Leveraging Python and LLMs to generate and execute SQL has significant practical benefits — suddenly, data becomes accessible to people who aren’t SQL experts. Language models offer Python developers the opportunity to interact with their data without dealing with the headache of learning SQL.

This talk walks through the process of using Python to generate SQL via language models and to execute that generated SQL. Streamlit is used to collect user input, display the results of the executed queries, and visualize those results in a live demo.