Update app.py

app.py

@@ -206,7 +206,7 @@ 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 = sort(results_df['Pseudo Perplexity'])[-1] #Choosing the one with the lowest perplexity
+    peptide_lp = results_df['Pseudo Perplexity'].idxmin() #Choosing the one with the lowest perplexity
     print("lowest perplesity:", peptide_lp)
                       
     return results_df