Update app.py

app.py

@@ -22,15 +22,9 @@ metric_choices = {
 
 # --- Description from your thesis in English ---
 description_text = """
-Interactive Map Dashboard
-
-This dashboard allows you to explore a Store's locations worldwide and analyze the data related to their traffic and reviews.  
-Some key points:
-- **Geographical presence**: Store's locations are mostly in the US and Europe.  
-- **Most visited locations**: High review counts often indicate busy restaurants.  
-- **Traffic analysis**: Variations in reviews and real-time traffic can suggest an increase or decrease in customer visits.  
-- **Caveats**: Review increases do not always correspond to more customers; they can reflect satisfaction or dissatisfaction.  
-- **Applications**: This approach can be applied to other chains and even real-time traffic monitoring.
+This map was created using data collected from Google Maps.
+The main objective was to monitor all the stores of a specific company in order to track customer traffic and gain some real-time insights into sales trends.
+This approach can be easily replicated for any other company.
 """
 
 # --- Function to update the map ---
@@ -65,7 +59,7 @@ def update_map(selected_label):
 # --- Gradio interface ---
 with gr.Blocks() as demo:
     # Title
-    gr.Markdown("<h1 style='text-align:center;color:#4B8BBE;'>Interactive Map of Store's Data</h1>")
+    gr.Markdown("<h1 style='text-align:center;color:#4B8BBE;'>Interactive Map</h1>")
     
     # Description at the top
     gr.Markdown(f"<p style='text-align:center;'>{description_text}</p>")