




# 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 					snake_case__							(_UpperCamelCase     ):
				"""simple docstring"""



				SCREAMING_SNAKE_CASE_ :							str											=      """microsoft/speecht5_tts"""
				SCREAMING_SNAKE_CASE_ :							Tuple											=      (
				    """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_ :							Tuple											=      """text_reader"""
				SCREAMING_SNAKE_CASE_ :							Optional[Any]											=      SpeechTaProcessor
				SCREAMING_SNAKE_CASE_ :							Optional[Any]											=      SpeechTaForTextToSpeech
				SCREAMING_SNAKE_CASE_ :							str											=      SpeechTaHifiGan

				SCREAMING_SNAKE_CASE_ :							Optional[Any]											=      ["""text"""]
				SCREAMING_SNAKE_CASE_ :							Dict											=      ["""audio"""]





				def 							__UpperCAmelCase							(   self       :  str							)      ->  List[str]:
							if self.post_processor is None:
										a					=    "microsoft/speecht5_hifigan"
							super().setup()





				def 							__UpperCAmelCase							(   self       :  List[str]      ,   __lowerCamelCase       :  List[Any]      ,   __lowerCamelCase       :  List[Any]=None							)      ->  Optional[Any]:
							a					=    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."							)

										a					=    load_dataset("Matthijs/cmu-arctic-xvectors"      ,   split="validation"							)
										a					=    torch.tensor(embeddings_dataset[73_05]["xvector"]							).unsqueeze(0							)

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





				def 							__UpperCAmelCase							(   self       :  List[Any]      ,   __lowerCamelCase       :  List[Any]							)      ->  Optional[int]:
							with torch.no_grad():
										return self.model.generate_speech(**__lowerCamelCase							)





				def 							__UpperCAmelCase							(   self       :  List[Any]      ,   __lowerCamelCase       :  Optional[Any]							)      ->  Optional[int]:
							with torch.no_grad():
										return self.post_processor(__lowerCamelCase							).cpu().detach()












# this script reports modified .py files under the desired list of top-level sub-dirs passed as a list of arguments, e.g.:
#   python ./utils/get_modified_files.py utils src tests examples
#
# it uses git to find the forking point and which files were modified - i.e. files not under git won't be considered
# since the output of this script is fed into Makefile commands it doesn't print a newline after the results

import re
import subprocess
import sys


__lowerCAmelCase	:       Tuple     =	subprocess.check_output('git merge-base main HEAD'.split()).decode('utf-8')
__lowerCAmelCase	:       Tuple     =	subprocess.check_output(F'''git diff --name-only {fork_point_sha}'''.split()).decode('utf-8').split()

__lowerCAmelCase	:       Dict     =	'|'.join(sys.argv[1:])
__lowerCAmelCase	:       List[Any]     =	re.compile(rF'''^({joined_dirs}).*?\.py$''')

__lowerCAmelCase	:       List[Any]     =	[x for x in modified_files if regex.match(x)]
print(' '.join(relevant_modified_files), end='')






