gradio: Build and Share Python Web Apps for Machine Learning

Overview

Gradio is a Python library for adding a browser-based interface to a Python function, model, or API. It handles the UI and app launch so developers can let people interact with their work without building a frontend from scratch.

It suits both quick demos and more involved applications: use its high-level interfaces for standard input-and-output flows, or its customizable layouts and interactions when a simple form is not enough. Built-in sharing can expose a running demo through a public link while computation remains on the developer's machine.

Key Features

• Wrap Python functions in interfaces with configurable input and output components.
• Use built-in components for common inputs and outputs, including text and images.
• Build custom layouts and interaction flows with gr.Blocks.
• Create chatbot interfaces with gr.ChatInterface.
• Launch apps locally or generate a shareable public link.
• Query Gradio apps programmatically through Python and JavaScript clients.
• Develop locally with hot reload mode.

Use Cases

• A machine-learning developer can put a model behind an interactive demo for teammates or users.
• A data scientist can let colleagues explore a Python analysis or visualization without asking them to run code.
• An educator can provide browser-based examples that students can try from a notebook or local app.
• An application developer can prototype an AI web interface in Python, then use Blocks for more customized layouts and behavior.

Getting Started

Requires Python 3.10 or higher. Install Gradio with:

pip install --upgrade gradio

See the README for a first-app example and further setup details.

Considerations

• The project requires Python 3.10 or higher.
• A shareable link makes a running app publicly accessible. Consider what the app exposes before enabling sharing.
• Gradio provides the interface layer, but the Python function or model and its computation remain your responsibility.
• More customized interfaces may require learning the Blocks layout and event model.