



'''simple docstring'''



import re

from filelock import FileLock


try:
							import nltk

							lowerCAmelCase_     :       List[Any]								=						True
except (ImportError, ModuleNotFoundError):
							lowerCAmelCase_     :       str								=						False

if NLTK_AVAILABLE:
							with FileLock('.lock') as lock:
														nltk.download('punkt', quiet=True)
def 					UpperCAmelCase   (						A  :				str				):
							re.sub('''<n>'''					,		''''''					,		A				)  # remove pegasus newline char
							assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
							return "\n".join(nltk.sent_tokenize(A				)				)









'''simple docstring'''



from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
							if not (is_transformers_available() and is_torch_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ...utils.dummy_torch_and_transformers_objects import (
							    ImageTextPipelineOutput,
							    UniDiffuserPipeline,
							)
else:
							from .modeling_text_decoder import UniDiffuserTextDecoder
							from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
							from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline




