


'''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.
import torch

from ..models.speechta import SpeechTaForTextToSpeech, SpeechTaHifiGan, SpeechTaProcessor
from ..utils import is_datasets_available
from .base import PipelineTool


if is_datasets_available():
      from datasets import load_dataset



class      a    (		__UpperCamelCase	):


     """simple docstring"""






     SCREAMING_SNAKE_CASE	:			Optional[int]							       =       "microsoft/speecht5_tts"
     SCREAMING_SNAKE_CASE	:			List[Any]							       =       (
         "This is a tool that reads an English text out loud. It takes an input named `text` which should contain the "
         "text to read (in English) and returns a waveform object containing the sound."
     )
     SCREAMING_SNAKE_CASE	:			str							       =       "text_reader"
     SCREAMING_SNAKE_CASE	:			Optional[Any]							       =       SpeechTaProcessor
     SCREAMING_SNAKE_CASE	:			Any							       =       SpeechTaForTextToSpeech
     SCREAMING_SNAKE_CASE	:			Optional[Any]							       =       SpeechTaHifiGan

     SCREAMING_SNAKE_CASE	:			str							       =       ["text"]
     SCREAMING_SNAKE_CASE	:			Union[str, Any]							       =       ["audio"]

     def 			lowerCamelCase__			(    self					:		List[Any]      )						->							Optional[Any]:
          if self.post_processor is None:
               __UpperCAmelCase     :			Tuple  							=      """microsoft/speecht5_hifigan"""
          super().setup()

     def 			lowerCamelCase__			(    self					:		Any							,			snake_case					:		Optional[int]							,			snake_case					:		Tuple=None      )						->							Union[str, Any]:
          __UpperCAmelCase     :			str  							=      self.pre_processor(text=_lowerCAmelCase							,			return_tensors='''pt'''							,			truncation=_lowerCAmelCase      )

          if speaker_embeddings is None:
               if not is_datasets_available():
                    raise ImportError('''Datasets needs to be installed if not passing speaker embeddings.'''      )

               __UpperCAmelCase     :			List[Any]  							=      load_dataset('''Matthijs/cmu-arctic-xvectors'''							,			split='''validation'''      )
               __UpperCAmelCase     :			str  							=      torch.tensor(embeddings_dataset[7305]['''xvector''']      ).unsqueeze(0      )

          return {"input_ids": inputs["input_ids"], "speaker_embeddings": speaker_embeddings}

     def 			lowerCamelCase__			(    self					:		List[Any]							,			snake_case					:		Dict      )						->							Optional[Any]:
          with torch.no_grad():
               return self.model.generate_speech(**_lowerCAmelCase      )






     def 			lowerCamelCase__			(    self					:		Union[str, Any]							,			snake_case					:		int      )						->							List[str]:
          with torch.no_grad():
               return self.post_processor(_lowerCAmelCase      ).cpu().detach()



'''simple docstring'''



from argparse import ArgumentParser

from .env import EnvironmentCommand




def      _a     (						):





     '''simple docstring'''






     __UpperCAmelCase     :			Optional[Any]  							=      ArgumentParser('''Diffusers CLI tool'''      , usage='''diffusers-cli <command> [<args>]'''  )
     __UpperCAmelCase     :			Union[str, Any]  							=      parser.add_subparsers(help='''diffusers-cli command helpers'''  )

     # Register commands
     EnvironmentCommand.register_subcommand(_lowercase  )

     # Let's go
     __UpperCAmelCase     :			Union[str, Any]  							=      parser.parse_args()

     if not hasattr(_lowercase      , '''func'''  ):
          parser.print_help()
          exit(1  )

     # Run
     __UpperCAmelCase     :			Any  							=      args.func(_lowercase  )
     service.run()


if __name__ == "__main__":
      main()