code: def run(
      port: int = 8866,
      client_port: int = 5559,
      names: list = [],
      workers: int = 1,
  ):
      """
      Run flask instance for PaddleHub-Serving
  
      Args:
           port(int): the port of the webserver
           client_port(int): the port of zmq backend address
           names(list): the name list of modules
           workers(int): workers for every client
  
      Examples:
          .. code-block:: python
  
              run(port=8866, client_port='5559')
      """
      if platform.system() == "Windows":
          my_app = create_app(client_port, modules_name=names)
          my_app.run(
              host="0.0.0.0", port=port, debug=False, threaded=False
          )
      else:
          options = {
              "bind": "0.0.0.0:%s" % port,
              "workers": workers,
              "worker_class": "sync",
          }
          StandaloneApplication(
              create_app(client_port, modules_name=names), options
          ).run()
  
      log.logger.info("PaddleHub-Serving has been stopped.")
  
file_path: PaddleHub/paddlehub/serving/http_server.py
imports: import time
  import os
  import multiprocessing
  import platform
  from flask import Flask, request
  from paddlehub.serving.device import InferenceServer
  from paddlehub.serving.client import InferenceClientProxy
  from paddlehub.utils import utils, log
label_desc: Use image node_id 3 for calling a global function with example usage: run(port, client_port, names, workers) without return types