



"""simple docstring"""
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool


class  SCREAMING_SNAKE_CASE__			(				UpperCamelCase_ ):
    lowercase__  			= """philschmid/bart-large-cnn-samsum"""
    lowercase__  			= (
        """This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, """
        """and returns a summary of the text."""
    )
    lowercase__  			= """summarizer"""
    lowercase__  			= AutoTokenizer
    lowercase__  			= AutoModelForSeqaSeqLM

    lowercase__  			= ["""text"""]
    lowercase__  			= ["""text"""]

    def        _UpperCAmelCase						(					self      :					Tuple			,	lowerCAmelCase_      :					List[Any]):







      """simple docstring"""







      return self.pre_processor(a__			,	return_tensors="""pt"""			,	truncation=a__)

    def        _UpperCAmelCase						(					self      :					List[str]			,	lowerCAmelCase_      :					str):







      """simple docstring"""







      return self.model.generate(**a__)[0]




    def        _UpperCAmelCase						(					self      :					int			,	lowerCAmelCase_      :					Any):







      """simple docstring"""







      return self.pre_processor.decode(a__			,	skip_special_tokens=a__			,	clean_up_tokenization_spaces=a__)



'''simple docstring'''

import warnings
from functools import wraps
from typing import Callable


def        UpperCAmelCase_ (  lowerCamelCase_			):







 """simple docstring"""


 @wraps(lowerCamelCase_			)
 def _inner_fn(*lowerCamelCase_      ,			**lowerCamelCase_			):
  warnings.warn(
      (f'''\'{fn.__name__}\' is experimental and might be subject to breaking changes in the future.''')      ,			lowerCamelCase_      ,			)
  return fn(*lowerCamelCase_      ,			**lowerCamelCase_			)

 return _inner_fn





