Update app.py

Updated to the token parameter in from_pretrained

app.py

@@ -81,14 +81,14 @@ st.image(image, caption='Your target document')
 
 with st.spinner(f'Processing the document ...'):
  pre_trained_model = "unstructuredio/chipper-fast-fine-tuning"
- processor = DonutProcessor.from_pretrained(pre_trained_model, use_auth_token=os.environ['HF_TOKEN'])
+ processor = DonutProcessor.from_pretrained(pre_trained_model, token=os.environ['HF_TOKEN'])
  
  device = "cuda" if torch.cuda.is_available() else "cpu"
 
  if 'model' in st.session_state:
  model = st.session_state['model']
  else:
- model = VisionEncoderDecoderModel.from_pretrained(pre_trained_model, use_auth_token=os.environ['HF_TOKEN'])
+ model = VisionEncoderDecoderModel.from_pretrained(pre_trained_model, token=os.environ['HF_TOKEN'])
 
  from huggingface_hub import hf_hub_download