In today’s data-driven world, getting information out of a database usually requires knowing SQL. But what if you could just ask your database a question in plain English and get the answer instantly? Thanks to Large Language Models (LLMs) and Artificial Intelligence, this is no longer science fiction.
In this article, I will show you a real-world example of how to build a Text-to-SQL Query Generator using Python, Streamlit, and Hugging Face.
The Magic of Text-to-SQL
Text-to-SQL is a natural language processing (NLP) task where an AI model translates a human-readable question into a structured SQL query. This bridges the gap between non-technical users (like business analysts or managers) and complex databases.
Instead of writing:
