detailed installation instructions for all common operating systems are provided here. ![]() It is best to install Gradio in a virtual environment. Run this in your terminal or command prompt: pip install gradio We recommend installing Gradio using pip, which is included by default in Python. Prerequisite: Gradio requires Python 3.8 or higher It just takes a few lines of Python to create a beautiful demo like the one above, so let's get started □ Installation No JavaScript, CSS, or web hosting experience needed! ![]() You can then share a link to your demo or web application in just a few seconds using Gradio's built-in sharing features. 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 arbitary Python function. ![]() | 中文 Gradio: Build Machine Learning Web Apps - in Python ![]()
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