Update app.py

app.py

@@ -9,11 +9,11 @@ def order_csv(file, supplier, order_number):
 
     # Define supplier-specific filters
     vendor_filters = {
-        "Supplier 1 ": lambda df: df[~df['Vendor'].isin(["Seed", "EverColor", "Candy Magic", "OLENS", "Fairy", "Shobido", "Geo Medical", "Ann365", "Lenstown", "LensVery"])],
-        "Supplier 2 ": lambda df: df[df['Vendor'].isin(["Candy Magic", "OLENS", "Fairy", "Shobido"])],
-        "Supplier 3 ": lambda df: df[df['Vendor'].isin(["Seed", "EverColor"])],
-        "Supplier 4 ": lambda df: df[df['Vendor'].isin(["Geo Medical", "Lenstown"])],
-        "Supplier 5 ": lambda df: df[df['Vendor'].isin(["Ann365", "LensVery"])]
+        "Supplier 1": lambda df: df[~df['Vendor'].isin(["Seed", "EverColor", "Candy Magic", "OLENS", "Fairy", "Shobido", "Geo Medical", "Ann365", "Lenstown", "LensVery"])],
+        "Supplier 2": lambda df: df[df['Vendor'].isin(["Candy Magic", "OLENS", "Fairy", "Shobido"])],
+        "Supplier 3": lambda df: df[df['Vendor'].isin(["Seed", "EverColor"])],
+        "Supplier 4": lambda df: df[df['Vendor'].isin(["Geo Medical", "Lenstown"])],
+        "Supplier 5": lambda df: df[df['Vendor'].isin(["Ann365", "LensVery"])]
     }
 
     # Apply supplier filter if selected