Update app.py

app.py

@@ -664,6 +664,7 @@ def analyze_excel_single(file_path):
             img_nps = plot_model_results(
                 results_df_nps,
                 f"NPS Drivers: {file_name}",
+                "NPS",
             )
 
 
@@ -1038,18 +1039,6 @@ def variable_outputs(file_inputs):
             "<span style='font-size:20px; font-weight:bold;'>3) Trust and KPI Drivers</span>",
             visible=True,
         ),
-        gr.Markdown(
-            """
-            <div style='font-size:16px;'>
-            This analysis highlights which Trust Buckets® are most effective in improving NPS and building trust.
-            <br><br>
-            The baseline impact for each driver is <b>16.7%</b> (100% divided across 6 Trust Buckets®). Any percentage above this average indicates higher significance,
-            meaning these Trust Buckets® require more attention. To maximise their potential, focus on “filling” them with the right attributes and tailored messaging.
-            </div>
-            """,
-            visible=True,
-        ),
-    
         
         gr.Image(
             value=img_trust,