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- from pathlib import Path
- import gradio as gr
- import torch
- import modules.shared as shared
- torch._C._jit_set_profiling_mode(False)
- params = {
- 'activate': True,
- 'speaker': 'en_5',
- 'language': 'en',
- 'model_id': 'v3_en',
- 'sample_rate': 48000,
- 'device': 'cpu',
- 'show_text': False,
- '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']
- last_msg_id = 0
- # 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 remove_surrounded_chars(string):
- new_string = ""
- in_star = False
- for char in string:
- if char == '*':
- in_star = not in_star
- elif not in_star:
- new_string += char
- return new_string
- def input_modifier(string):
- """
- This function is applied to your text inputs before
- they are fed into the model.
- """
- # Remove autoplay from previous
- if len(shared.history['internal'])>0:
- [text, reply] = shared.history['internal'][-1]
- [visible_text, visible_reply] = shared.history['visible'][-1]
- rep_clean = reply.replace('controls autoplay>','controls>')
- vis_rep_clean = visible_reply.replace('controls autoplay>','controls>')
- shared.history['internal'][-1] = [text, rep_clean]
- shared.history['visible'][-1] = [visible_text, vis_rep_clean]
- return string
- def output_modifier(string):
- """
- This function is applied to the model outputs.
- """
- global model, current_params
- for i in params:
- if params[i] != current_params[i]:
- model = load_model()
- current_params = params.copy()
- break
- if params['activate'] == False:
- return string
- orig_string = string
- string = remove_surrounded_chars(string)
- string = string.replace('"', '')
- string = string.replace('“', '')
- string = string.replace('\n', ' ')
- string = string.strip()
- silent_string = False # Used to prevent unnecessary audio file generation
- if string == '':
- string = 'empty reply, try regenerating'
- silent_string = True
- # x-slow, slow, medium, fast, x-fast
- # x-low, low, medium, high, x-high
- pitch = params['voice_pitch']
- speed = params['voice_speed']
- prosody=f'<prosody rate="{speed}" pitch="{pitch}">'
- string = '<speak>'+prosody+xmlesc(string)+'</prosody></speak>'
- current_msg_id = len(shared.history['visible']) # Check length here, since output_modifier can run many times on the same message
- output_file = Path(f'extensions/silero_tts/outputs/{shared.character}_{current_msg_id:06d}.wav')
- if not shared.still_streaming and not silent_string:
- model.save_wav(ssml_text=string, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
- string = f'<audio id="audio_{current_msg_id:06d}" src="file/{output_file.as_posix()}" controls autoplay></audio>\n\n'
- else:
- # Placeholder so text doesn't shift around so much
- string = '<audio controls></audio>\n\n'
- if params['show_text']:
- #string += f'*[{current_msg_id}]:*'+orig_string #Debug, looks like there is a delay in "current_msg_id" being updated when switching characters (updates after new message sent). Can't find the source. "shared.character" is updating properly.
- string += orig_string
- return string
- def bot_prefix_modifier(string):
- """
- This function is only applied in chat mode. It modifies
- the prefix text for the Bot and can be used to bias its
- behavior.
- """
- return string
- def ui():
- # Gradio elements
- with gr.Accordion("Silero TTS"):
- activate = gr.Checkbox(value=params['activate'], label='Activate TTS')
- show_text = gr.Checkbox(value=params['show_text'], label='Show message text under audio player')
- autoplay = gr.Checkbox(value=params['autoplay'], label='Play TTS automatically')
- voice = gr.Dropdown(value=params['speaker'], choices=voices_by_gender, label='TTS voice')
- v_pitch = gr.Dropdown(value=params['voice_pitch'], choices=voice_pitches, label='Voice pitch')
- v_speed = gr.Dropdown(value=params['voice_speed'], choices=voice_speeds, label='Voice speed')
- # Event functions to update the parameters in the backend
- activate.change(lambda x: params.update({"activate": x}), activate, None)
- show_text.change(lambda x: params.update({"show_text": x}), show_text, None)
- autoplay.change(lambda x: params.update({"autoplay": x}), autoplay, None)
- voice.change(lambda x: params.update({"speaker": x}), voice, None)
- v_pitch.change(lambda x: params.update({"voice_pitch": x}), v_pitch, None)
- v_speed.change(lambda x: params.update({"voice_speed": x}), v_speed, None)
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