code: def run_flow_and_servers(
      file: str,
      base_url: str,
      queue_id: str,
      host: str,
      port: int,
      flow_port: Tuple[Tuple[str, int]],
  ) -> None:
      """It takes the application file as input, build the application object and then use that to run the application
      flow defined in the root component, the application server and all the flow frontends.
  
      This is used by the cloud runners to start the flow, the status server and all frontends for the application
  
      """
      logger.debug(f"Run Flow: {file} {queue_id} {base_url}")
      logger.debug(f"Run Server: {file} {queue_id} {host} {port}.")
      logger.debug(f"Run Frontend's: {flow_port}")
      start_flow_and_servers(
          entrypoint_file=file,
          base_url=base_url,
          queue_id=queue_id,
          host=host,
          port=port,
          flow_names_and_ports=flow_port,
      )
  
file_path: pytorch-lightning/src/lightning/app/cli/lightning_cli_launch.py
imports: import logging
  from typing import Tuple
  import click
  from lightning.app.core.constants import APP_SERVER_HOST, APP_SERVER_PORT
  from lightning.app.launcher.launcher import run_lightning_flow, run_lightning_work, serve_frontend, start_application_server, start_flow_and_servers
label_desc: Use image node_id 6 for calling a global function with example usage: run_flow_and_servers(file, base_url, queue_id, host, port, flow_port) without return types