Update app.py

app.py

@@ -149,8 +149,9 @@ import numpy as np
 import joblib
 
 # Load the saved Gradient Boosting model
-loaded_model = joblib.load('dlmodel.pkl')
-
+import pickle
+with open('dlmodel.pkl', 'rb') as f:
+    loaded_model = pickle.load(f)
 def predict_conc(pdiff):
     if pdiff>3.19:
         return 0