


'''simple docstring'''



from ..models.auto import AutoModelForSeqaSeqLM, AutoTokenizer
from .base import PipelineTool






class 	UpperCamelCase__(       lowerCAmelCase	):
				__magic_name__    :				Optional[Any]  		=	"philschmid/bart-large-cnn-samsum"
				__magic_name__    :				Optional[int]  		=	(
				    "This is a tool that summarizes an English text. It takes an input `text` containing the text to summarize, "
				    "and returns a summary of the text."
				)
				__magic_name__    :				Tuple  		=	"summarizer"
				__magic_name__    :				int  		=	AutoTokenizer
				__magic_name__    :				Dict  		=	AutoModelForSeqaSeqLM

				__magic_name__    :				Tuple  		=	["text"]
				__magic_name__    :				int  		=	["text"]




				def 					a__(		self      :			List[str]				,   lowerCAmelCase      :			Tuple				)->					Dict:

										"""simple docstring"""




										return self.pre_processor(lowerCAmelCase				,   return_tensors='''pt'''				,   truncation=lowerCAmelCase				)




				def 					a__(		self      :			str				,   lowerCAmelCase      :			Optional[Any]				)->					Optional[int]:

										"""simple docstring"""




										return self.model.generate(**lowerCAmelCase				)[0]





				def 					a__(		self      :			Optional[int]				,   lowerCAmelCase      :			Union[str, Any]				)->					Tuple:

										"""simple docstring"""




										return self.pre_processor.decode(lowerCAmelCase				,   skip_special_tokens=lowerCAmelCase				,   clean_up_tokenization_spaces=lowerCAmelCase				)









'''simple docstring'''



from typing import TYPE_CHECKING

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


_lowercase      :      Union[str, Any]            =					{
    """configuration_poolformer""": [
        """POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """PoolFormerConfig""",
        """PoolFormerOnnxConfig""",
    ]
}

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase      :      List[Any]            =					["""PoolFormerFeatureExtractor"""]
	_lowercase      :      Any            =					["""PoolFormerImageProcessor"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowercase      :      Tuple            =					[
	    """POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """PoolFormerForImageClassification""",
	    """PoolFormerModel""",
	    """PoolFormerPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_poolformer import (
	    POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    PoolFormerConfig,
	    PoolFormerOnnxConfig,
	)

	try:
		if not is_vision_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .feature_extraction_poolformer import PoolFormerFeatureExtractor
		from .image_processing_poolformer import PoolFormerImageProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_poolformer import (
		    POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    PoolFormerForImageClassification,
		    PoolFormerModel,
		    PoolFormerPreTrainedModel,
		)


else:
	import sys

	_lowercase      :      Dict            =					_LazyModule(__name__, globals()["""__file__"""], _import_structure)





