





# 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


_lowerCamelCase							=     'Here is a text containing a lot of information: \'\'\'{text}\'\'\'.\n\nCan you answer this question about the text: \'{question}\''




class 					UpperCamelCase_    (       UpperCamelCase__      ):
							lowerCamelCase_          =   "google/flan-t5-base"
							lowerCamelCase_          =   (
							    "This is a tool that answers questions related to a text. It takes two arguments named `text`, which is the "
							    "text where to find the answer, and `question`, which is the question, and returns the answer to the question."
							)
							lowerCamelCase_          =   "text_qa"
							lowerCamelCase_          =   AutoTokenizer
							lowerCamelCase_          =   AutoModelForSeqaSeqLM

							lowerCamelCase_          =   ["text", "text"]
							lowerCamelCase_          =   ["text"]


							def        _snake_case					(							self      :Optional[int]							,			__A      :str							,			__A      :str						)				->				Dict:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								= QA_PROMPT.format(text=__A							,			question=__A						)
									return self.pre_processor(__A							,			return_tensors="""pt"""						)


							def        _snake_case					(							self      :Any							,			__A      :List[str]						)				->				List[str]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								= self.model.generate(**__A						)

									SCREAMING_SNAKE_CASE__		,  SCREAMING_SNAKE_CASE__								= inputs["""input_ids"""].shape
									SCREAMING_SNAKE_CASE__								= output_ids.shape[0]

									return output_ids.reshape(__A							,			out_b // in_b							,			*output_ids.shape[1:]						)[0][0]


							def        _snake_case					(							self      :List[Any]							,			__A      :Optional[int]						)				->				Tuple:



									"""simple docstring"""



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






from typing import Callable






def 			SCREAMING_SNAKE_CASE__							(    UpperCamelCase__:							Callable      ):

		def wrapper(UpperCamelCase__:							List[Any]      ):
				SCREAMING_SNAKE_CASE__								= function_with_docstring.__doc__
				return target_function

		return wrapper