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app.py

@@ -83,7 +83,7 @@ def predict_sales_batch():
         preds_rounded = [round(float(p), 2) for p in preds]
 
         # Map property/product ID to prediction
-        ids = input_df['id'].tolist()  # Ensure 'id' column exists in your batch data
+        ids = input_df['Product_Id'].tolist()  # Ensure 'id' column exists in your batch data
         results = dict(zip(ids, preds_rounded))
 
         return jsonify(results)