Update app.py

app.py

@@ -49,11 +49,11 @@ def load_data(relative_path):
 
 # ----- Loading the key components
 # Loading the base dataframe
-rpath = r"data\train_data.csv"
+rpath = r"data/train_data.csv"
 df_loaded = load_data(rpath)
 
 # Loading the toolkit
-loaded_toolkit = load_ml_toolkit(r"src\Streamlit_toolkit")
+loaded_toolkit = load_ml_toolkit(r"src/Streamlit_toolkit")
 if "results" not in st.session_state:
     st.session_state["results"] = []
 
@@ -64,7 +64,7 @@ encoder = loaded_toolkit["encoder"]
 
 # Import the model
 model = XGBClassifier()
-model.load_model(r"src\xgb_model.json")
+model.load_model(r"src/xgb_model.json")
 
 
 # Define app sections