Update app.py

app.py

@@ -122,6 +122,8 @@ def finetune(base_model_path, peptide_length):   #, train_dataset, test_dataset)
 def compute_pseudo_perplexity(model, tokenizer, protein_seq, binder_seq):
     sequence = protein_seq + binder_seq 
     original_input = tokenizer.encode(sequence, return_tensors='pt').to(model.device)
+    print("125: original_input:", original_input)
+    print("126: original_input.size:", original_input.shape)
     length_of_binder = len(binder_seq)
     
     # Prepare a batch with each row having one masked token from the binder sequence