Update app.py

app.py

@@ -98,27 +98,27 @@ def show_map(date_str, rep):
         lat="Latitude", lon="Longitude",
         text=["End"], color_discrete_sequence=["red"]).data[0])
 
-    fig.update_layout(mapbox_style="open-street-map", title=f"\U0001F4CD {rep}'s Route on {date_str}")
+    fig.update_layout(mapbox_style="open-street-map", title=f"{rep}'s Route on {date_str}")
 
     table = subset[[ 
         'Visit Order', 'Dealership', 'Time', 'Time Diff (min)', 
         'Interaction Type', 'Product'
     ]].rename(columns={
-        'Dealership': '\U0001F9ED Dealer',
-        'Time': '\U0001F552 Time',
-        'Time Diff (min)': '\u23F1\ufe0f Time Spent',
-        'Interaction Type': '\ud83d\udcde Interaction',
-        'Product': '\ud83d\udcbc Product Type'
+        'Dealership': 'Dealer',
+        'Time': 'Time',
+        'Time Diff (min)': 'Time Spent (min)',
+        'Interaction Type': 'Interaction',
+        'Product': 'Product Type'
     })
 
-    total_time = round(table['⏱️ Time Spent'].sum(), 2)
+    total_time = round(table['Time Spent (min)'].sum(), 2)
     summary_row = pd.DataFrame([{
         'Visit Order': '',
-        '🧭 Dealer': f"🧮 Total Time: {total_time} min",
-        '🕒 Time': '',
-        '⏱️ Time Spent': '',
-        '📞 Interaction': '',
-        '💼 Product Type': ''
+        'Dealer': f"Total Time: {total_time} min",
+        'Time': '',
+        'Time Spent (min)': '',
+        'Interaction': '',
+        'Product Type': ''
     }])
     table = pd.concat([table, summary_row], ignore_index=True)
     return table, fig