Met-Interact : Talk to a Database

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• This is an end to end LLM project based on Google Palm and Langchain. We are building a system that can talk to MySQL database.

• User asks questions in a natural language and the system generates answers by converting those questions to an SQL query and then executing that query on MySQL database. Met-Interact is a T-shirt store where they maintain their inventory, sales and discounts data in MySQL database.

  A store manager will ask questions such as,

  • How many white color Adidas t shirts do we have left in the stock?
  • How much sales our store will generate if we can sell all extra-small size t shirts after applying discounts?

  The system is intelligent enough to generate accurate queries for given question and execute them on MySQL database

Project Highlights

• Met-Interact is a t shirt store that sells Adidas, Nike, Van Heusen and Levi's t shirts
• Their inventory, sales and discounts data is stored in a MySQL database
• We will build an LLM based question and answer system that will use following,
  • Google Palm LLM
  • Streamlit for UI
  • Langchain framework
  • Few shot learning
• In the UI, store manager will ask questions in a natural language and it will produce the answers

Installation

1.Clone this repository to your local machine using:

  git clone https://github.com/MettaSurendhar/Met-Interact.git

2. Install the required dependencies using pip:

  pip install -r requirements.txt

3.Acquire an api key through makersuite.google.com and put it in .env file

  GOOGLE_API_KEY="your_api_key_here"

4. For database setup, run database/db_create_metta_tshirts.sql in your MySQL workbench

Usage

1. Run the Streamlit app by executing:

streamlit run main.py

2.The web app will open in your browser where you can ask questions

Sample Questions

• How many total t shirts are left in total in stock?
• How many t-shirts do we have left for Nike in XS size and white color?
• How much is the total price of the inventory for all S-size t-shirts?
• How much sales amount will be generated if we sell all small size adidas shirts today after discounts?

Sample Images

Project Structure

• main.py: The main Streamlit application script.
• langchain_helper.py: This has all the langchain code
• requirements.txt: A list of required Python packages for the project.
• few_shots.py: Contains few shot prompts
• .env: Configuration file for storing your Google API key.