Hugging Face Spaces

Spaces allows developers to easily host machine learning demos and applications with just a few clicks, making AI accessible to everyone.

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Key Features

  • Multiple Frameworks: Gradio, Streamlit, Static HTML
  • GPU Support: Hardware acceleration for demanding models
  • Custom Domains: Professional deployment options
  • Collaborative: Share and fork applications
  • Integrated: Direct access to Hub models and datasets

AI Development Tools

  • Code Generation Demos: Interactive code generation interfaces
  • Code Review Tools: Automated code analysis applications
  • Documentation Generators: Tools for auto-generating docs
  • API Testing: Interactive API exploration tools
  • Model Playground: Test and experiment with AI models

Supported Frameworks

  • Gradio: Python-based UI framework for ML
  • Streamlit: Data app framework
  • Static: Custom HTML/CSS/JS applications
  • Docker: Custom containerized applications

Example Space Creation

import gradio as gr

def generate_code(description):
    # Your code generation logic
    return generated_code

iface = gr.Interface(
    fn=generate_code,
    inputs="text",
    outputs="code"
)
iface.launch()