Update app.py

app.py

@@ -41,7 +41,7 @@ import pickle
 import numpy as np
 
 # Load the trained model
-with open("model-svm.pkl", "rb") as f:
+with open("model_AD.pkl", "rb") as f:
     model = pickle.load(f)
 
 def predict_pcos(age, weight, height, bmi, pulse_rate, cycle_length):