diff --git a/app.py b/app.py
index a0e1a6f39..710911610 100644
--- a/app.py
+++ b/app.py
@@ -2,45 +2,45 @@ from beam import task_queue, Output, Image, env, Volume
 import os
 import sys
 import requests
+
 if env.is_remote():
-     import folder_paths
-     sys.path.append(os.getcwd())
-     import main
+    import folder_paths
+
+    sys.path.append(os.getcwd())
+    import main
 
 
 # Function to setup environment and load models
 def upload_models():
     # Define the model URLs and their respective directories
     model_urls = [
-      #put models here
+        # put models here
     ]
-    
+
     # Download models if not already downloaded
     for model_name, filename, directory in model_urls:
         if not os.path.exists(f"{directory}/{filename}"):
             print(os.getcwd())
-            os.system(f"wget -c https://huggingface.co/{model_name}/resolve/main/{filename} -P {os.path.join(os.getcwd() , directory)}")
-
+            os.system(
+                f"wget -c https://huggingface.co/{model_name}/resolve/main/{filename} -P {os.path.join(os.getcwd() , directory)}"
+            )
 
 
 # Import functions or execute code from workflow_api.py
-
 # Step 1: Define environment setup and model loading
-@endpoint(
+@task_queue(
     name="ComfyUI",
     cpu=4,
     memory="32Gi",
     gpu="A10G",
     image=Image(
         python_version="python3.10",
-        python_packages=requirements.txt,
-        #commands=["pip3 install opencv-python"],
+        python_packages="requirements.txt",
+        # commands=["pip3 install opencv-python"],
     ),
-    volumes=[Volume(name="PUTVOLUMEHERE", mount_path="./VOLUMEPATH)],
-    #keep_warm_seconds=0,
-    #on_start=upload_models,
+    volumes=[Volume(name="PUTVOLUMEHERE", mount_path="./VOLUMEPATH")],
+    # keep_warm_seconds=0,
+    # on_start=upload_models,
 )
 def generate_video(**inputs):
-  while(true):
-  main()
-  
+    main()