non json json_data var

app.py

@@ -154,9 +154,7 @@ def load_model(voice_model_name):
 
 	print('Loading voice model...')
 	try:
-		response = xvaserver.loadModel(data)
-		# response = requests.post('http://0.0.0.0:8008/loadModel', json=data, timeout=60)
-		# response.raise_for_status()  # If the response contains an HTTP error status code, raise an exception
+		json_data = xvaserver.loadModel(data)
 		current_voice_model = voice_model_name
 
 		with open(model_path + '.json', 'r', encoding='utf-8') as f:
@@ -220,8 +218,7 @@ def predict(
 
 	print('Synthesizing...')
 	try:
-		response = xvaserver.synthesize(data)
-		json_data = json.loads(response)
+		json_data = xvaserver.synthesize(data)
 		# response = requests.post('http://0.0.0.0:8008/synthesize', json=data, timeout=60)
 		# response.raise_for_status()  # If the response contains an HTTP error status code, raise an exception
 		# json_data = json.loads(response.text)

resources/app/no_server.py

@@ -130,7 +130,7 @@ logger.info("Models ready")
 
 post_data = ""
 def loadModel(post_data):
-    req_response = '{}'
+    req_response = {}
     logger.info("Direct: loadModel")
     logger.info(post_data)
     ckpt = post_data["model"]
@@ -152,7 +152,7 @@ def loadModel(post_data):
     return req_response
 
 def synthesize(post_data):
-    req_response = '{}'
+    req_response = {}
     logger.info("Direct: synthesize")
     post_data["pluginsContext"] = json.loads(post_data["pluginsContext"])
     instance_index = post_data["instance_index"] if "instance_index" in post_data else 0