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import subprocess
import os
from server.app import app
from server.website import Website
from server.backend import Backend_Api
from json import load
def start_gpt4api():
# Get the GPT-4 API directory path
api_directory = os.path.join(os.path.dirname(
os.path.abspath(__file__)), "apiGPT4")
# Install the GPT-4 dependencies using yarn
install_dependencies = subprocess.Popen(
["yarn"], cwd=api_directory, shell=True)
install_dependencies.wait()
# Start the GPT-4 process using yarn start
api_process = subprocess.Popen(
["yarn", "start"], cwd=api_directory, shell=True)
return api_process
if __name__ == '__main__':
# Run GPT-4 API
gpt4api_process = start_gpt4api()
# 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'],
)
# 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 GPT-4 API process when the Flask server is closed
gpt4api_process.terminate()
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