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app.py

@@ -53,7 +53,6 @@ def predict_product_sales():
             'Store_Location_City_Type': product_data['Store_Location_City_Type'],
             'Store_Type': product_data['Store_Type'],
             'Store_Age': 2025 - product_data['Store_Establishment_Year'],
-            'Product_Acronym': product_data['Product_Id'][:2],
             'Product_Perishability': feasibility_map[product_data['Product_Type']]
         }])
 

product_sales_total_prediction_v1_0.joblib

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:06d52391d1c6373dba57597b16045d07e09aaa7b7a74b98dc0b13e9239990918
-size 277736
+oid sha256:88da35739245e715eab0f25880edb5dda6af2ea24ae17e8bdeb2aa91d9e56028
+size 268896