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app.py

@@ -19,6 +19,7 @@ def predict_sales():
     # Get JSON data from the request
     data = request.get_json()
 
+    print(f'data = {data}')
     # Extract relevant customer features from the input data. The order of the column names matters.
     sample = {
         'Product_Weight': data['Product_Weight'],
@@ -32,6 +33,7 @@ def predict_sales():
         'Product_Id_char': data['Product_Id_char'],
         'Store_Age_Years': data['Store_Age_Years'],
     }
+    print(f'sample = {sample}')
 
     # Convert the extracted data into a DataFrame and preprocess it
     input_data = pd.DataFrame([sample])