docstr: export the model saved in the params_path to a hub module.
  
  Args:
      params_path(str): the model params save path.
      module_name(str): the module name.
      author(str): the author name.
      max_encode_len(int): the max encode length.
      max_decode_len(int): the max decode length.
      version(str): the version information.
      summary(str): the module brief introduction.
      author_email(str): the author email address.
      export_path(str): the module export path.
docstr_tok: ["export","the","model","saved","in","the","params_path","to","a","hub","module",".","Args",":","params_path","(","str",")",":","the","model","params","save","path",".","module_name","(","str",")",":","the","module","name",".","author","(","str",")",":","the","author","name",".","max_encode_len","(","int",")",":","the","max","encode","length",".","max_decode_len","(","int",")",":","the","max","decode","length",".","version","(","str",")",":","the","version","information",".","summary","(","str",")",":","the","module","brief","introduction",".","author_email","(","str",")",":","the","author","email","address",".","export_path","(","str",")",":","the","module","export","path","."]
code: def export(
      self,
      params_path,
      module_name,
      author,
      max_encode_len=50,
      max_decode_len=50,
      version="1.0.0",
      summary="",
      author_email="",
      export_path=".",
  ):
      """
      export the model saved in the params_path to a hub module.
  
      Args:
          params_path(str): the model params save path.
          module_name(str): the module name.
          author(str): the author name.
          max_encode_len(int): the max encode length.
          max_decode_len(int): the max decode length.
          version(str): the version information.
          summary(str): the module brief introduction.
          author_email(str): the author email address.
          export_path(str): the module export path.
      """
      if not os.path.exists(params_path):
          raise FileNotFoundError(
              "The path %s does not exist." % params_path
          )
      export_module_path = os.path.join(export_path, module_name)
      if not os.path.exists(export_module_path):
          os.makedirs(export_module_path)
      logger.info("Begin export the model save in %s ..." % params_path)
  
      assets_path = os.path.join(self.directory, "template", "assets")
      init_path = os.path.join(
          self.directory, "template", "__init__.py"
      )
      decode_path = os.path.join(
          self.directory, "template", "decode.py"
      )
      module_temp_path = os.path.join(
          self.directory, "template", "module.temp"
      )
  
      export_assets_path = os.path.join(export_module_path, "assets")
      export_params_path = os.path.join(
          export_module_path, "assets", "ernie_gen.pdparams"
      )
      export_init_path = os.path.join(export_module_path, "__init__.py")
      export_decode_path = os.path.join(export_module_path, "decode.py")
  
      if not os.path.exists(export_assets_path):
          os.makedirs(export_assets_path)
      shutil.copyfile(init_path, export_init_path)
      shutil.copyfile(params_path, export_params_path)
      shutil.copyfile(decode_path, export_decode_path)
  
      module_path = os.path.join(export_module_path, "module.py")
      with open(module_temp_path, encoding="utf8") as ftemp, open(
          module_path, "w"
      ) as fmodule:
          content = (
              ftemp.read()
              .replace(r"{module_name}", module_name)
              .replace(r"{author}", author)
              .replace(r"{version}", version)
              .replace(r"{summary}", summary)
              .replace(r"{author_email}", author_email)
              .replace(r"{max_encode_len}", str(max_encode_len))
              .replace(r"{max_decode_len}", str(max_decode_len))
          )
          fmodule.write(content)
  
      logger.info(
          "The module has exported to %s"
          % os.path.abspath(export_module_path)
      )
  
imports: import os
  import sys
  import shutil
  from copy import deepcopy
  import numpy
  import paddle
  import paddle.nn
  from paddle.io import DataLoader
  import paddlehub
  from paddlehub.common.logger import logger
  from paddlehub.module.module import moduleinfo
  from paddlenlp.datasets import MapDataset
  from paddlenlp.data import Stack, Tuple, Pad
  from paddlenlp.metrics import Rouge1, Rouge2
  from paddlenlp.transformers import ErnieTokenizer, ErnieForGeneration, LinearDecayWithWarmup
  from .encode import convert_example, after_padding
  from .decode import post_process, beam_search_infilling
  from .model import StackModel
label_desc: Use image node_id 4 for calling the ErnieGen obj's underlying member method code with example usage: obj.export(params_path, module_name, author, max_encode_len, max_decode_len, version, summary, author_email, export_path) without return types