old_contents: import os
  import shutil
  
  import rasa.cli as cli
  from rasa.model import unpack_model
  
  from rasa_core.train import do_interactive_learning
  
  
  def add_subparser(subparsers, parents):
      interactive_parser = subparsers.add_parser(
          "interactive",
          conflict_handler="resolve",
          parents=parents,
          help="Teach the bot with interactive learning")
  
      cli.run.add_run_arguments(interactive_parser)
      cli.train.add_general_arguments(interactive_parser)
      cli.train.add_core_arguments(interactive_parser)
      cli.train.add_nlu_arguments(interactive_parser)
      _add_interactive_arguments(interactive_parser)
      interactive_parser.set_defaults(func=interactive)
  
  
  def _add_interactive_arguments(parser):
      parser.add_argument(
          "--skip_visualization",
          default=False,
          action="store_true",
          help="Disables plotting the visualization during "
               "interactive learning")
  
  
  def interactive(args):
      zipped_model = cli.train.train(args)
      model_path, core_path, nlu_path = unpack_model(zipped_model,
                                                     subdirectories=True)
      args.nlu = nlu_path
      args.core = core_path
  
      do_interactive_learning(args, args.stories)
  
      shutil.rmtree(model_path)
  
new_contents: import os
  import shutil
  
  import rasa.cli as cli
  from rasa.model import unpack_model
  
  from rasa_core.train import do_interactive_learning
  
  
  def add_subparser(subparsers, parents):
      interactive_parser = subparsers.add_parser(
          "interactive",
          conflict_handler="resolve",
          parents=parents,
          help="Teach the bot with interactive learning")
  
      cli.run.add_run_arguments(interactive_parser)
      cli.train.add_general_arguments(interactive_parser)
      cli.train.add_core_arguments(interactive_parser)
      cli.train.add_nlu_arguments(interactive_parser)
      _add_interactive_arguments(interactive_parser)
      interactive_parser.set_defaults(func=interactive)
  
  
  def _add_interactive_arguments(parser):
      parser.add_argument(
          "--skip_visualization",
          default=False,
          action="store_true",
          help="Disables plotting the visualization during "
               "interactive learning")
  
  
  def interactive(args):
      args.finetune = False # Don't support finetuning
  
      zipped_model = cli.train.train(args)
      model_path, core_path, nlu_path = unpack_model(zipped_model,
                                                     subdirectories=True)
      args.nlu = nlu_path
      args.core = core_path
  
      do_interactive_learning(args, args.stories)
  
      shutil.rmtree(model_path)
  
subject: disable finetuning by default