Gradio

Python library for building and sharing machine learning web interfaces with minimal code. Lets you create interactive demos and apps for models in a few lines of Python, without JavaScript, CSS, or frontend experience. Deploy locally or to hosted platforms and share via public URLs.

Gradio is widely used by research teams, startups, and enterprises for rapid ML prototyping and demos. It stands out by handling the entire frontend so developers stay in Python, unlike general web frameworks that require full-stack work. Integrates with common ML frameworks and offers official Python and JavaScript clients for programmatic access to deployed apps.

Key features:

• 40+ built-in components for images, audio, video, 3D models, dataframes, chatbots, and more
• One-command install and launch, share local demos instantly via public links
• Python and JavaScript client SDKs for scripting and automation against Gradio apps
• Hosting integration for always-on, auto-scaling deployments
• Custom component system to extend or reuse UI elements in standalone apps

Teams use Gradio to demo computer vision and NLP models for stakeholders, run clinical trials with real-time AI interfaces, and prototype LLM apps before production. The JavaScript client enables embedding Gradio backends in custom HTML frontends, while the Python client fits into data pipelines and evaluation workflows.