Update app.py

app.py

@@ -1999,15 +1999,32 @@ def highlight_button(button_name):
 with gr.Blocks(css=css,js=js_func) as demo:
     with gr.Column():
         gr.Markdown(
-            "<span style='font-size:20px; font-weight:bold;'>Click 'Volkswagen Owners' or 'Volkswagen Prospects' to see the full results and play with the TrustifierAI.</span>",
-            visible=True,
-        )
+        """     
+        ### Which Trust Buckets® are the most important to your audience and how do you fill them best?
+        
+        To use TrustAnalyser®, you first insert the TrustLogic® quantitative statements into any of your surveys.
+        The module consists of six statements that have been extensively modeled, calibrated, and proven in
+        practice for over 14 years.
+        
+        Once your survey results are in, you can export the data as a CSV. Use our Excel template, or seamlessly
+        link your SurveyMonkey survey to our Analyser interface. From there, TrustAnalyser® helps you quickly
+        identify which Trust Buckets® resonate most with your audience and the specific TrustBuilders® that
+        will fill them effectively.
+        """
+    )
+
         gr.Markdown(
-            "Volkswagen Example\n\n"
-            "As a default, the analysis displays Volkswagen Owner results. To trigger the analysis for Prospects, toggle to ‘VW Prospects’. "
-            "If you include your competitors in your survey, you can also see their results.",
-            visible=True,
-        )
+        """
+        <span style="font-size:22px; font-weight:bold;">Volkswagen Example</span><br>
+        <span style="font-size:18px;">
+        As a default, the analysis displays <strong>Volkswagen Owner</strong> results. To trigger the analysis for 
+        <strong>Prospects</strong>, toggle to ‘VW Prospects’. 
+        If you include your competitors in your survey, you can also see their results.
+        </span>
+        """,
+        visible=True,
+    )
+
 
     with gr.Column():
         with gr.Row():