Skip to content

Latest commit

 

History

History
18 lines (10 loc) · 966 Bytes

README.md

File metadata and controls

18 lines (10 loc) · 966 Bytes

Create a virtual enviroment --> conda create -p venv python==3.10 -y

Activate enviroment - conda activate venv/

install requirements.txt

run app ---> streamlit run app.py

APP link -->> https://h4hjystb89ayeykeef4maw.streamlit.app/

Text To SQL LLM Application (LLM, Generative AI) | [Dates]

  • Developed an application using Large Language Models (LLM) to convert natural language questions into SQL queries, simplifying database interaction for non-technical users.
  • Integrated Google Gemini Model to accurately interpret user input and generate corresponding SQL commands, enabling real-time data retrieval from a SQLite database.
  • Designed and implemented a Streamlit-based user interface that allows users to input questions and view query results in a seamless, interactive format.
  • Enhanced the application’s accuracy by fine-tuning the LLM prompts and ensuring the correct mapping of English questions to SQL queries for diverse use cases.