text: from __future__ import print_function
  
  from sklearn.externals import joblib
  import sys
  from utils import load_data,extract_features
  
  
  if len(sys.argv) < 2:
      print("Please enter a name...")
      print("Usage: python %s name" %sys.argv[0])
      sys.exit(-1)
  
  print("Predicting gender of: '%s'" %sys.argv[1])
  unknown_name = [sys.argv[1]]
  
  print("Loading model")
  clf = joblib.load("./model/finalised_model.sav")
  
  f = extract_features(unknown_name)
  gender = "Female" if clf.predict(f).squeeze() else "Male"
  
  print("'%s' is a: '%s'" %(unknown_name[0],gender))
  