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app.py

@@ -48,8 +48,8 @@ def predict_sales():
       columns=['Product_Sugar_Content','Product_Type','Store_Id','Store_Size','Store_Location_City_Type','Store_Type'],
       drop_first=True,
     );
-
-    print(encoded_new_data);
+    print("The data entered are below")
+    print(jsonify(encoded_new_data))
 
     # Make a Sales prediction using the trained model
     prediction = model.predict(encoded_new_data).tolist()[0]