# 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