

import argparse
import json

from tqdm import tqdm


def        __lowerCAmelCase    (       )		->							Dict:
 '''simple docstring'''


 SCREAMING_SNAKE_CASE								=			argparse.ArgumentParser()

 # Required parameters
 parser.add_argument(
     '--src_path'		,							type=lowercase_		,							default='biencoder-nq-dev.json'		,							help='Path to raw DPR training data'		,							)
 parser.add_argument(
     '--evaluation_set'		,							type=lowercase_		,							help='where to store parsed evaluation_set file'		,							)
 parser.add_argument(
     '--gold_data_path'		,							type=lowercase_		,							help='where to store parsed gold_data_path file'		,							)
 SCREAMING_SNAKE_CASE								=			parser.parse_args()

 with open(args.src_path		,							'r'	) as src_file, open(args.evaluation_set		,							'w'	) as eval_file, open(
     args.gold_data_path		,							'w'	) as gold_file:
  SCREAMING_SNAKE_CASE								=			json.load(lowercase_	)
  for dpr_record in tqdm(lowercase_	):
   SCREAMING_SNAKE_CASE								=			dpr_record["question"]
   SCREAMING_SNAKE_CASE								=			[context["title"] for context in dpr_record["positive_ctxs"]]
   eval_file.write(question + '\n'	)
   gold_file.write('\t'.join(lowercase_	) + '\n'	)


if __name__ == "__main__":
      main()





# 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.whisper import WhisperForConditionalGeneration, WhisperProcessor
from .base import PipelineTool




class      UpperCamelCase (     SCREAMING_SNAKE_CASE   ):
    __UpperCamelCase         ="openai/whisper-base"
    __UpperCamelCase         =(
        "This is a tool that transcribes an audio into text. It takes an input named `audio` and returns the "
        "transcribed text."
    )
    __UpperCamelCase         ="transcriber"
    __UpperCamelCase         =WhisperProcessor
    __UpperCamelCase         =WhisperForConditionalGeneration

    __UpperCamelCase         =["audio"]
    __UpperCamelCase         =["text"]

    def UpperCamelCase			(			self :      Dict							,    snake_case__ :      Tuple    ):

     """simple docstring"""






     return self.pre_processor(snake_case__							,    return_tensors='pt'    ).input_features

    def UpperCamelCase			(			self :      Optional[int]							,    snake_case__ :      Tuple    ):

     """simple docstring"""






     return self.model.generate(inputs=snake_case__    )




    def UpperCamelCase			(			self :      str							,    snake_case__ :      Union[str, Any]    ):

     """simple docstring"""






     return self.pre_processor.batch_decode(snake_case__							,    skip_special_tokens=snake_case__    )[0]

