Update app.py

app.py

@@ -3,12 +3,12 @@ import pickle
 import numpy as np
 
 # store the pickle data in a file named 'payload.pkl'
-with open('log_reg_pkl', 'wb') as f:
+with open('log_reg_model.pkl', 'wb') as f:
     pickle.dump(var, f)
 
 # disassemble the pickle
 # and print the instructions to the command line
-with open('log_reg.pkl', 'rb') as f:
+with open('log_reg_model.pkl', 'rb') as f:
     pickletools.dis(f)
 
 # Define prediction function