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

import requests



def      __lowerCAmelCase						(							UpperCAmelCase__				:      str = "isbn/0140328726"       )  ->    dict:
							lowerCamelCase_							  =					olid.strip().strip("""/"""       )  # Remove leading/trailing whitespace & slashes
							if new_olid.count("""/"""       ) != 1:
														lowerCamelCase_							  =					F'''{olid} is not a valid Open Library olid'''
														raise ValueError(UpperCAmelCase__       )
							return requests.get(F'''https://openlibrary.org/{new_olid}.json'''       ).json()



def      __lowerCAmelCase						(							UpperCAmelCase__				:      dict       )  ->    dict:
							lowerCamelCase_							  =					{
							    """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)""",
							}
							lowerCamelCase_							  =					{better_key: ol_book_data[key] for key, better_key in desired_keys.items()}
							lowerCamelCase_							  =					[
							    get_openlibrary_data(author["""key"""]       )["""name"""] for author in data["""Authors"""]
							]
							lowerCamelCase_							  =					data["""First sentence"""]["""value"""]
							for key, value in data.items():
														if isinstance(UpperCAmelCase__			,				UpperCAmelCase__       ):
																					lowerCamelCase_							  =					""", """.join(UpperCAmelCase__       )
							return data


if __name__ == "__main__":
		import doctest

		doctest.testmod()

		while True:
				lowercase        =  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 (1_0, 1_3) 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:
						lowercase        =  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}.""")







# 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.
import torch

from ..models.auto import AutoModelForSequenceClassification, AutoTokenizer
from .base import PipelineTool





class       __A(				UpperCAmelCase       ):
					SCREAMING_SNAKE_CASE			    =    '''facebook/bart-large-mnli'''
					SCREAMING_SNAKE_CASE			    =    (
					    '''This is a tool that classifies an English text using provided labels. It takes two inputs: `text`, which '''
					    '''should be the text to classify, and `labels`, which should be the list of labels to use for classification. '''
					    '''It returns the most likely label in the list of provided `labels` for the input text.'''
					)
					SCREAMING_SNAKE_CASE			    =    '''text_classifier'''
					SCREAMING_SNAKE_CASE			    =    AutoTokenizer
					SCREAMING_SNAKE_CASE			    =    AutoModelForSequenceClassification

					SCREAMING_SNAKE_CASE			    =    ['''text''', ['''text''']]
					SCREAMING_SNAKE_CASE			    =    ['''text''']

					def    lowercase__      (	self					:     Union[str, Any]   ):
												super().setup()
												lowerCamelCase_							  =					self.model.config
												lowerCamelCase_							  =					-1
												for idx, label in config.idalabel.items():
																			if label.lower().startswith("""entail"""   ):
																										lowerCamelCase_							  =					int(__UpperCamelCase   )
												if self.entailment_id == -1:
																			raise ValueError("""Could not determine the entailment ID from the model config, please pass it at init."""   )

					def    lowercase__      (	self					:     Any   ,					__UpperCamelCase					:     List[Any]   ,					__UpperCamelCase					:     Optional[Any]   ):
												lowerCamelCase_							  =					labels
												return self.pre_processor(
												    [text] * len(__UpperCamelCase   )   ,					[F'''This example is {label}''' for label in labels]   ,					return_tensors="""pt"""   ,					padding="""max_length"""   ,					)



					def    lowercase__      (	self					:     List[Any]   ,					__UpperCamelCase					:     List[str]   ):
												lowerCamelCase_							  =					outputs.logits
												lowerCamelCase_							  =					torch.argmax(logits[:, 2]   ).item()
												return self._labels[label_id]





