





'''simple docstring'''
# 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,
)


a__							:							List[Any]			={
    '''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:
    a__							:							Any			=['''DocumentQuestionAnsweringTool''']
    a__							:							Dict			=['''ImageCaptioningTool''']
    a__							:							Optional[int]			=['''ImageQuestionAnsweringTool''']
    a__							:							str			=['''ImageSegmentationTool''']
    a__							:							Optional[Any]			=['''SpeechToTextTool''']
    a__							:							Any			=['''TextClassificationTool''']
    a__							:							int			=['''TextQuestionAnsweringTool''']
    a__							:							List[Any]			=['''TextSummarizationTool''']
    a__							:							Optional[Any]			=['''TextToSpeechTool''']
    a__							:							Dict			=['''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

    a__							:							Dict			=_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)







'''simple docstring'''
a__							:							int			='''
# Transformers installation
! pip install transformers datasets evaluate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

a__							:							List[Any]			=[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
a__							:							Dict			={
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}
