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app.py

@@ -923,7 +923,7 @@ def submit_predict(predict_filepath, task, preset, target_family, opts, job_info
             prediction_df[['Max. Sequence Identity', 'Max. Sequence Identity Target']] = (
                 prediction_df['X1^'].parallel_apply(calculate_max_sequence_identity).apply(pd.Series)
             )
-            prediction_df.drop(['N'], axis=1, inplace=True)
+            prediction_df.drop(['X1^'], axis=1, inplace=True)
 
             calculate_max_sequence_identity.cache_clear()
 
@@ -1683,7 +1683,7 @@ with gr.Blocks(theme=theme, title='DeepSEQreen', css=CSS, delete_cache=(3600, 48
                         label='Step 6. Select Additional Options',
                         info="Experimental features - may increase the job computation time. "
                              "Target Max. Sequence Identity to Training Targets suggest "
-                             "predictive reliability (higher values - greater reliability))."
+                             "predictive reliability (higher values - greater reliability)."
                     )
                 with gr.Row():
                     with gr.Column():