Update app.py

app.py

@@ -3,10 +3,13 @@ import joblib
 import numpy as np
 import pandas as pd
 from sklearn.preprocessing import StandardScaler
+from huggingface_hub import hf_hub_download
 
-# Load the trained model from Hugging Face (if hosted there)
-# 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
+# Download the model from Hugging Face Hub
+model_path = hf_hub_download(repo_id="tajuarAkash/Health_Insurance_Fraud_detection_using_Random_forest", filename="random_forest_model.joblib")
+
+# Load the model from the downloaded path
+model = joblib.load(model_path)
 
 # Title and description for the app
 st.title("Insurance Claim Fraud Detection")