Update app.py

app.py

@@ -10,16 +10,12 @@ from PIL import Image
 
 from donut import DonutModel
 from transformers import DonutProcessor, VisionEncoderDecoderModel
-from huggingface_hub import notebook_login
-
-HF_TOKEN = os.environ.get("HF_TOKEN", None)
-huggingface_hub.notebook_login(token=HF_TOKEN)
 
 
 def demo_process(input_img):
     global pretrained_model, task_prompt, task_name
     # input_img = Image.fromarray(input_img)
-    output = pretrained_model.inference(image=input_img, prompt=task_prompt)["predictions"][0]
+    output = model.inference(image=input_img, prompt=task_prompt)["predictions"][0]
     return output
 
 task_prompt = f"<s_cord-v2>"
@@ -34,9 +30,9 @@ image = Image.open("./001.jpg")
 image.save("sroie_test2.jpg")
 
 #philschmid
-pretrained_model = DonutModel.from_pretrained("philschmid/donut-base-sroie")
-#model = VisionEncoderDecoderModel.from_pretrained("philschmid/donut-base-sroie")
-pretrained_model.eval()
+#pretrained_model = DonutModel.from_pretrained("philschmid/donut-base-sroie")
+model = VisionEncoderDecoderModel.from_pretrained("philschmid/donut-base-sroie")
+model.eval()
 
 demo = gr.Interface(
     fn=demo_process,