Update serving_creator_func.py

serving_creator_func.py

@@ -11,20 +11,15 @@ def deploy_serving_functions(context, number_of_servings, number_of_models):
     for serving_num in range(number_of_servings):
         serving_fn = project.set_function("hub://v2_model_server", f"serving-func{str(serving_num)}", kind="serving", image="mlrun/mlrun")
         serving_fn.apply(mlrun.auto_mount())
+        serving_fn.set_config("spec.readinessTimeoutSeconds", 1200)
 
         # Add the models to the serving function's routing spec
         for model_num in range(number_of_models):
 
             # Get a random model from the logged models and add it to the serving
             random_model = models[random.randint(0, len(models) -1 )]
-            # serving_fn.add_model(key=random_model.key, model_path=f"store://models/{project.name}/{random_model.key}:latest")
             serving_fn.add_model(key=random_model.key, model_path=random_model.uri)
 
-
-        # (OPTIONAL) Create a tracking policy 
-        # tracking_policy = {'default_batch_intervals':"", "default_batch_image":"", "stream_image":"", "default_controller_image":""}
-
-        # Enable model monitoring (If you specified tracking_policy, pass it to 'tracking_policy' param)
+        # Enable model monitoring
         serving_fn.set_tracking()
-
         serving_fn.deploy()