


"""simple docstring"""






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#
# 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
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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_		(			lowercase   ):





				"""simple docstring"""







				_lowerCAmelCase      :      Optional[int]      							=					"Salesforce/blip-image-captioning-base"
				_lowerCAmelCase      :      str      							=					(
				    "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."
				)
				_lowerCAmelCase      :      Optional[Any]      							=					"image_captioner"
				_lowerCAmelCase      :      int      							=					AutoModelForVisionaSeq

				_lowerCAmelCase      :      List[Any]      							=					["image"]
				_lowerCAmelCase      :      List[Any]      							=					["text"]



				def __init__(						self       ,		*UpperCAmelCase__       ,		**UpperCAmelCase__     ):
								requires_backends(self       ,		["vision"]     )
								super().__init__(*UpperCAmelCase__       ,		**UpperCAmelCase__     )



				def   lowerCAmelCase__		(						self       ,		UpperCAmelCase__     ):
								return self.pre_processor(images=UpperCAmelCase__       ,		return_tensors="pt"     )



				def   lowerCAmelCase__		(						self       ,		UpperCAmelCase__     ):
								return self.model.generate(**UpperCAmelCase__     )






				def   lowerCAmelCase__		(						self       ,		UpperCAmelCase__     ):
								return self.pre_processor.batch_decode(UpperCAmelCase__       ,		skip_special_tokens=UpperCAmelCase__     )[0].strip()




"""simple docstring"""






from transformers import BertTokenizerFast

from .custom_tokenization import CustomTokenizer


class 			lowerCamelCase_		(			lowercase   ):





				"""simple docstring"""







				_lowerCAmelCase      :      List[Any]      							=					CustomTokenizer
				pass
