old_contents: import logging
  import os
  import shutil
  import typing
  from typing import Dict, Text
  
  from rasa.cli.utils import minimal_kwargs, print_warning, print_error
  from rasa.model import get_model, get_model_subdirectories
  
  logger = logging.getLogger(__name__)
  
  if typing.TYPE_CHECKING:
      from rasa.core.agent import Agent
  
  
  def run(
      model: Text,
      endpoints: Text,
      connector: Text = None,
      credentials: Text = None,
      **kwargs: Dict
  ):
      """Runs a Rasa model.
  
      Args:
          model: Path to model archive.
          endpoints: Path to endpoints file.
          connector: Connector which should be use (overwrites `credentials`
          field).
          credentials: Path to channel credentials file.
          **kwargs: Additional arguments which are passed to
          `rasa.core.run.serve_application`.
  
      """
      import rasa.core.run
      import rasa.nlu.run
      from rasa.core.utils import AvailableEndpoints
  
      model_path = get_model(model)
      if not model_path:
          print_error(
              "No model found. Train a model before running the "
              "server using `rasa train`."
          )
          return
  
      _endpoints = AvailableEndpoints.read_endpoints(endpoints)
  
      if not connector and not credentials:
          channel = "rest"
          print_warning(
              "No chat connector configured, falling back to the "
              "REST input channel.  To connect your bot to another channel, "
              "read the docs here: https://rasa.com/docs/core/connectors"
          )
      else:
          channel = connector
  
      kwargs = minimal_kwargs(kwargs, rasa.core.run.serve_application)
      rasa.core.run.serve_application(
          model, channel=channel, credentials=credentials, endpoints=_endpoints, **kwargs
      )
  
      shutil.rmtree(model_path)
  
  
  def create_agent(model: Text, endpoints: Text = None) -> "Agent":
      from rasa.core.tracker_store import TrackerStore
      from rasa.core import broker
      from rasa.core.utils import AvailableEndpoints
  
      _endpoints = AvailableEndpoints.read_endpoints(endpoints)
  
      _broker = broker.from_endpoint_config(_endpoints.event_broker)
  
      _tracker_store = TrackerStore.find_tracker_store(
          None, _endpoints.tracker_store, _broker
      )
  
      return Agent.load(
          model,
          generator=_endpoints.nlg,
          tracker_store=_tracker_store,
          action_endpoint=_endpoints.action,
      )
  
new_contents: import logging
  import os
  import shutil
  import typing
  from typing import Dict, Text
  
  from rasa.cli.utils import minimal_kwargs, print_warning, print_error
  from rasa.model import get_model, get_model_subdirectories
  
  logger = logging.getLogger(__name__)
  
  if typing.TYPE_CHECKING:
      from rasa.core.agent import Agent
  
  
  def run(
      model: Text,
      endpoints: Text,
      connector: Text = None,
      credentials: Text = None,
      **kwargs: Dict
  ):
      """Runs a Rasa model.
  
      Args:
          model: Path to model archive.
          endpoints: Path to endpoints file.
          connector: Connector which should be use (overwrites `credentials`
          field).
          credentials: Path to channel credentials file.
          **kwargs: Additional arguments which are passed to
          `rasa.core.run.serve_application`.
  
      """
      import rasa.core.run
      import rasa.nlu.run
      from rasa.core.utils import AvailableEndpoints
  
      model_path = get_model(model)
      if not model_path:
          print_error(
              "No model found. Train a model before running the "
              "server using `rasa train`."
          )
          return
  
      _endpoints = AvailableEndpoints.read_endpoints(endpoints)
  
      if not connector and not credentials:
          channel = "rest"
          print_warning(
              "No chat connector configured, falling back to the "
              "REST input channel. To connect your bot to another channel, "
              "read the docs here: https://rasa.com/docs/core/connectors"
          )
      else:
          channel = connector
  
      kwargs = minimal_kwargs(kwargs, rasa.core.run.serve_application)
      rasa.core.run.serve_application(
          model, channel=channel, credentials=credentials, endpoints=_endpoints, **kwargs
      )
  
      shutil.rmtree(model_path)
  
  
  def create_agent(model: Text, endpoints: Text = None) -> "Agent":
      from rasa.core.tracker_store import TrackerStore
      from rasa.core import broker
      from rasa.core.utils import AvailableEndpoints
  
      _endpoints = AvailableEndpoints.read_endpoints(endpoints)
  
      _broker = broker.from_endpoint_config(_endpoints.event_broker)
  
      _tracker_store = TrackerStore.find_tracker_store(
          None, _endpoints.tracker_store, _broker
      )
  
      return Agent.load(
          model,
          generator=_endpoints.nlg,
          tracker_store=_tracker_store,
          action_endpoint=_endpoints.action,
      )
  
subject: Remove whitespace