Intelligent Book Management System

This project implements an intelligent book management system using Python, FastAPI, PostgreSQL, and the Llama 3 generative AI model provided by Groq.

Features

• Book management (CRUD operations)
• Review system
• AI-generated book summaries
• Book recommendations based on user preferences
• Asynchronous database operations

Running with Docker

1. Make sure you have Docker and Docker Compose installed on your system.

2. Clone this repository:

   git clone https://github.com/yourusername/book-management-system.git
   cd book-management-system
   

3. Set up your environment variables as described in the "Environment Variables" section below.

4. Build and run the Docker containers:

   docker-compose up --build
   

   This will create the necessary database tables and start the application.

5. The application will be available at http://localhost:8000

6. Access the API documentation at http://localhost:8000/docs

Environment Variables

To run this project, you need to set up the following environment variables:

1. Copy the .env.example file to a new file named .env:

   cp .env.example .env
   

2. Open the .env file and update the values:

   • DATABASE_URL: This should match the URL in your docker-compose.yml file. The default value should work if you haven't changed the database configuration.
   • GROQ_API_KEY: Replace your_groq_api_key_here with your actual Groq API key.

3. Make sure not to commit your .env file to version control. It should be listed in your .gitignore file.

Usage

Use the API endpoints to manage books, add reviews, generate summaries, and get recommendations.