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()