Update app.py

app.py

@@ -17,12 +17,12 @@ expected_inputs = ["sepal_length", "sepal_width", "petal_length", "petal_width"]
 
 # ----- Helper Functions
 # Function to load ML toolkit
-def load_ml_toolkit(file_path= r"src\Iris_App_toolkit"):
+def load_ml_toolkit(file_path= r"Iris_App_toolkit"):
     """
     This function loads the ML items into this file. It takes the path to the ML items to load it.
 
     Args:
-        file_path (regexp, optional): It receives the file path to the ML items, but defaults to the "src" folder in the repository. The full default relative path is r"src\Iris_App_toolkit".
+        file_path (regexp, optional): It receives the file path to the ML items, but defaults to the "src" folder in the repository. The full default relative path is r"Iris_App_toolkit".
 
     Returns:
         file: It returns the pickle file (which in this case contains the Machine Learning items.)
@@ -39,7 +39,7 @@ scaler = loaded_toolkit["scaler"]
 
 # Import the model
 model = XGBClassifier()
-model.load_model(r"src\xgb_model.json")
+model.load_model(r"xgb_model.json")
 
 
 # Function to process inputs and return prediction