Update app.py

app.py

@@ -1288,14 +1288,22 @@ def create_html_report(df, file=None, task=None, opts=(), progress=gr.Progress(t
                 # Add alert emoji for sequence identity below 0.85
                 if unique_df['Max. Sequence Identity to Training Targets'].iloc[0] < 0.85:
                     unique_df['Max. Sequence Identity to Training Targets'] = (
-                        unique_df['Max. Sequence Identity to Training Targets'].apply(lambda x: f'{x:.3f} ⚠️')
+                        unique_df['Max. Sequence Identity to Training Targets'].apply(
+                            lambda x: f'<span style="color: red;">{x:.3f}'
+                                      f' ⚠️Lower than recommended (0.85)'
+                                      f' - predictive reliability may be compromised</span>'
+                        )
                     )
 
             if 'Max. Tanimoto Similarity to Training Compounds' in unique_df.columns:
                 # Add alert emoji for sequence identity below 0.85
                 if unique_df['Max. Tanimoto Similarity to Training Compounds'].iloc[0] < 0.85:
                     unique_df['Max. Tanimoto Similarity to Training Compounds'] = (
-                        unique_df['Max. Tanimoto Similarity to Training Compounds'].apply(lambda x: f'{x:.3f} ⚠️')
+                        unique_df['Max. Tanimoto Similarity to Training Compounds'].apply(
+                            lambda x: f'<span style="color: red;">{x:.3f}'
+                                      f' ⚠️Lower than recommended (0.85)'
+                                      f' - predictive reliability may be compromised</span>'
+                        )
                     )
 
             if any(unique_df.columns.isin(bool_cols)):
@@ -1326,7 +1334,10 @@ def create_html_report(df, file=None, task=None, opts=(), progress=gr.Progress(t
                      '<% } else { %><% } %>'  # Output empty string if value is NaN
         )
         alert_emoji_formatter = HTMLTemplateFormatter(
-            template='<% if (value < 0.85) { %><%= value %> ⚠️<% } else { %><%= value %><% } %>'
+            template='<% if (value < 0.85) { '
+                     '%><span style="color: red;"><%= value %> '
+                     '⚠️Lower than recommended (0.85) - predictive reliability may be compromised</span><% '
+                     '} else { %><%= value %><% } %>'
         )
         bool_formatters = {col: BooleanFormatter() for col in bool_cols}
         float_formatters = {col: NumberFormatter(format='0.000') for col in df_html.select_dtypes('floating').columns}