Book Dependency Tree

This project generates a dependency tree of intellectual influences for a given book, tracing the lineage of cited works and bibliographies recursively. It uses OpenAI's GPT-4 API to analyze and build a directory-style hierarchy of sources that influenced the selected book.

Features

• Enter a book title and author to generate a dependency graph.
• Visualizes the intellectual lineage in a directory-style tree.
• Web interface for easy use.

How It Works

• The backend (Flask) receives a book title and author, then queries the OpenAI API to generate a dependency tree.
• The frontend (HTML/JS) allows users to input book details and view the generated tree.

Installation

1. Clone the repository:

   git clone https://github.com/moonwalkwoods/book-dependency-tree.git
   cd dependency-nest

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   • Create a .env file in the root directory with your OpenAI API key:

     OPENAI_API_KEY=your_openai_api_key_here
     

4. Run the server:

   python app.py

   The server will start on http://localhost:8002.

5. Open the web interface:

   • Open index.html in your browser, or navigate to http://localhost:8002 if served directly.

Usage

1. Enter the book title and author in the input fields.
2. Click Generate Graph.
3. View the generated dependency tree in the output area.

Requirements

• Python 3.8+
• Flask
• Flask-CORS
• openai
• dotenv

License

GNU GENERAL PUBLIC LICENSE