update model path

app.py

@@ -18,10 +18,8 @@ from collections.abc import Sized # Import Sized from collections.abc
 warnings.filterwarnings("ignore", category=UserWarning, message=".*?Your .*? set is empty.*?")
 
 
-
 # private repo
-# from config import HUGGINGFACE_TOKEN as token
-token = os.getenv('HUGGINGFACE_TOKEN')
+token = colorizer
 snapshot_folder = snapshot_download(repo_id="afondiel/image-colorizer-deoldify", token=token)
 
 # Set the device to use for computation
@@ -32,7 +30,7 @@ else:
     device.set(device=DeviceId.CPU)
 
 # Load the pre-trained model
-colorizer = get_image_colorizer(root_folder=Path(snapshot_folder), artistic=True)
+_colorizer = get_image_colorizer(root_folder=Path(snapshot_folder), artistic=True)
 
 
 def colorizer_fn(input_img, render_factor):
@@ -42,7 +40,7 @@ def colorizer_fn(input_img, render_factor):
   - @param render_factor render_factor
   """
   if input_img is not None and input_img !='':
-    output_img = colorizer.get_transformed_image(
+    output_img = _colorizer.get_transformed_image(
         path=input_img,
         render_factor=int(render_factor),
         watermarked=watermarked,