class_docstr: Handles hardcoded NLU predictions from messages starting with a `/`.
docstr: Creates a new untrained component (see parent class for full docstring).
docstr_tok: ["Creates","a","new","untrained","component","(","see","parent","class","for","full","docstring",")","."]
code: def create(
      cls,
      config: Dict[Text, Any],
      model_storage: ModelStorage,
      resource: Resource,
      execution_context: ExecutionContext,
  ) -> RegexMessageHandler:
      """Creates a new untrained component (see parent class for full docstring)."""
      return cls()
  
file_path: rasa/rasa/nlu/classifiers/regex_message_handler.py
imports: from __future__ import annotations
  import logging
  from typing import Any, Dict, Optional, Text, List
  from rasa.engine.graph import GraphComponent, ExecutionContext
  from rasa.engine.recipes.default_recipe import DefaultV1Recipe
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.extractors.extractor import EntityExtractorMixin
  from rasa.shared.core.domain import Domain
  from rasa.shared.core.training_data.story_reader.yaml_story_reader import YAMLStoryReader
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 1 for calling the RegexMessageHandler obj's underlying member method code with example usage: obj.create(cls, config, model_storage, resource, execution_context) and returns: cls