from typing import TYPE_CHECKING

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


UpperCAmelCase							=       {
    "configuration_imagegpt": ["IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ImageGPTConfig", "ImageGPTOnnxConfig"]
}

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase							=       ["ImageGPTFeatureExtractor"]
     UpperCAmelCase							=       ["ImageGPTImageProcessor"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase							=       [
         "IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "ImageGPTForCausalImageModeling",
         "ImageGPTForImageClassification",
         "ImageGPTModel",
         "ImageGPTPreTrainedModel",
         "load_tf_weights_in_imagegpt",
     ]


if TYPE_CHECKING:
     from .configuration_imagegpt import IMAGEGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, ImageGPTConfig, ImageGPTOnnxConfig

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_imagegpt import ImageGPTFeatureExtractor
          from .image_processing_imagegpt import ImageGPTImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_imagegpt import (
              IMAGEGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
              ImageGPTForCausalImageModeling,
              ImageGPTForImageClassification,
              ImageGPTModel,
              ImageGPTPreTrainedModel,
              load_tf_weights_in_imagegpt,
          )

else:
     import sys

     UpperCAmelCase							=       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




import requests
from bsa import BeautifulSoup






def 					SCREAMING_SNAKE_CASE_			(		lowerCAmelCase_: int ,	lowerCAmelCase_: str     ):
      snake_case_     :			Optional[int]       =       (
          "https://www.horoscope.com/us/horoscopes/general/"
          f"horoscope-general-daily-{day}.aspx?sign={zodiac_sign}"
      )
      snake_case_     :			int       =       BeautifulSoup(requests.get(lowerCAmelCase_     ).content ,	"html.parser"     )
      return soup.find("div" ,	class_="main-horoscope"     ).p.text


if __name__ == "__main__":
     print("Daily Horoscope. \n")
     print(
         "enter your Zodiac sign number:\n",
         "1. Aries\n",
         "2. Taurus\n",
         "3. Gemini\n",
         "4. Cancer\n",
         "5. Leo\n",
         "6. Virgo\n",
         "7. Libra\n",
         "8. Scorpio\n",
         "9. Sagittarius\n",
         "10. Capricorn\n",
         "11. Aquarius\n",
         "12. Pisces\n",
     )
     UpperCAmelCase							=       int(input("number> ").strip())
     print("choose some day:\n", "yesterday\n", "today\n", "tomorrow\n")
     UpperCAmelCase							=       input("enter the day> ")
     UpperCAmelCase							=       horoscope(zodiac_sign, day)
     print(horoscope_text)



