Update app.py

app.py

@@ -8,7 +8,7 @@ import numpy as np
 import matplotlib.pyplot as plt
 
 # Load the XGBoost model from Pickle
-with open("h22_xgb_Final.pkl", "wb") as f:
+with open("h22_xgb_Final.pkl", "rb") as f:
     loaded_model = pickle.load(f)
 
 # Ensure model is a Booster (handles both XGBClassifier & Booster cases)