Update app.py

app.py

@@ -21,7 +21,7 @@ def safe_convert(value, default, min_val, max_val):
 # Create the main function for the model
 def main_func(Department, ChainScale, SupportiveGM, Merit, LearningDevelopment, WorkEnvironment, Engagement, WellBeing):
     
-    # These mappings are EXAMPLES only, not used in the model
+    
     ChainScale_mapping = {
         'Luxury': 1,
         'Upper Midscale': 2,
@@ -38,7 +38,7 @@ def main_func(Department, ChainScale, SupportiveGM, Merit, LearningDevelopment,
         "Guest Activities": 5,
     }
 
-    # Convert inputs to safe numeric values
+    
     LearningDevelopment = safe_convert(LearningDevelopment, 3.0, 1, 5)
     SupportiveGM = safe_convert(SupportiveGM, 3.0, 1, 5)
     Merit = safe_convert(Merit, 3.0, 1, 5)
@@ -46,7 +46,7 @@ def main_func(Department, ChainScale, SupportiveGM, Merit, LearningDevelopment,
     Engagement = safe_convert(Engagement, 3.0, 1, 5)
     WellBeing = safe_convert(WellBeing, 3.0, 1, 5)
 
-    # Only include model-relevant features
+    
     new_row = pd.DataFrame({
         'SupportiveGM': [SupportiveGM],
         'Merit': [Merit],
@@ -112,12 +112,12 @@ with gr.Blocks(title=title) as demo:
         with gr.Column():
             Department = gr.Radio(
                 ["Guest Services", "Food and Beverage", "Housekeeping", "Front Office Operations", "Guest Activities"],
-                label="Department (Example Only)", 
+                label="Department", 
                 value="Guest Services"
             )
             ChainScale = gr.Dropdown(
                 ["Luxury", "Upper Midscale", "Upper Upscale", "Upscale", "Independent"],
-                label="ChainScale (Example Only)", 
+                label="ChainScale (Example)", 
                 value="Upper Upscale"
             )
             SupportiveGM = gr.Slider(