subprocess xvaserver

app.py

@@ -1,6 +1,9 @@
-import server as xvaserver
 import gradio as gr
 import requests
+from subprocess import Popen, PIPE
+
+xvaserver = Popen(['py', 'server.py'], stdout=PIPE, stderr=PIPE)
+stdout, stderr = process.communicate()
 
 def predict(input):
 	model_type = 'xVAPitch'

server.py

@@ -5,8 +5,7 @@ import multiprocessing
 
 torch_dml_device = None
 
-# if __name__ == '__main__':
-if True:
+if __name__ == '__main__':
     server = None
     multiprocessing.freeze_support()