



# 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 typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
							from PIL import Image
class 			_snake_case     (   lowercase__):
				UpperCamelCase__			:   Tuple       						="""Salesforce/blip-image-captioning-base"""
				UpperCamelCase__			:   int       						=(
				    """This is a tool that generates a description of an image. It takes an input named `image` which should be the """
				    """image to caption, and returns a text that contains the description in English."""
				)
				UpperCamelCase__			:   Optional[int]       						="""image_captioner"""
				UpperCamelCase__			:   Optional[Any]       						=AutoModelForVisionaSeq

				UpperCamelCase__			:   Optional[Any]       						=["""image"""]
				UpperCamelCase__			:   str       						=["""text"""]




				def __init__(  self   :  int,   *__lowercase   :  Union[str, Any],   **__lowercase   :  Union[str, Any]  ):
							requires_backends(self,   ["vision"]  )
							super().__init__(*__lowercase,   **__lowercase  )




				def 							A__ (  self   :  List[Any],   __lowercase   :  "Image"  ):
							return self.pre_processor(images=__lowercase,   return_tensors="pt"  )




				def 							A__ (  self   :  int,   __lowercase   :  Union[str, Any]  ):
							return self.model.generate(**__lowercase  )




				def 							A__ (  self   :  List[Any],   __lowercase   :  Optional[int]  ):
							return self.pre_processor.batch_decode(__lowercase,   skip_special_tokens=__lowercase  )[0].strip()









from collections import namedtuple

import requests
from lxml import html  # type: ignore

lowercase_						=       namedtuple("""covid_data""", """cases deaths recovered""")



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_ = "https://www.worldometers.info/coronavirus/"					):
			lowercase__   					=			"//div[@class = \"maincounter-number\"]/span/text()"
			return covid_data(*html.fromstring(requests.get(SCREAMING_SNAKE_CASE_					).content					).xpath(SCREAMING_SNAKE_CASE_					)					)


lowercase_						=       """Total COVID-19 cases in the world: {}
Total deaths due to COVID-19 in the world: {}
Total COVID-19 patients recovered in the world: {}"""




print(fmt.format(*covid_stats()))




