Text to SQL Assistant | Chat to your Database | Using GROQ API , Streamlit |

🚀 Build a Chat-Based SQL Assistant with Python + Streamlit + Groq AI!

In this video, you'll learn how to create a fully dynamic Text-to-SQL chat app where users can:
- Ask questions about their database in plain English
- Get real-time SQL queries & results
- Create tables or insert data on the fly from the sidebar
- Download the entire conversation

This project uses Streamlit for UI, Groq's blazing-fast LLM via LangChain for converting natural language to SQL, and SQLite as the backend database. Everything is modular, clean, and ready for production-level extension.

TimeLine:
00:00 - Demo / Intro
09:20 - Architecture
12:30 - Get GROQ API Key
13:24 - Setup Environment
17:51 - Entry Point
26:40 - Configuration
28:00 - SQL Query Engine
33:50 - SQL Utils
43:30 - Call all modules
55:34 - Final Output
57:40 - Download Conversation Module
59:19 - Thank You

🔧 Tech stack:
- Python 🐍
- Streamlit 🌐
- LangChain 🧠
- Groq LLM ⚡
- SQLite 💾
- Pandas 📊

✅ What you'll learn:
- Creating chat interfaces with Streamlit
- Dynamically building and querying databases
- Using Groq LLM for text-to-SQL conversion
- Building modular, real-world AI apps

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