new_contents: import markovify
  import sys
  import argparse
  
  def main():
  	arg_parser = argparse.ArgumentParser(description="Generate text with Markov chains based on a source corpus.")
  	subparser = arg_parser.add_subparsers(dest="subparser_name")
  
  	subparser_train = subparser.add_parser("train")
  	subparser_train.add_argument("corpus", help="Path to a corpus to train with.")
  	subparser_train.add_argument("savepath", help="Path to where to save the model, in JSON format.")
  
  	subparser_generate = subparser.add_parser("generate")
  	subparser_generate.add_argument("savepath", help="Path to a model built with \"train\"")
  
  	args = arg_parser.parse_args()
  
  	if(args.subparser_name == "train"):
  		pass # TODO: Train.
  	elif(args.subparser_name == "generate"):
  		pass # TODO: Generate
  
  if __name__ == "__main__":
  	main()
  
subject: Create poorlytrained.py Implement argument parsing.