run.py

import subprocess  
import os  
from server.app import app  
from server.website import Website  
from server.backend import Backend_Api  
  
from json import load  
  
if __name__ == '__main__':  
    # Load configuration from config.json  
    config = load(open('config.json', 'r'))  
    site_config = config['site_config']  
  
    # Set up the website routes  
    site = Website(app)  
    for route in site.routes:  
        app.add_url_rule(  
            route,  
            view_func=site.routes[route]['function'],  
            methods=site.routes[route]['methods'],  
        )  
  
    # Set up the backend API routes  
    backend_api = Backend_Api(app, config)  
    for route in backend_api.routes:  
        app.add_url_rule(  
            route,  
            view_func=backend_api.routes[route]['function'],  
            methods=backend_api.routes[route]['methods'],  
        )  
  
    # Get the API directory path  
    api_directory = os.path.join(os.path.dirname(os.path.abspath(__file__)), "apiGPT4")  
  
    # Install the API dependencies using yarn  
    install_dependencies = subprocess.Popen(["yarn"], cwd=api_directory, shell=True)  
    install_dependencies.wait()  
  
    # Start the API process using yarn start  
    api_process = subprocess.Popen(["yarn", "start"], cwd=api_directory, shell=True)  
  
    # Run the Flask server  
    print(f"Running on port {site_config['port']}")  
    app.run(**site_config)  
    print(f"Closing port {site_config['port']}")  
  
    # Terminate the API process when the Flask server is closed  
    api_process.terminate()