edit_toc.py

import openai
import yaml
import requests


# Set your OpenAI API key here
api_key = 

def load_toc(file_path):
    with open(file_path, 'r') as file:
        toc = yaml.safe_load(file)
    return toc

def save_toc(file_path, toc):
    with open(file_path, 'w') as file:
        yaml.dump(toc, file)

def gpt3_edit_toc(toc_file_path):
    toc = load_toc(toc_file_path)
    print("Current TOC:")
    print(yaml.dump(toc))

    # Define the conversation messages
    messages = [
        {"role": "system", "content": "You are a helpful assistant that can edit the table of contents (TOC) of a book."},
        {"role": "user", "content": "Here is the current TOC:\n" + yaml.dump(toc) + "\nWhat changes would you like to make to the TOC?"}
    ]

    # Set the API endpoint and headers
    url = 'https://api.openai.com/v1/chat/completions'
    headers = {"Authorization": f"Bearer {api_key}"}
    data = {'model': 'gpt-3.5-turbo', 'messages': messages}

    # Make the API call using the requests library
    response = requests.post(url, headers=headers, json=data).json()

    # Extract the assistant's response
    assistant_response = response['choices'][0]['message']['content'].strip()

    # TODO: Parse the assistant's response and apply the changes to the TOC
    # This may involve adding, removing, reordering, or updating chapters and sections

    # Save the updated TOC
    save_toc(toc_file_path, toc)
    print("Updated TOC:")
    print(yaml.dump(toc))

if __name__ == "__main__":
    toc_file_path = "_toc.yaml"  # Path to the TOC file
    gpt3_edit_toc(toc_file_path)