Update app.py

app.py

@@ -130,18 +130,21 @@ def main():
             with open("mcclf_cc.properties", "wb") as f:
                 f.write(mlf_file.read())
 
-            # # Create an instance of MarkovChainClassifier with the uploaded ML config file
-            # model = MarkovChainClassifier("cc.mod")
+            # Create an instance of MarkovChainClassifier with the uploaded ML config file
+            model = MarkovChainClassifier("cc.mod")
 
-            # Load the model from cc.mod
-            model = MarkovChainClassifier.load_model("cc.mod")
+            # # Load the model from cc.mod
+            # model = MarkovChainClassifier.load_model("cc.mod")
 
             # Get user input for userID
             user_id = st.text_input("Enter User ID")
             
             # Check if the "Predict" button was clicked
             if st.button("Predict"):
-            # Call the predict method of the MarkovChainClassifier instance
+                # Load the saved model
+                model.load_model("cc.mod")
+                
+                # Call the predict method of the MarkovChainClassifier instance
                 pred = model.predict()
                 if pred == 'T':
                     st.write(f"UserID: {user_id}, Prediction: Visitor is likely to convert into a customer.")