Update app.py

app.py

@@ -633,16 +633,6 @@ def analyze_excel_single(file_path):
         if trustbuilder_present:
             # Create dataframe for trust builder
             results_df_builder = pd.read_csv(csv_output_path_trustbuilder)
-            bucket_colors = {
-                "Stability": "lightblue",
-                "Development": "lightgreen",
-                "Relationship": "lavender",
-                "Benefit": "lightyellow",
-                "Vision": "orange",
-                "Competence": "lightcoral",
-            }
-
-
             combined_data = {
                 "Message": results_df_builder["Message"],
                 "Stability": results_df_builder["Stability"].round(0).astype(int),
@@ -655,12 +645,8 @@ def analyze_excel_single(file_path):
 
             df_builder = pd.DataFrame(combined_data)
 
-
-
-            # Prepare lists to collect data
-            buckets = []
-            messages = []
-            percentages = []
+            # Create consolidated table
+            # List of bucket columns
             bucket_columns = [
                 "Stability",
                 "Development",
@@ -670,6 +656,11 @@ def analyze_excel_single(file_path):
                 "Competence",
             ]
 
+            # Prepare lists to collect data
+            buckets = []
+            messages = []
+            percentages = []
+
             # Iterate through each bucket column
             for bucket in bucket_columns:
                 for index, value in results_df_builder[bucket].items():
@@ -684,11 +675,8 @@ def analyze_excel_single(file_path):
                 "TrustBuilders®": messages,
                 "%": percentages,
             }
-            df_builder_pivot = pd.DataFrame(builder_consolidated).style.applymap(
-                lambda _: f"background-color: {bucket_colors.get(_, '')}", 
-                subset=list(bucket_colors.keys())
-            )
 
+            df_builder_pivot = pd.DataFrame(builder_consolidated)
 
             # Define the order of the Trust Bucket® categories
             trust_driver_order = [
@@ -983,7 +971,7 @@ def variable_outputs(file_inputs):
                 visible=True,
             )
 
-            table_builder_2 = gr.HTML(
+            table_builder_2 = gr.Dataframe(
                 value=df_builder_pivot,
                 headers=list(df_builder_pivot.columns),
                 interactive=False,