| import time | |
| from pathlib import Path | |
| import torch | |
| import tts_preprocessor | |
| torch._C._jit_set_profiling_mode(False) | |
| params = { | |
| 'activate': True, | |
| 'speaker': 'en_49', | |
| 'language': 'en', | |
| 'model_id': 'v3_en', | |
| 'sample_rate': 48000, | |
| 'device': 'cpu', | |
| 'show_text': True, | |
| 'autoplay': True, | |
| 'voice_pitch': 'medium', | |
| 'voice_speed': 'medium', | |
| } | |
| current_params = params.copy() | |
| voices_by_gender = ['en_99', 'en_45', 'en_18', 'en_117', 'en_49', 'en_51', 'en_68', 'en_0', 'en_26', 'en_56', 'en_74', 'en_5', 'en_38', 'en_53', 'en_21', 'en_37', 'en_107', 'en_10', 'en_82', 'en_16', 'en_41', 'en_12', 'en_67', 'en_61', 'en_14', 'en_11', 'en_39', 'en_52', 'en_24', 'en_97', 'en_28', 'en_72', 'en_94', 'en_36', 'en_4', 'en_43', 'en_88', 'en_25', 'en_65', 'en_6', 'en_44', 'en_75', 'en_91', 'en_60', 'en_109', 'en_85', 'en_101', 'en_108', 'en_50', 'en_96', 'en_64', 'en_92', 'en_76', 'en_33', 'en_116', 'en_48', 'en_98', 'en_86', 'en_62', 'en_54', 'en_95', 'en_55', 'en_111', 'en_3', 'en_83', 'en_8', 'en_47', 'en_59', 'en_1', 'en_2', 'en_7', 'en_9', 'en_13', 'en_15', 'en_17', 'en_19', 'en_20', 'en_22', 'en_23', 'en_27', 'en_29', 'en_30', 'en_31', 'en_32', 'en_34', 'en_35', 'en_40', 'en_42', 'en_46', 'en_57', 'en_58', 'en_63', 'en_66', 'en_69', 'en_70', 'en_71', 'en_73', 'en_77', 'en_78', 'en_79', 'en_80', 'en_81', 'en_84', 'en_87', 'en_89', 'en_90', 'en_93', 'en_100', 'en_102', 'en_103', 'en_104', 'en_105', 'en_106', 'en_110', 'en_112', 'en_113', 'en_114', 'en_115'] | |
| voice_pitches = ['x-low', 'low', 'medium', 'high', 'x-high'] | |
| voice_speeds = ['x-slow', 'slow', 'medium', 'fast', 'x-fast'] | |
| # Used for making text xml compatible, needed for voice pitch and speed control | |
| table = str.maketrans({ | |
| "<": "<", | |
| ">": ">", | |
| "&": "&", | |
| "'": "'", | |
| '"': """, | |
| }) | |
| def xmlesc(txt): | |
| return txt.translate(table) | |
| def load_model(): | |
| model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models', model='silero_tts', language=params['language'], speaker=params['model_id']) | |
| model.to(params['device']) | |
| return model | |
| model = load_model() | |
| def output_modifier(string): | |
| """ | |
| This function is applied to the model outputs. | |
| """ | |
| global model, current_params | |
| original_string = string | |
| string = tts_preprocessor.preprocess(string) | |
| processed_string = string | |
| if string == '': | |
| string = '*Empty reply, try regenerating*' | |
| else: | |
| output_file = Path(f'extensions/silero_tts/outputs/test_{int(time.time())}.wav') | |
| prosody = '<prosody rate="{}" pitch="{}">'.format(params['voice_speed'], params['voice_pitch']) | |
| silero_input = f'<speak>{prosody}{xmlesc(string)}</prosody></speak>' | |
| model.save_wav(ssml_text=silero_input, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file)) | |
| autoplay = 'autoplay' if params['autoplay'] else '' | |
| string = f'<audio src="file/{output_file.as_posix()}" controls {autoplay}></audio>' | |
| if params['show_text']: | |
| string += f'\n\n{original_string}\n\nProcessed:\n{processed_string}' | |
| print(string) | |
| if __name__ == '__main__': | |
| import sys | |
| output_modifier(sys.argv[1]) | |