




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCamelCase				:		Any     =   {"configuration_swin": ["SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP", "SwinConfig", "SwinOnnxConfig"]}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase				:		Any     =   [
     "SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
     "SwinForImageClassification",
     "SwinForMaskedImageModeling",
     "SwinModel",
     "SwinPreTrainedModel",
     "SwinBackbone",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowerCamelCase				:		Optional[Any]     =   [
     "TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST",
     "TFSwinForImageClassification",
     "TFSwinForMaskedImageModeling",
     "TFSwinModel",
     "TFSwinPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_swin import (
      SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
      SwinBackbone,
      SwinForImageClassification,
      SwinForMaskedImageModeling,
      SwinModel,
      SwinPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_swin import (
      TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
      TFSwinForImageClassification,
      TFSwinForMaskedImageModeling,
      TFSwinModel,
      TFSwinPreTrainedModel,
  )

else:
 import sys

 lowerCamelCase				:		int     =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)









from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
 lowerCamelCase				:		int     =   input("Enter image url: ").strip()
 print(F"""Downloading image from {url} ...""")
 lowerCamelCase				:		Tuple     =   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				:		int     =   soup.find("meta", {"property": "og:image"})["content"]
 lowerCamelCase				:		Dict     =   requests.get(image_url).content
 lowerCamelCase				:		Optional[int]     =   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}.""")



