


"""simple docstring"""






# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# 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.
from typing import TYPE_CHECKING

from ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
							from PIL import Image





class      lowerCamelCase__   (     A				):







					"""simple docstring"""


					__a	       =							"""Salesforce/blip-image-captioning-base"""
					__a	       =							(
					    """This is a tool that generates a description of an image. It takes an input named `image` which should be the """
					    """image to caption, and returns a text that contains the description in English."""
					)
					__a	       =							"""image_captioner"""
					__a	       =							AutoModelForVisionaSeq

					__a	       =							["""image"""]
					__a	       =							["""text"""]






					def __init__(       self    : Any ,       *UpperCamelCase    : Union[str, Any] ,       **UpperCamelCase    : Optional[int]  ):
												'''simple docstring'''






												requires_backends(self ,       ["""vision"""]  )
												super().__init__(*UpperCamelCase ,       **UpperCamelCase  )






					def lowerCamelCase__							(       self    : Dict ,       UpperCamelCase    : "Image"  ):
												'''simple docstring'''






												return self.pre_processor(images=UpperCamelCase ,       return_tensors="""pt"""  )






					def lowerCamelCase__							(       self    : str ,       UpperCamelCase    : Any  ):
												'''simple docstring'''






												return self.model.generate(**UpperCamelCase  )






					def lowerCamelCase__							(       self    : List[Any] ,       UpperCamelCase    : int  ):
												'''simple docstring'''






												return self.pre_processor.batch_decode(UpperCamelCase ,       skip_special_tokens=UpperCamelCase  )[0].strip()




"""simple docstring"""






import re
def      lowerCamelCase       (     _UpperCamelCase		:      str							)		->       str:

							'''simple docstring'''



							if len(re.findall("""[ATCG]"""       ,			_UpperCamelCase							)							) != len(_UpperCamelCase							):
														raise ValueError("""Invalid Strand"""							)

							return dna.translate(dna.maketrans("""ATCG"""       ,			"""TAGC"""							)							)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
