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app.py

@@ -63,7 +63,7 @@ def predict_sales_forecast_batch():
     predicted_sales = [round(float(Product_Store_Sales_Total), 2) for Product_Store_Sales_Total in predicted_sales]
 
     # Create a dictionary of predictions with Product IDs as keys
-    product_ids = input_data['Product_ID'].tolist()  # Assuming 'id' is the Product ID column
+    product_ids = input_data['Product_Id'].tolist()  
     output_dict = dict(zip(product_ids, predicted_sales))  # Use actual prices
 
     # Return the predictions dictionary as a JSON response