text-generation-webui/extensions/silero_tts/script.py
Φφ 5389fce8e1 Extensions performance & memory optimisations
Reworked remove_surrounded_chars() to use regular expression ( https://regexr.com/7alb5 ) instead of repeated string concatenations for elevenlab_tts, silero_tts, sd_api_pictures. This should be both faster and more robust in handling asterisks.

Reduced the memory footprint of send_pictures and sd_api_pictures by scaling the images in the chat to 300 pixels max-side wise. (The user already has the original in case of the sent picture and there's an option to save the SD generation).
This should fix history growing annoyingly large with multiple pictures present
2023-03-22 11:51:00 +03:00

166 lines
7.8 KiB
Python

import time
from pathlib import Path
import gradio as gr
import torch
import re
import modules.chat as chat
import modules.shared as shared
torch._C._jit_set_profiling_mode(False)
params = {
'activate': True,
'speaker': 'en_56',
'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']
# Used for making text xml compatible, needed for voice pitch and speed control
table = str.maketrans({
"<": "&lt;",
">": "&gt;",
"&": "&amp;",
"'": "&apos;",
'"': "&quot;",
})
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):
# regexp is way faster than repeated string concatenation!
# this expression matches to 'as few symbols as possible (0 upwards) between any asterisks' OR
# 'as few symbols as possible (0 upwards) between an asterisk and the end of the string'
return re.sub('\*[^\*]*?(\*|$)','',string)
def remove_tts_from_history(name1, name2):
for i, entry in enumerate(shared.history['internal']):
shared.history['visible'][i] = [shared.history['visible'][i][0], entry[1]]
return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character)
def toggle_text_in_history(name1, name2):
for i, entry in enumerate(shared.history['visible']):
visible_reply = entry[1]
if visible_reply.startswith('<audio'):
if params['show_text']:
reply = shared.history['internal'][i][1]
shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>\n\n{reply}"]
else:
shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>"]
return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character)
def input_modifier(string):
"""
This function is applied to your text inputs before
they are fed into the model.
"""
# Remove autoplay from the last reply
if (shared.args.chat or shared.args.cai_chat) and len(shared.history['internal']) > 0:
shared.history['visible'][-1] = [shared.history['visible'][-1][0], shared.history['visible'][-1][1].replace('controls autoplay>','controls>')]
shared.processing_message = "*Is recording a voice message...*"
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
original_string = string
string = remove_surrounded_chars(string)
string = string.replace('"', '')
string = string.replace('', '')
string = string.replace('\n', ' ')
string = string.strip()
if string == '':
string = '*Empty reply, try regenerating*'
else:
output_file = Path(f'extensions/silero_tts/outputs/{shared.character}_{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 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"):
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')
voice = gr.Dropdown(value=params['speaker'], choices=voices_by_gender, 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():
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)
convert_confirm.click(remove_tts_from_history, [shared.gradio['name1'], shared.gradio['name2']], shared.gradio['display'])
convert_confirm.click(lambda : chat.save_history(timestamp=False), [], [], show_progress=False)
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)
show_text.change(toggle_text_in_history, [shared.gradio['name1'], shared.gradio['name2']], shared.gradio['display'])
show_text.change(lambda : chat.save_history(timestamp=False), [], [], show_progress=False)
# 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)
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)