



"""simple docstring"""






# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool






class 			__snake_case			(      _lowercase):
  snake_case__							:  int         =		"philschmid/bart-large-cnn-samsum"
  snake_case__							:  List[Any]         =		(
      "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."
  )
  snake_case__							:  int         =		"summarizer"
  snake_case__							:  Dict         =		AutoTokenizer
  snake_case__							:  Union[str, Any]         =		AutoModelForSeqaSeqLM

  snake_case__							:  List[str]         =		["text"]
  snake_case__							:  Union[str, Any]         =		["text"]




  def 		SCREAMING_SNAKE_CASE							(					self	:		Tuple		,   __lowerCAmelCase	:		str						):






         """simple docstring"""






         return self.pre_processor(__lowerCAmelCase		,   return_tensors='''pt'''		,   truncation=__lowerCAmelCase						)




  def 		SCREAMING_SNAKE_CASE							(					self	:		int		,   __lowerCAmelCase	:		Optional[Any]						):






         """simple docstring"""






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




  def 		SCREAMING_SNAKE_CASE							(					self	:		Optional[Any]		,   __lowerCAmelCase	:		Optional[Any]						):






         """simple docstring"""






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



"""simple docstring"""




def 				_UpperCAmelCase		(							lowerCamelCase__  ):





		"""simple docstring"""




		return " ".join(
		    """""".join(word[::-1]  ) if len(lowerCamelCase__  ) > 4 else word for word in sentence.split()  )


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			print(reverse_long_words("Hey wollef sroirraw"))




