🚀 Build Streamlit Apps with Gemini CLI - Tutorial

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Hi Streamlit Community! :waving_hand:

I am super excited to share a fantastic new video tutorial that explores how to accelerate your Streamlit app development using AI. If you’ve been curious about integrating AI assistants directly into your terminal workflow, this is a must-watch!

:video_camera: What’s in the Tutorial?
The video provides a comprehensive walkthrough on using the Gemini CLI to build, debug, and refine a Streamlit dashboard from scratch. Starting with just a single CSV data file, the tutorial demonstrates how to:

  • Prompt the AI to generate a fully functional, interactive dashboard.

  • Leverage Streamlit “agent skills” to improve the app’s architecture and design.

  • Automatically apply custom UI themes, clean up code, and integrate beautiful Plotly visualizations.

:globe_showing_europe_africa: Accessible in English and Spanish!
The original tutorial was created and recorded in Spanish. However, to ensure this valuable resource is accessible to our global community, it features an English audio track powered by YouTube’s AI dubbing!

:laptop: Get the Code
Learning by doing is always the best approach. To help you follow along and experiment on your own, the complete source code generated in the tutorial is available on GitHub. You can clone the repo, review how the AI structured the Streamlit application, and easily adapt the code for your own datasets.

:link: Quick Links:

  • :play_button: Watch the Tutorial:

Happy coding! :balloon::sparkles:

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