This project implements a web-based SQL Query Generator and Result Viewer using Streamlit. The user can input natural language questions, and the system will use the Gemini AI model to generate SQL queries. The SQL queries are then executed against a SQLite database, and the results are displayed.

1. Convert natural language questions into SQL queries using Gemini AI.
2. Display the generated SQL query.
3. Execute the SQL query on an SQLite database.
4. Show the query results in a table or as a scalar metric (e.g., average, count).

To run this app, the following dependencies installed:

• Python
• Streamlit
• Google Gemini API
• SQLite3
• Dotenv