GT Chatbot Backend

A simple Flask backend with MongoDB integration for managing club data.

Setup

1. Clone the repository

   git clone https://github.com/sailalithkanumuri8/gt_chatbot_backend.git
   cd gt_chatbot_backend

2. Create virtual environment

   python3 -m venv .venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate

3. Install dependencies

   pip install flask pymongo python-dotenv pandas

4. Create .env file

   echo "MONGODB_CLIENT=your_mongodb_connection_string_here" > .env

Usage

1. Upload data to MongoDB

   python upload_clubs.py

2. Start the Flask server

   python hello.py

3. Test the API

   • Get all clubs: http://localhost:8001/clubs
   • Get specific club: http://localhost:8001/clubs/Finance%20Association

API Endpoints

• GET /clubs - Returns all clubs
• GET /clubs/<club_name> - Returns clubs matching the name (case-insensitive)

Files

• hello.py - Flask application with API endpoints
• upload_clubs.py - Script to upload CSV data to MongoDB
• sample_clubs.csv - Sample club data
• .env - MongoDB connection string (create this file)