Update app.py

app.py

@@ -126,7 +126,7 @@ def predict_model2(image):
     attention_mask = inputs.attention_mask.to(device)
 
     model2.eval()
-    t5_model.eval()
+   
     with torch.no_grad():
         deplot_generated_ids = model2.generate(flattened_patches=flattened_patches, attention_mask=attention_mask, max_length=1000)
     generated_datatable = processor2.batch_decode(deplot_generated_ids, skip_special_tokens=False)[0]