How can I make my Streamlit dashboard look more polished and interactive?

For a polished result, you’ll probably need to combine Streamlit’s layout features with custom CSS and a charting library rather than rely on a one-click generator. Start with a clear grid, consistent spacing, a limited color palette, and a few useful interactions instead of filling the page with widgets. Libraries such as Nivo can produce attractive interactive charts, although integrating them into a Python-based Streamlit app may take some extra setup. AI coding tools can also review your repository and suggest layout or styling changes, but you’ll still need to refine the design yourself.

Look for dashboard templates and design references, then recreate the parts you like in Streamlit using columns, containers, cards, custom CSS, and responsive chart components. Describe the exact visual style you want to an AI coding assistant and provide the relevant files from your project; it can generate a starting point, but vague prompts usually lead to generic dashboards. Focus on making the data hierarchy clear and keeping the minimalist look consistent across every page.