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app.py

@@ -76,7 +76,7 @@ def predict_store_sales_batch():
     input_data = pd.read_csv(file)
 
     # Make predictions for all properties in the DataFrame (get store_saless)
-    predicted_store_sales = model.predict(input_data.drop("Product_Id",axis=1)).tolist()
+    predicted_sales = model.predict(input_data.drop("Product_Id",axis=1)).tolist()
 
     # Create a dictionary of predictions with property IDs as keys
     property_ids = input_data['Product_Id'].tolist()  # Assuming 'id' is the property ID column