Update app.py

app.py

@@ -5,8 +5,8 @@ import pandas as pd
 from sklearn.preprocessing import StandardScaler
 
 # Load the trained model from Hugging Face (if hosted there)
-# You can replace 'tajuarAkash/my-model' with the actual repository name on Hugging Face
-model = joblib.load('random_forest_model.joblib')  # For local file if uploaded to Space
+# If your model file is in a sub-folder like 'models', use the correct path
+model = joblib.load('random_forest_model.joblib')  # Correct this if needed
 
 # Title and description for the app
 st.title("Insurance Claim Fraud Detection")
@@ -55,7 +55,3 @@ if st.button('Predict Fraud'):
         st.write("This claim is predicted to be **fraudulent**.")
     else:
         st.write("This claim is predicted to be **legitimate**.")
-
-
-#second
-