"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__UpperCamelCase       :    int         =		{
    "configuration_bark": [
        "BARK_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BarkCoarseConfig",
        "BarkConfig",
        "BarkFineConfig",
        "BarkSemanticConfig",
    ],
    "processing_bark": ["BarkProcessor"],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __UpperCamelCase       :    Dict         =		[
      "BARK_PRETRAINED_MODEL_ARCHIVE_LIST",
      "BarkFineModel",
      "BarkSemanticModel",
      "BarkCoarseModel",
      "BarkModel",
      "BarkPreTrainedModel",
      "BarkCausalModel",
  ]

if TYPE_CHECKING:
  from .configuration_bark import (
      BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
      BarkCoarseConfig,
      BarkConfig,
      BarkFineConfig,
      BarkSemanticConfig,
  )
  from .processing_bark import BarkProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_bark import (
        BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
        BarkCausalModel,
        BarkCoarseModel,
        BarkFineModel,
        BarkModel,
        BarkPreTrainedModel,
        BarkSemanticModel,
    )

else:
  import sys

  __UpperCamelCase       :    Optional[int]         =		_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
"""simple docstring"""


__UpperCamelCase       :    List[Any]         =		"\n# Diffusers installation\n! pip install diffusers transformers datasets accelerate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/diffusers.git\n"

__UpperCamelCase       :    Any         =		[{"type": "code", "content": INSTALL_CONTENT}]