fix(api): use Waitress for Windows bundle

api/entry.py

@@ -1,5 +1,6 @@
 import multiprocessing
-import os
+import threading
+import waitress
 import webbrowser
 
 def script_method(fn, _rcb=None):
@@ -15,24 +16,37 @@ torch.jit.script = script
 if __name__ == '__main__':
     multiprocessing.freeze_support()
     try:
+        # convert the models
         from onnx_web.convert.__main__ import main as convert
-        print("converting models to ONNX")
+        print("downloading and converting models to ONNX")
         convert()
 
+        # create the server and load the config
         from onnx_web.main import main
         app, pool = main()
+
+        # launch the image workers
         print("starting image workers")
         pool.start()
 
+        # launch the API server
         print("starting API server")
-        app.run("0.0.0.0", 5000, debug=False)
+        server = waitress.create_server(app, host="0.0.0.0", port=5000)
+        thread = threading.Thread(target=server.run)
+        thread.daemon = True
+        thread.start()
 
+        # launch the user's web browser
+        print("opening web browser")
         url = "http://127.0.0.1:5000"
         webbrowser.open_new_tab(f"{url}?api={url}")
 
+        # wait for enter and exit
         input("press enter to quit")
+        server.close()
+        thread.join(1.0)
+
+        print("shutting down image workers")
         pool.join()
     except Exception as e:
         print(e)
-    finally:
-        os.system("pause")