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