Update app.py

app.py

@@ -269,10 +269,10 @@ def predict_peptide_from_file(base_model_path, finetuned_model_path, file_obj, m
     results = []
     
     for i, row in input.iterrows():
-        #protein_seq = row['Receptor Sequence']
-        #peptide_seq = row['Peptide Sequence']
-        protein_seq = row['P_Sequence']
-        peptide_seq = row['p_Sequence']
+        protein_seq = row['Receptor Sequence']
+        peptide_seq = row['Peptide Sequence']
+        #protein_seq = row['P_Sequence']
+        #peptide_seq = row['p_Sequence']
         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