Update app.py

app.py

@@ -255,7 +255,7 @@ def predict_peptide_from_file(base_model_path, finetuned_model_path, file_obj, m
     for i, row in input.iterrows():
         protein_seq = row['Receptor Sequence']
         peptide_seq = row['Binder']
-        peptide_length = min([len(peptide_seq) max_peptide_length])  # use the same length of ground truth peptide length for prediction limited to max_peptide_length
+        peptide_length = min([len(peptide_seq), max_peptide_length])  # use the same length of ground truth peptide length for prediction limited to max_peptide_length
 
         #get metrics for ground truth peptide
         ppl_value = compute_pseudo_perplexity(loaded_model, tokenizer, protein_seq, peptide_seq)