





from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
						_lowerCAmelCase 				=     input("""Enter image url: """).strip()
						print(f'''Downloading image from {url} ...''')
						_lowerCAmelCase 				=     BeautifulSoup(requests.get(url).content, """html.parser""")
						# The image URL is in the content field of the first meta tag with property og:image
						_lowerCAmelCase 				=     soup.find("""meta""", {"""property""": """og:image"""})["""content"""]
						_lowerCAmelCase 				=     requests.get(image_url).content
						_lowerCAmelCase 				=     f'''{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'''
						with open(file_name, """wb""") as fp:
												fp.write(image_data)
						print(f'''Done. Image saved to disk as {file_name}.''')













# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team.
#
# 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.

# this script dumps information about the environment

import os
import sys

import transformers


_lowerCAmelCase 				=     """3"""

print("""Python version:""", sys.version)
print("""transformers version:""", transformers.__version__)

try:
      import torch

      print("""Torch version:""", torch.__version__)
      print("""Cuda available:""", torch.cuda.is_available())
      print("""Cuda version:""", torch.version.cuda)
      print("""CuDNN version:""", torch.backends.cudnn.version())
      print("""Number of GPUs available:""", torch.cuda.device_count())
      print("""NCCL version:""", torch.cuda.nccl.version())
except ImportError:
      print("""Torch version:""", None)

try:
      import deepspeed

      print("""DeepSpeed version:""", deepspeed.__version__)
except ImportError:
      print("""DeepSpeed version:""", None)

try:
      import tensorflow as tf

      print("""TensorFlow version:""", tf.__version__)
      print("""TF GPUs available:""", bool(tf.config.list_physical_devices("""GPU""")))
      print("""Number of TF GPUs available:""", len(tf.config.list_physical_devices("""GPU""")))
except ImportError:
      print("""TensorFlow version:""", None)






