Update app.py

app.py

@@ -96,7 +96,8 @@ def m2(que, image):
     input_ids = torch.tensor(input_ids).unsqueeze(0)
 
     generated_ids = model3.generate(pixel_values=pixel_values, input_ids=input_ids, max_length=50)
-    return processor3.batch_decode(generated_ids, skip_special_tokens=True)[0]
+    return processor3.batch_decode(generated_ids, skip_special_tokens=True)[0].split('?', 1)[-1].strip()
+
 
 def m3(que, image):
     # processor3 = DonutProcessor.from_pretrained("naver-clova-ix/donut-base-finetuned-docvqa")