
# 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     _SCREAMING_SNAKE_CASE     (      snake_case_						):
	lowerCAmelCase__         = 'philschmid/bart-large-cnn-samsum'
	lowerCAmelCase__         = (
	    '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.'
	)
	lowerCAmelCase__         = 'summarizer'
	lowerCAmelCase__         = AutoTokenizer
	lowerCAmelCase__         = AutoModelForSeqaSeqLM

	lowerCAmelCase__         = ['text']
	lowerCAmelCase__         = ['text']



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase )				->       Optional[int]:
					return self.pre_processor(lowercase						,  return_tensors="pt"						,  truncation=lowercase )



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase )				->       List[Any]:
					return self.model.generate(**lowercase )[0]



	def     SCREAMING_SNAKE_CASE_(    self						,  lowercase )				->       str:
					return self.pre_processor.decode(lowercase						,  skip_special_tokens=lowercase						,  clean_up_tokenization_spaces=lowercase )








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


SCREAMING_SNAKE_CASE__       :      List[Any]  =   {'processing_layoutxlm': ['LayoutXLMProcessor']}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__       :      Optional[Any]  =   ['LayoutXLMTokenizer']

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       SCREAMING_SNAKE_CASE__       :      Dict  =   ['LayoutXLMTokenizerFast']

if TYPE_CHECKING:
       from .processing_layoutxlm import LayoutXLMProcessor

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_layoutxlm import LayoutXLMTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
       import sys

       SCREAMING_SNAKE_CASE__       :      str  =   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






