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import html
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import json
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import random
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import time
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from pathlib import Path
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import gradio as gr
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import torch
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from extensions.silero_tts import tts_preprocessor
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from modules import chat, shared, ui_chat
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from modules.utils import gradio
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torch._C._jit_set_profiling_mode(False)
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params = {
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'activate': True,
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'speaker': 'en_56',
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'language': 'English',
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'model_id': 'v3_en',
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'sample_rate': 48000,
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'device': 'cpu',
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'show_text': False,
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'autoplay': True,
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'voice_pitch': 'medium',
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'voice_speed': 'medium',
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'local_cache_path': '' # User can override the default cache path to something other via settings.json
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}
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current_params = params.copy()
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with open(Path("extensions/silero_tts/languages.json"), encoding='utf8') as f:
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languages = json.load(f)
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voice_pitches = ['x-low', 'low', 'medium', 'high', 'x-high']
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voice_speeds = ['x-slow', 'slow', 'medium', 'fast', 'x-fast']
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# Used for making text xml compatible, needed for voice pitch and speed control
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table = str.maketrans({
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"<": "<",
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">": ">",
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"&": "&",
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"'": "'",
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'"': """,
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})
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def xmlesc(txt):
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return txt.translate(table)
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def load_model():
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torch_cache_path = torch.hub.get_dir() if params['local_cache_path'] == '' else params['local_cache_path']
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model_path = torch_cache_path + "/snakers4_silero-models_master/src/silero/model/" + params['model_id'] + ".pt"
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if Path(model_path).is_file():
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print(f'\nUsing Silero TTS cached checkpoint found at {torch_cache_path}')
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model, example_text = torch.hub.load(repo_or_dir=torch_cache_path + '/snakers4_silero-models_master/', model='silero_tts', language=languages[params['language']]["lang_id"], speaker=params['model_id'], source='local', path=model_path, force_reload=True)
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else:
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print(f'\nSilero TTS cache not found at {torch_cache_path}. Attempting to download...')
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model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models', model='silero_tts', language=languages[params['language']]["lang_id"], speaker=params['model_id'])
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model.to(params['device'])
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return model
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def remove_tts_from_history(history):
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for i, entry in enumerate(history['internal']):
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history['visible'][i] = [history['visible'][i][0], entry[1]]
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return history
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def toggle_text_in_history(history):
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for i, entry in enumerate(history['visible']):
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visible_reply = entry[1]
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if visible_reply.startswith('<audio'):
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if params['show_text']:
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reply = history['internal'][i][1]
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history['visible'][i] = [history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>\n\n{reply}"]
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else:
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history['visible'][i] = [history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>"]
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return history
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def state_modifier(state):
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if not params['activate']:
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return state
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state['stream'] = False
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return state
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def input_modifier(string, state):
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if not params['activate']:
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return string
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shared.processing_message = "*Is recording a voice message...*"
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return string
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def history_modifier(history):
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# Remove autoplay from the last reply
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if len(history['internal']) > 0:
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history['visible'][-1] = [
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history['visible'][-1][0],
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history['visible'][-1][1].replace('controls autoplay>', 'controls>')
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]
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return history
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def output_modifier(string, state):
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global model, current_params, streaming_state
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for i in params:
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if params[i] != current_params[i]:
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model = load_model()
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current_params = params.copy()
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break
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if not params['activate']:
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return string
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original_string = string
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string = tts_preprocessor.preprocess(html.unescape(string))
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if string == '':
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string = '*Empty reply, try regenerating*'
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else:
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output_file = Path(f'extensions/silero_tts/outputs/{state["character_menu"]}_{int(time.time())}.wav')
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prosody = '<prosody rate="{}" pitch="{}">'.format(params['voice_speed'], params['voice_pitch'])
