Stack Explorer

Gradio

ml

Framework to create user interfaces for ML models

Languages

Features

ml-demosinterfaceshuggingfacerapid-prototypingai-apps

Pros and Cons

Ventajas

  • + ML interfaces in few lines of code
  • + Native integration with Hugging Face Spaces
  • + Predefined components for ML (image, audio, text)
  • + Share demos with temporary public links
  • + Supports multiple inputs and outputs
  • + Automatic API for each interface

Desventajas

  • - Less flexible than Streamlit for dashboards
  • - More limited UI customization
  • - Mainly focused on model demos
  • - Fewer components than Streamlit
  • - Learning curve for complex interfaces

Casos de Uso

  • Machine Learning model demos
  • Interfaces for Hugging Face models
  • AI application prototypes
  • Data annotation tools
  • Research showcases
  • Interactive APIs for models