Update app.py

app.py

@@ -1,23 +1,4 @@
-import gradio as gr
-import pandas as pd
-from datetime import datetime
-import pytz
-
-# Updated Gradio app for YunExpress with new header mappings and hyperlinks
-
-def process_file(file):
-    file_name = file.name.lower()
-    try:
-        if file_name.endswith(('.xls', '.xlsx', '.xlsm')):
-            # Read data from the "YunExpress" sheet
-            df = pd.read_excel(file.name, sheet_name="YunExpress")
-        else:
-            return f"Unsupported file format: {file_name}", None
-    except Exception as e:
-        return f"Error reading file: {e}", None
-
-    # New output headers as requested
-    output_headers = [
+
         "CustomerOrderNo.", "RoutingCode", "Trackingnumber", "AdditionalServices",
         "ShipmentProtectionPlusService", "SignatureService", "VatNumber", "EoriNumber",
         "IossCode", "CountryCode", "Name", "CertificateCode", "Company", "Street", "City",
@@ -61,16 +42,16 @@ def process_file(file):
     if "Shipping Province" in df.columns:
         output_df["Province/State"] = df["Shipping Province"]
 
-    # 6. ZipCode with US 4-digit padding using leading apostrophe
+    # 6. ZipCode with US 4-digit padding
     if "Shipping ZIP" in df.columns:
         output_df["ZipCode"] = df["Shipping ZIP"].astype(str)
     # 7. CountryCode
     if "Shipping Country Code" in df.columns:
         output_df["CountryCode"] = df["Shipping Country Code"]
-    # Pad US 4-digit Zips with apostrophe to preserve leading zero in Excel
+    # Pad US 4-digit Zips
     zip_str = output_df["ZipCode"].fillna("")
-    mask_us_zip = (output_df.get("CountryCode", "") == "US") & zip_str.str.match(r'^\d{4}$')
-    output_df.loc[mask_us_zip, "ZipCode"] = "'" + zip_str.str.zfill(5)
+    mask_us_zip = (output_df.get("CountryCode", "")=="US") & zip_str.str.match(r'^\d{4}$')
+    output_df.loc[mask_us_zip, "ZipCode"] = zip_str.str.zfill(5)
 
     # 8. phone
     if "Shipping Address Phone" in df.columns:
@@ -86,15 +67,20 @@ def process_file(file):
 
     # 11. Fixed defaults and conditional RoutingCode
     mask = output_df["CustomerOrderNo."].notna() & (output_df["CustomerOrderNo."] != "")
+    # Norway code
     mask_norway = mask & (output_df["CountryCode"] == "NO")
     mask_other  = mask & (output_df["CountryCode"] != "NO")
+    # RoutingCode assignments
     output_df.loc[mask_other, "RoutingCode"] = "HKTHZXR"
     output_df.loc[mask_norway, "RoutingCode"] = "HK-ASS-PF"
+    # Other fixed values
     output_df.loc[mask, "UnitPrice1"]              = 2
     output_df.loc[mask, "CurrencyCode"]            = "USD"
     output_df.loc[mask, "ItemDescription1"]        = "Eye Cosmetic Accessories"
     output_df.loc[mask, "UnitWeight1"]             = 0.02
+    # ForeignItemDescription1
     output_df.loc[mask, "ForeignItemDescription1"] = "Eye Cosmetic Accessories"
+    # EU AdditionalServices
     EU_COUNTRIES = {"AT","BE","BG","CY","CZ","DE","DK","EE","ES","FI",
                     "FR","HR","HU","IE","IT","LT","LU","LV","MT","NL",
                     "PL","PT","RO","SE","SI","SK","GR"}
@@ -145,4 +131,4 @@ with gr.Blocks(title="Shipping - YunExpress") as demo:
         """
     )
 
-demo.launch()
+demo.launch()