Update app.py

app.py

@@ -5,8 +5,10 @@ from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering
 from PIL import Image
 
 #client = InferenceClient("models/microsoft/trocr-base-handwritten")
-processor = AutoProcessor.from_pretrained("microsoft/trocr-base-handwritten")
-model = AutoModelForDocumentQuestionAnswering.from_pretrained("microsoft/trocr-base-handwritten")
+#processor = AutoProcessor.from_pretrained("microsoft/trocr-base-handwritten")
+processor = TrOCRProcessor.from_pretrained('microsoft/trocr-base-handwritten')
+#model = AutoModelForDocumentQuestionAnswering.from_pretrained("microsoft/trocr-base-handwritten")
+model = VisionEncoderDecoderModel.from_pretrained('microsoft/trocr-base-handwritten')
 
 def sepia(input_img):
     sepia_filter = np.array([