



# Copyright 2023 The HuggingFace Inc. 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,
)


lowerCAmelCase					:				str   	={
    'agents': ['Agent', 'AzureOpenAiAgent', 'HfAgent', 'LocalAgent', 'OpenAiAgent'],
    'base': ['PipelineTool', 'RemoteTool', 'Tool', 'launch_gradio_demo', 'load_tool'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase					:				Dict   	=['DocumentQuestionAnsweringTool']
		lowerCAmelCase					:				Union[str, Any]   	=['ImageCaptioningTool']
		lowerCAmelCase					:				List[Any]   	=['ImageQuestionAnsweringTool']
		lowerCAmelCase					:				Union[str, Any]   	=['ImageSegmentationTool']
		lowerCAmelCase					:				List[Any]   	=['SpeechToTextTool']
		lowerCAmelCase					:				Tuple   	=['TextClassificationTool']
		lowerCAmelCase					:				str   	=['TextQuestionAnsweringTool']
		lowerCAmelCase					:				Union[str, Any]   	=['TextSummarizationTool']
		lowerCAmelCase					:				List[Any]   	=['TextToSpeechTool']
		lowerCAmelCase					:				Optional[int]   	=['TranslationTool']

if TYPE_CHECKING:
		from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
		from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .document_question_answering import DocumentQuestionAnsweringTool
				from .image_captioning import ImageCaptioningTool
				from .image_question_answering import ImageQuestionAnsweringTool
				from .image_segmentation import ImageSegmentationTool
				from .speech_to_text import SpeechToTextTool
				from .text_classification import TextClassificationTool
				from .text_question_answering import TextQuestionAnsweringTool
				from .text_summarization import TextSummarizationTool
				from .text_to_speech import TextToSpeechTool
				from .translation import TranslationTool
else:
		import sys

		lowerCAmelCase					:				Tuple   	=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






from typing import TYPE_CHECKING

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


lowerCAmelCase					:				Optional[int]   	={
    'configuration_speech_to_text_2': ['SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Speech2Text2Config'],
    'processing_speech_to_text_2': ['Speech2Text2Processor'],
    'tokenization_speech_to_text_2': ['Speech2Text2Tokenizer'],
}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		lowerCAmelCase					:				int   	=[
		    'SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'Speech2Text2ForCausalLM',
		    'Speech2Text2PreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_speech_to_text_a import SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP, SpeechaTextaConfig
		from .processing_speech_to_text_a import SpeechaTextaProcessor
		from .tokenization_speech_to_text_a import SpeechaTextaTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_speech_to_text_a import (
				    SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST,
				    SpeechaTextaForCausalLM,
				    SpeechaTextaPreTrainedModel,
				)

else:
		import sys

		lowerCAmelCase					:				Union[str, Any]   	=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

