

# 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 	A_		(	SCREAMING_SNAKE_CASE    ):
							_UpperCAmelCase   :  Tuple										=				'''philschmid/bart-large-cnn-samsum'''
							_UpperCAmelCase   :  int										=				(
							    '''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.'''
							)
							_UpperCAmelCase   :  List[str]										=				'''summarizer'''
							_UpperCAmelCase   :  Dict										=				AutoTokenizer
							_UpperCAmelCase   :  str										=				AutoModelForSeqaSeqLM

							_UpperCAmelCase   :  Dict										=				['''text''']
							_UpperCAmelCase   :  Any										=				['''text''']
							def    lowerCAmelCase					(		self		:      Any       ,SCREAMING_SNAKE_CASE__		:      Tuple):
								return self.pre_processor(SCREAMING_SNAKE_CASE__       ,return_tensors='pt'       ,truncation=SCREAMING_SNAKE_CASE__)
							def    lowerCAmelCase					(		self		:      Dict       ,SCREAMING_SNAKE_CASE__		:      Optional[int]):
								return self.model.generate(**SCREAMING_SNAKE_CASE__)[0]


							def    lowerCAmelCase					(		self		:      List[str]       ,SCREAMING_SNAKE_CASE__		:      Optional[Any]):
								return self.pre_processor.decode(SCREAMING_SNAKE_CASE__       ,skip_special_tokens=SCREAMING_SNAKE_CASE__       ,clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE__)







# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


a		=open  # noqa: we just need to have a builtin inside this module to test it properly




