Update app.py

app.py

@@ -917,7 +917,8 @@ def submit_predict(predict_filepath, task, preset, target_family, opts, job_info
             def max_sim(smiles):
                 return max_tanimoto_similarity(smiles, seen_smiles_with_fp=pos_compounds_df)
 
-            prediction_df[['Max. Tanimoto Similarity', 'Max. Tanimoto Similarity Compound']] = (
+            prediction_df[['Max. Tanimoto Similarity to Known Target Ligands', 
+                           'Max. Tanimoto Similarity Target Ligand']] = (
                 prediction_df['X1'].parallel_apply(max_sim).apply(pd.Series)
             )
             max_sim.cache_clear()
@@ -931,7 +932,8 @@ def submit_predict(predict_filepath, task, preset, target_family, opts, job_info
                 compound_targets = df_training.loc[df_training['X1'] == compound]
                 return max_sequence_identity(x2, seen_fastas=compound_targets)
 
-            prediction_df[['Max. Sequence Identity', 'Max. Sequence Identity Target']] = (
+            prediction_df[['Max. Sequence Identity to Known Ligand Targets', 
+                           'Max. Sequence Identity Ligand Target']] = (
                 prediction_df['X1^'].parallel_apply(calculate_max_sequence_identity).apply(pd.Series)
             )
             prediction_df.drop(['X1^'], axis=1, inplace=True)