update model in app.py

app.py

@@ -80,7 +80,7 @@ def unnormalize_box(bbox, width, height):
      ]
 
 def predict(image):
-    model = LayoutLMv3ForTokenClassification.from_pretrained("keldrenloy/layoutlmv3cordfinetuned") #add your model directory here
+    model = LayoutLMv3ForTokenClassification.from_pretrained("keldrenloy/LayoutLMv3FineTunedwithCORDandSGReceipts") #add your model directory here
     processor = LayoutLMv3Processor.from_pretrained("microsoft/layoutlmv3-base")
     label_list,id2label,label2id, num_labels = convert_l2n_n2l(dataset)
     width, height = image.size