Streamlit ML Apps

Streamlit turns data scripts into shareable web apps in minutes. No front-end experience required.

Layout & Widgets

• Sidebar: Use st.sidebar for controls.
• Interactivity: Use st.slider, st.selectbox, and st.button for user input.
• Charts: Native support for Matplotlib, Plotly, Altair, and more.

State Management

• Session State: Use st.session_state to store values across reruns (e.g., user selections or model results).

Caching

• Performance: Use @st.cache_data for expensive computations or data loading to ensure the app remains responsive.

Best Practices

• UI Design: Keep it simple. Use st.markdown for rich explanations.
• Feedback: Use st.spinner or st.progress for long-running tasks.