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silero_input = f'<speak>{prosody}{xmlesc(string)}</prosody></speak>'
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model.save_wav(ssml_text=silero_input, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
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autoplay = 'autoplay' if params['autoplay'] else ''
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string = f'<audio src="file/{output_file.as_posix()}" controls {autoplay}></audio>'
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if params['show_text']:
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string += f'\n\n{original_string}'
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shared.processing_message = "*Is typing...*"
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return string
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def setup():
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global model
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model = load_model()
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def random_sentence():
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with open(Path("extensions/silero_tts/harvard_sentences.txt")) as f:
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return random.choice(list(f))
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def voice_preview(string):
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global model, current_params, streaming_state
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for i in params:
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if params[i] != current_params[i]:
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model = load_model()
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current_params = params.copy()
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break
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string = tts_preprocessor.preprocess(string or random_sentence())
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output_file = Path('extensions/silero_tts/outputs/voice_preview.wav')
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prosody = f"<prosody rate=\"{params['voice_speed']}\" pitch=\"{params['voice_pitch']}\">"
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silero_input = f'<speak>{prosody}{xmlesc(string)}</prosody></speak>'
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model.save_wav(ssml_text=silero_input, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
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return f'<audio src="file/{output_file.as_posix()}?{int(time.time())}" controls autoplay></audio>'
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def language_change(lang):
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global params
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params.update({"language": lang, "speaker": languages[lang]["default_voice"], "model_id": languages[lang]["model_id"]})
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return gr.update(choices=languages[lang]["voices"], value=languages[lang]["default_voice"])
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def custom_css():
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path_to_css = Path(__file__).parent.resolve() / 'style.css'
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return open(path_to_css, 'r').read()
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def ui():
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# Gradio elements
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with gr.Accordion("Silero TTS"):
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with gr.Row():
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activate = gr.Checkbox(value=params['activate'], label='Activate TTS')
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autoplay = gr.Checkbox(value=params['autoplay'], label='Play TTS automatically')
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show_text = gr.Checkbox(value=params['show_text'], label='Show message text under audio player')
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with gr.Row():
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language = gr.Dropdown(value=params['language'], choices=sorted(languages.keys()), label='Language')
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voice = gr.Dropdown(value=params['speaker'], choices=languages[params['language']]["voices"], label='TTS voice')
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with gr.Row():
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v_pitch = gr.Dropdown(value=params['voice_pitch'], choices=voice_pitches, label='Voice pitch')
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v_speed = gr.Dropdown(value=params['voice_speed'], choices=voice_speeds, label='Voice speed')
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with gr.Row():
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preview_text = gr.Text(show_label=False, placeholder="Preview text", elem_id="silero_preview_text")
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preview_play = gr.Button("Preview")
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preview_audio = gr.HTML(visible=False)
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with gr.Row():
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convert = gr.Button('Permanently replace audios with the message texts')
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convert_cancel = gr.Button('Cancel', visible=False)
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convert_confirm = gr.Button('Confirm (cannot be undone)', variant="stop", visible=False)
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# Convert history with confirmation
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convert_arr = [convert_confirm, convert, convert_cancel]
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convert.click(lambda: [gr.update(visible=True), gr.update(visible=False), gr.update(visible=True)], None, convert_arr)
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convert_confirm.click(
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lambda: [gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, convert_arr).then(
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remove_tts_from_history, gradio('history'), gradio('history')).then(
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chat.save_history, gradio('history', 'unique_id', 'character_menu', 'mode'), None).then(
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chat.redraw_html, gradio(ui_chat.reload_arr), gradio('display'))
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convert_cancel.click(lambda: [gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, convert_arr)
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# Toggle message text in history
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show_text.change(
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lambda x: params.update({"show_text": x}), show_text, None).then(
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toggle_text_in_history, gradio('history'), gradio('history')).then(
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chat.save_history, gradio('history', 'unique_id', 'character_menu', 'mode'), None).then(
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chat.redraw_html, gradio(ui_chat.reload_arr), gradio('display'))
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# Event functions to update the parameters in the backend
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activate.change(lambda x: params.update({"activate": x}), activate, None)
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autoplay.change(lambda x: params.update({"autoplay": x}), autoplay, None)
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language.change(language_change, language, voice, show_progress=False)
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voice.change(lambda x: params.update({"speaker": x}), voice, None)
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v_pitch.change(lambda x: params.update({"voice_pitch": x}), v_pitch, None)
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v_speed.change(lambda x: params.update({"voice_speed": x}), v_speed, None)
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# Play preview
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preview_text.submit(voice_preview, preview_text, preview_audio)
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preview_play.click(voice_preview, preview_text, preview_audio)
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