Update app.py

app.py

@@ -116,7 +116,8 @@ with tabs[0]:
 
 with tabs[1]:
     st.header("Upload CTN File for Last Mile Summary")
-    ctn_files = st.file_uploader("Upload one or more Excel files with Last Mile Service", type=["xlsx"], key="ctn_upload", accept_multiple_files=True)
+    ctn_files = st.file_uploader("Upload one or more Excel files with Last Mile Service", 
+                                  type=["xlsx"], key="ctn_upload", accept_multiple_files=True)
 
     if ctn_files:
         df_list = []
@@ -126,23 +127,18 @@ with tabs[1]:
 
         df_ctn = pd.concat(df_list, ignore_index=True)
 
-        # Try to match the correct column
-        last_mile_col = [col for col in df_ctn.columns if "last mile" in col.lower()][0]
-
-        # Uploaded Preview: group by MAWB + Last Mile Service
-        st.subheader("MAWB Last Mile Cartons Count")
-        if 'MAWB' in df_ctn.columns:
-            preview_grouped = df_ctn.groupby(['MAWB', last_mile_col]).size().reset_index(name='CTN Count')
-            st.dataframe(preview_grouped, use_container_width=True)
-
-        # 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')
-            ]
-            grouped = df_channel.groupby(['MAWB', 'Channal_name']).size().reset_index(name='CTN Count')
-            st.dataframe(grouped, use_container_width=True)
+        # Columns of interest
+        carton_col = "No. Large box"
+        last_mile_col = "Last mile service"
+
+        # ✅ Count unique cartons by last mile service
+        st.subheader("Unique Cartons by Last Mile Service")
+        if carton_col in df_ctn.columns and last_mile_col in df_ctn.columns:
+            unique_summary = (
+                df_ctn.groupby(last_mile_col)[carton_col]
+                .nunique()
+                .reset_index(name="Unique Carton Count")
+            )
+            st.dataframe(unique_summary, use_container_width=True)
         else:
-            st.warning("Column 'Channal_name' not found in the uploaded file(s). Please ensure this column exists.")
+            st.warning(f"Columns '{carton_col}' or '{last_mile_col}' not found in uploaded file(s).")