Abubakar Abid - Keynote: Building Machine Learning Apps in Python with Gradio | PyData Global 2023

Gradio is a Python library that makes it easy to create web interfaces for machine learning models with just a few lines of code

Key components needed for a Gradio interface:

• A Python function
• Input component(s) that map to function parameters
• Output component(s) that display function results

Gradio offers two main APIs:

• Interface API: High-level, quick demos with minimal code
• Blocks API: Low-level, full control over layout and processing

Every Gradio app automatically gets:

• A web UI accessible via browser
• API endpoint for programmatic access
• Built-in queuing system for handling concurrent users
• Share links for easy demo sharing

Common use cases:

• Image classification demos
• Text generation interfaces
• Audio/speech processing
• Real-time dashboards
• Interactive machine learning model demos

Key benefits:

• Makes ML models accessible to non-technical users
• Helps identify biases and gaps in model performance
• Enables quick feedback from users
• Refocuses research on practical applications

Hosting options:

• Local deployment
• Hugging Face Spaces (free tier available)
• Custom servers

New in Gradio 4.0:

• Improved performance via Svelte frontend
• Custom component creation
• Enhanced theme customization
• Better streaming support
• Optional queuing system