Update app.py

app.py

@@ -137,7 +137,9 @@ def compute_pseudo_perplexity(model, tokenizer, protein_seq, binder_seq):
     with torch.no_grad():
         outputs = model(masked_inputs, labels=labels)
         loss = outputs.loss
-        
+        print("140: loss.shape:",loss.shape)
+        print("141: loss:",loss)
+             
     # Loss is already averaged by the model
     avg_loss = loss.item()
     pseudo_perplexity = np.exp(avg_loss)