




from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional

from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand


try:
    from fastapi import Body, FastAPI, HTTPException
    from fastapi.routing import APIRoute
    from pydantic import BaseModel
    from starlette.responses import JSONResponse
    from uvicorn import run

    snake_case_ : Union[str, Any]    		=       True
except (ImportError, AttributeError):
    snake_case_ : str    		=       object


    def    A						(*__A   :    Tuple   ,				**__A   :    List[str]       )   ->      List[str]:







         """simple docstring"""


         pass


    snake_case_ : List[str]    		=       False


snake_case_ : Tuple    		=       logging.get_logger("transformers-cli/serving")


def    A						(__A   :    Namespace       )   ->      Optional[int]:







     """simple docstring"""


     UpperCAmelCase_          =							pipeline(
         task=args.task   ,				model=args.model if args.model else None   ,				config=args.config   ,				tokenizer=args.tokenizer   ,				device=args.device   ,				)
     return ServeCommand(__A   ,				args.host   ,				args.port   ,				args.workers       )







class __snake_case			(			a		):
   UpperCAmelCase__  :    dict







class __snake_case			(			a		):
   UpperCAmelCase__  :    List[str]
   UpperCAmelCase__  :    Optional[List[int]]







class __snake_case			(			a		):
   UpperCAmelCase__  :    str







class __snake_case			(			a		):
   UpperCAmelCase__  :    Any







class __snake_case			(			a		):







   @staticmethod
   def lowerCamelCase						(      _snake_case		:						ArgumentParser):

        """simple docstring"""


        UpperCAmelCase_          =							parser.add_parser(
            '''serve'''					,						help='''CLI tool to run inference requests through REST and GraphQL endpoints.''')
        serve_parser.add_argument(
            '''--task'''					,						type=_snake_case					,						choices=get_supported_tasks()					,						help='''The task to run the pipeline on'''					,						)
        serve_parser.add_argument('''--host'''					,						type=_snake_case					,						default='''localhost'''					,						help='''Interface the server will listen on.''')
        serve_parser.add_argument('''--port'''					,						type=_snake_case					,						default=8888					,						help='''Port the serving will listen to.''')
        serve_parser.add_argument('''--workers'''					,						type=_snake_case					,						default=1					,						help='''Number of http workers''')
        serve_parser.add_argument('''--model'''					,						type=_snake_case					,						help='''Model\'s name or path to stored model.''')
        serve_parser.add_argument('''--config'''					,						type=_snake_case					,						help='''Model\'s config name or path to stored model.''')
        serve_parser.add_argument('''--tokenizer'''					,						type=_snake_case					,						help='''Tokenizer name to use.''')
        serve_parser.add_argument(
            '''--device'''					,						type=_snake_case					,						default=-1					,						help='''Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)'''					,						)
        serve_parser.set_defaults(func=_snake_case)







   def __init__(      self		:						Tuple					,						_snake_case		:						Pipeline					,						_snake_case		:						str					,						_snake_case		:						int					,						_snake_case		:						int):

        """simple docstring"""


        UpperCAmelCase_          =							pipeline

        UpperCAmelCase_          =							host
        UpperCAmelCase_          =							port
        UpperCAmelCase_          =							workers

        if not _serve_dependencies_installed:
             raise RuntimeError(
                 '''Using serve command requires FastAPI and uvicorn. '''
                 '''Please install transformers with [serving]: pip install "transformers[serving]".'''
                 '''Or install FastAPI and uvicorn separately.''')
        else:
             logger.info(F"""Serving model over {host}:{port}""")
             UpperCAmelCase_          =							FastAPI(
                 routes=[
                     APIRoute(
                         '''/'''					,						self.model_info					,						response_model=_snake_case					,						response_class=_snake_case					,						methods=['''GET''']					,						),
                     APIRoute(
                         '''/tokenize'''					,						self.tokenize					,						response_model=_snake_case					,						response_class=_snake_case					,						methods=['''POST''']					,						),
                     APIRoute(
                         '''/detokenize'''					,						self.detokenize					,						response_model=_snake_case					,						response_class=_snake_case					,						methods=['''POST''']					,						),
                     APIRoute(
                         '''/forward'''					,						self.forward					,						response_model=_snake_case					,						response_class=_snake_case					,						methods=['''POST''']					,						),
                 ]					,						timeout=600					,						)







   def lowerCamelCase						(      self		:						Tuple):

        """simple docstring"""


        run(self._app					,						host=self.host					,						port=self.port					,						workers=self.workers)







   def lowerCamelCase						(      self		:						List[str]):

        """simple docstring"""


        return ServeModelInfoResult(infos=vars(self._pipeline.model.config))







   def lowerCamelCase						(      self		:						Tuple					,						_snake_case		:						str = Body(_snake_case					,						embed=_snake_case)					,						_snake_case		:						bool = Body(_snake_case					,						embed=_snake_case)):

        """simple docstring"""


        try:
             UpperCAmelCase_          =							self._pipeline.tokenizer.tokenize(_snake_case)

             if return_ids:
                  UpperCAmelCase_          =							self._pipeline.tokenizer.convert_tokens_to_ids(_snake_case)
                  return ServeTokenizeResult(tokens=_snake_case					,						tokens_ids=_snake_case)
             else:
                  return ServeTokenizeResult(tokens=_snake_case)

        except Exception as e:
             raise HTTPException(status_code=500					,						detail={'''model''': '''''', '''error''': str(_snake_case)})







   def lowerCamelCase						(      self		:						Tuple					,						_snake_case		:						List[int] = Body(_snake_case					,						embed=_snake_case)					,						_snake_case		:						bool = Body(_snake_case					,						embed=_snake_case)					,						_snake_case		:						bool = Body(_snake_case					,						embed=_snake_case)					,						):

        """simple docstring"""


        try:
             UpperCAmelCase_          =							self._pipeline.tokenizer.decode(_snake_case					,						_snake_case					,						_snake_case)
             return ServeDeTokenizeResult(model=''''''					,						text=_snake_case)
        except Exception as e:
             raise HTTPException(status_code=500					,						detail={'''model''': '''''', '''error''': str(_snake_case)})







   async def lowerCamelCase						(      self		:						List[Any]					,						_snake_case		:						Optional[int]=Body(_snake_case					,						embed=_snake_case)):

        """simple docstring"""


        if len(_snake_case) == 0:
             return ServeForwardResult(output=[]					,						attention=[])

        try:
             # Forward through the model
             UpperCAmelCase_          =							self._pipeline(_snake_case)
             return ServeForwardResult(output=_snake_case)
        except Exception as e:
             raise HTTPException(500					,						{'''error''': str(_snake_case)})












from datetime import datetime

import requests


def    A						(__A   :    str       )   ->      bytes:







     """simple docstring"""


     UpperCAmelCase_          =							'''https://downloadgram.net/wp-json/wppress/video-downloader/video?url='''
     UpperCAmelCase_          =							requests.get(base_url + url       ).json()[0]['''urls'''][0]['''src''']
     return requests.get(__A       ).content


if __name__ == "__main__":
    snake_case_ : Optional[Any]    		=       input("Enter Video/IGTV url: ").strip()
    snake_case_ : Any    		=       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}.")






