





"""simple docstring"""






from json import JSONDecodeError  # Workaround for requests.exceptions.JSONDecodeError

import requests

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE = "isbn/0140328726"							)		->       dict:






       """simple docstring"""




       _UpperCAmelCase     =     olid.strip().strip('/'							)  # Remove leading/trailing whitespace & slashes
       if new_olid.count('/'							) != 1:
              _UpperCAmelCase     =     F"""{olid} is not a valid Open Library olid"""
              raise ValueError(SCREAMING_SNAKE_CASE							)
       return requests.get(F"""https://openlibrary.org/{new_olid}.json"""							).json()

def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE							)		->       dict:






       """simple docstring"""




       _UpperCAmelCase     =     {
           'title': 'Title',
           'publish_date': 'Publish date',
           'authors': 'Authors',
           'number_of_pages': 'Number of pages:',
           'first_sentence': 'First sentence',
           'isbn_10': 'ISBN (10)',
           'isbn_13': 'ISBN (13)',
       }
       _UpperCAmelCase     =     {better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
       _UpperCAmelCase     =     [
           get_openlibrary_data(author['key']							)['name'] for author in data['Authors']
       ]
       _UpperCAmelCase     =     data['First sentence']['value']
       for key, value in data.items():
              if isinstance(SCREAMING_SNAKE_CASE,SCREAMING_SNAKE_CASE							):
                     _UpperCAmelCase     =     ', '.join(SCREAMING_SNAKE_CASE							)
       return data


if __name__ == "__main__":
       import doctest

       doctest.testmod()

       while True:
              lowerCAmelCase_			=							input('''\nEnter the ISBN code to search (or \'quit\' to stop): ''').strip()
              if isbn.lower() in ("", "q", "quit", "exit", "stop"):
                     break

              if len(isbn) not in (10, 13) or not isbn.isdigit():
                     print(F'''Sorry, {isbn} is not a valid ISBN.  Please, input a valid ISBN.''')
                     continue

              print(F'''\nSearching Open Library for ISBN: {isbn}...\n''')

              try:
                     lowerCAmelCase_			=							summarize_book(get_openlibrary_data(F'''isbn/{isbn}'''))
                     print('''\n'''.join(F'''{key}: {value}''' for key, value in book_summary.items()))
              except JSONDecodeError:  # Workaround for requests.exceptions.RequestException:
                     print(F'''Sorry, there are no results for ISBN: {isbn}.''')













"""simple docstring"""






# 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 	lowerCAmelCase					(      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 							__A (   self    ,  a__     ):
              return self.pre_processor(a__    ,  return_tensors='pt'    ,  truncation=a__     )






       def 							__A (   self    ,  a__     ):
              return self.model.generate(**a__     )[0]






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






