Update app.py

app.py

@@ -206,9 +206,11 @@ def predict_peptide(base_model_path, finetuned_model_path, input_seqs, peptide_l
 
     #combine target protein and peptide with 20 G amino acids.
     separator = 'G' * 20
-    peptide_lp = results_df['Pseudo Perplexity'].idxmin() #Choosing the one with the lowest perplexity
+    peptide_lp = results_df['Binder'][results_df['Pseudo Perplexity'].idxmin()] #Choosing the one with the lowest perplexity
     print("lowest perplesity:", peptide_lp)
-                      
+    PPC = input_seqs + separator +  peptide_lp
+    print("Protein+peptide:", PPC)
+    
     return results_df
      
 def suggest(option):