





'''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 ..models.auto import AutoModelForVisionaSeq
from ..utils import requires_backends
from .base import PipelineTool


if TYPE_CHECKING:
   from PIL import Image
class 			_lowercase						(       __a					):
     _UpperCAmelCase										=					'''Salesforce/blip-image-captioning-base'''
     _UpperCAmelCase										=					(
         '''This is a tool that generates a description of an image. It takes an input named `image` which should be the '''
         '''image to caption, and returns a text that contains the description in English.'''
     )
     _UpperCAmelCase										=					'''image_captioner'''
     _UpperCAmelCase										=					AutoModelForVisionaSeq

     _UpperCAmelCase										=					['''image''']
     _UpperCAmelCase										=					['''text''']







     def __init__( self    ,   *A__    ,   **A__    ) ->	Optional[Any]:
      requires_backends(self    ,   ['''vision''']    )
      super().__init__(*A__    ,   **A__    )







     def     UpperCamelCase			( self    ,   A__    ) ->	List[Any]:
      return self.pre_processor(images=A__    ,   return_tensors='''pt'''    )







     def     UpperCamelCase			( self    ,   A__    ) ->	Union[str, Any]:
      return self.model.generate(**A__    )







     def     UpperCamelCase			( self    ,   A__    ) ->	List[Any]:
      return self.pre_processor.batch_decode(A__    ,   skip_special_tokens=A__    )[0].strip()








'''simple docstring'''







from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
   from .notes_encoder import SpectrogramNotesEncoder
   from .continous_encoder import SpectrogramContEncoder
   from .pipeline_spectrogram_diffusion import (
       SpectrogramContEncoder,
       SpectrogramDiffusionPipeline,
       TaFilmDecoder,
   )

try:
   if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
   from .midi_utils import MidiProcessor

