text: import sys
  import argparse
  from toxic_classifier import ToxicClassifier
  import pandas as pd
  import time
  import os
  
  
  #Load config: 
  
  parser = argparse.ArgumentParser(description='GATE Toxic Classifier: test with large test sets.')
  parser.add_argument('-f', help='input file (csv format)')
  parser.add_argument('-l', help='language', choices=['en'], default='en')
  parser.add_argument('-c', help='classifier', choices=['kaggle'], default='kaggle')
  parser.add_argument('-g', help='gpu', type=bool, choices=[True, False], default=False)
  
  args = parser.parse_args()
  
  v_args = vars(args)
  
  f = v_args['f']
  
  l = v_args['l']
  
  g = v_args['g']
  
  classifier = ToxicClassifier(v_args['c'], l, g)
  
  df = pd.read_csv(f)
  
  start = time.time()
  for t in df['comment_text']:
      print(classifier.classify(t))
  end = time.time()
  print(end - start)
  