Chatbot Application

A chatbot application with document training, private/team chat options, and model switching capability.

Features

• Document training through library page
• Private chat functionality
• Team chat functionality (multiple users can see each other's interactions)
• Model switching capability

Technology Stack

• Backend: Flask with FastAPI
• Database: MySQL
• Vector Database: Pinecone
• Embeddings: Sentence Transformers / OpenAI Embeddings
• Chat Models: Various LLMs (configurable)

Project Structure

app/
├── api/            # API endpoints (Flask and FastAPI)
├── config/         # Configuration settings
├── database/       # Database connection and utilities
├── models/         # Database models
├── services/       # Business logic services
└── utils/          # Utility functions
tests/              # Test cases

Setup Instructions

1. Clone the repository
2. Create a virtual environment:

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

3. Install dependencies:

   pip install -r requirements.txt
   

4. Copy .env.example to .env and update the values
5. Initialize the database:

   flask db init
   flask db migrate
   flask db upgrade
   

6. Run the application:

   python run.py
   

API Documentation

Once the application is running, you can access the API documentation at:

• FastAPI Swagger UI: http://localhost:5000/docs
• FastAPI ReDoc: http://localhost:5000/redoc