




'''simple docstring'''




from datetime import datetime

import requests
def      __snake_case       (   lowercase   :							Dict  ):
					snake_case_	=      "https://downloadgram.net/wp-json/wppress/video-downloader/video?url="
					snake_case_	=      requests.get(base_url + url  ).json()[0]["urls"][0]["src"]
					return requests.get(SCREAMING_SNAKE_CASE_  ).content


if __name__ == "__main__":
					lowercase__  							=					input('''Enter Video/IGTV url: ''').strip()
					lowercase__  							=					f"""{datetime.now():%Y-%m-%d_%H:%M:%S}.mp4"""
					with open(file_name, '''wb''') as fp:
										fp.write(download_video(url))
					print(f"""Done. Video saved to disk as {file_name}.""")











'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE			=						logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE			=						{"openai-gpt": "https://huggingface.co/openai-gpt/resolve/main/config.json"}
class   __UpperCAmelCase				(     lowerCAmelCase				):



					'''simple docstring'''





					_UpperCamelCase							=		"""openai-gpt"""
					_UpperCamelCase							=		{
					    """max_position_embeddings""": """n_positions""",
					    """hidden_size""": """n_embd""",
					    """num_attention_heads""": """n_head""",
					    """num_hidden_layers""": """n_layer""",
					}



					def __init__(	self     :						Any      ,       _lowercase     :						List[Any]=40_478      ,       _lowercase     :						Tuple=512      ,       _lowercase     :						Dict=768      ,       _lowercase     :						List[str]=12      ,       _lowercase     :						Optional[int]=12      ,       _lowercase     :						Tuple="gelu"      ,       _lowercase     :						int=0.1      ,       _lowercase     :						Tuple=0.1      ,       _lowercase     :						Any=0.1      ,       _lowercase     :						List[str]=1E-5      ,       _lowercase     :						str=0.02      ,       _lowercase     :						Optional[Any]="cls_index"      ,       _lowercase     :						int=True      ,       _lowercase     :						str=None      ,       _lowercase     :						Tuple=True      ,       _lowercase     :						List[Any]=0.1      ,       **_lowercase     :						int      ,       )    ->							Optional[int]:
								A_									= vocab_size
								A_									= n_positions
								A_									= n_embd
								A_									= n_layer
								A_									= n_head
								A_									= afn
								A_									= resid_pdrop
								A_									= embd_pdrop
								A_									= attn_pdrop
								A_									= layer_norm_epsilon
								A_									= initializer_range
								A_									= summary_type
								A_									= summary_use_proj
								A_									= summary_activation
								A_									= summary_first_dropout
								A_									= summary_proj_to_labels
								super().__init__(**_lowercase)




