fix: move hf token to repo envs

app.py

@@ -23,7 +23,7 @@ def load_model(pretrained_revision: str = 'main'):
     if processor is None or loaded_revision is None or loaded_revision != pretrained_revision:
       loaded_revision=pretrained_revision
       processor = DonutProcessor.from_pretrained(
-        pretrained_repo_name, revision=pretrained_revision, use_auth_token="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")
+        pretrained_repo_name, revision=pretrained_revision) # , use_auth_token="...")
       processor.image_processor.do_align_long_axis = False
       # do not manipulate image size and position
       processor.image_processor.do_resize = False
@@ -33,7 +33,7 @@ def load_model(pretrained_revision: str = 'main'):
       processor.image_processor.do_normalize = True
       print(f'processor image size: {processor.image_processor.size}')
       model = VisionEncoderDecoderModel.from_pretrained(
-        pretrained_repo_name, use_auth_token="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", revision=pretrained_revision)
+        pretrained_repo_name, revision=pretrained_revision) # use_auth_token="...", 
       print(f'model checkpoint loaded')    
       device = "cuda" if torch.cuda.is_available() else "cpu"
       model.to(device)