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# Copyright 2023 The HuggingFace 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 ...utils import (
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
)
_import_structure = {
"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:
_import_structure["modeling_bark"] = [
"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
sys.modules[__name__] = _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
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