

# 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 				lowercase       ( lowercase_    ):
				__SCREAMING_SNAKE_CASE      :				Tuple     =    '''philschmid/bart-large-cnn-samsum'''
				__SCREAMING_SNAKE_CASE      :				Optional[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.'''
				)
				__SCREAMING_SNAKE_CASE      :				List[Any]     =    '''summarizer'''
				__SCREAMING_SNAKE_CASE      :				List[str]     =    AutoTokenizer
				__SCREAMING_SNAKE_CASE      :				List[str]     =    AutoModelForSeqaSeqLM

				__SCREAMING_SNAKE_CASE      :				Dict     =    ['''text''']
				__SCREAMING_SNAKE_CASE      :				Optional[Any]     =    ['''text''']




				def 					a							(      self   ,     snake_case ):
											return self.pre_processor(snake_case   ,     return_tensors='pt'   ,     truncation=snake_case )




				def 					a							(      self   ,     snake_case ):
											return self.model.generate(**snake_case )[0]




				def 					a							(      self   ,     snake_case ):
											return self.pre_processor.decode(snake_case   ,     skip_special_tokens=snake_case   ,     clean_up_tokenization_spaces=snake_case )







# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from ...utils import deprecate
from ..controlnet.multicontrolnet import MultiControlNetModel  # noqa: F401
from ..controlnet.pipeline_controlnet import StableDiffusionControlNetPipeline  # noqa: F401


deprecate(
    """stable diffusion controlnet""",
    """0.22.0""",
    """Importing `StableDiffusionControlNetPipeline` or `MultiControlNetModel` from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_controlnet is deprecated. Please import `from diffusers import StableDiffusionControlNetPipeline` instead.""",
    standard_warn=False,
    stacklevel=3,
)




