Update app.py

app.py

@@ -138,10 +138,10 @@ with tabs[1]:
         # Grouped Summary: for Last Mile Service == GOFO/USPS, grouped by MAWB + Channal_name
         st.subheader("GOFO/USPS Each Channel Cartons Summary")
         if 'Channal_name' in df_ctn.columns:
-        df_channel = df_ctn[
-            (df_ctn[last_mile_col].str.upper() == 'GOFO') |
-            (df_ctn[last_mile_col].str.upper() == 'USPS')
-        ]
+            df_channel = df_ctn[
+                (df_ctn[last_mile_col].str.upper() == 'GOFO') |
+                (df_ctn[last_mile_col].str.upper() == 'USPS')
+            ]
             grouped = df_channel.groupby(['MAWB', 'Channal_name']).size().reset_index(name='CTN Count')
             st.dataframe(grouped, use_container_width=True)
         else: