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Merge pull request #192 from xanthousm/main

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Add text generation stream status to shared module, use for better TTS with auto-play
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oobabooga 2023-03-12 13:40:16 -03:00 committed by GitHub
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3 changed files with 132 additions and 11 deletions
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130
extensions/silero_tts/script.py
View file

@ -1,21 +1,45 @@
import re
import time
from pathlib import Path
import gradio as gr
import torch
import modules.chat as chat
import modules.shared as shared
torch._C._jit_set_profiling_mode(False)
params = {
'activate': True,
'speaker': 'en_56',
'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']
wav_idx = 0
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({
"<": "&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'])
@ -33,12 +57,59 @@ def remove_surrounded_chars(string):
new_string += char
return new_string
def remove_tts_from_history():
suffix = '_pygmalion' if 'pygmalion' in shared.model_name.lower() else ''
for i, entry in enumerate(shared.history['internal']):
reply = entry[1]
reply = re.sub("(<USER>|<user>|{{user}})", shared.settings[f'name1{suffix}'], reply)
if shared.args.chat:
reply = reply.replace('\n', '<br>')
shared.history['visible'][i][1] = reply
if shared.args.cai_chat:
return chat.generate_chat_html(shared.history['visible'], shared.settings[f'name1{suffix}'], shared.settings[f'name1{suffix}'], shared.character)
else:
return shared.history['visible']
def toggle_text_in_history():
suffix = '_pygmalion' if 'pygmalion' in shared.model_name.lower() else ''
audio_str='\n\n' # The '\n\n' used after </audio>
if shared.args.chat:
audio_str='<br><br>'
if params['show_text']==True:
#for i, entry in enumerate(shared.history['internal']):
for i, entry in enumerate(shared.history['visible']):
vis_reply = entry[1]
if vis_reply.startswith('<audio'):
reply = shared.history['internal'][i][1]
reply = re.sub("(<USER>|<user>|{{user}})", shared.settings[f'name1{suffix}'], reply)
if shared.args.chat:
reply = reply.replace('\n', '<br>')
shared.history['visible'][i][1] = vis_reply.split(audio_str,1)[0]+audio_str+reply
else:
for i, entry in enumerate(shared.history['visible']):
vis_reply = entry[1]
if vis_reply.startswith('<audio'):
shared.history['visible'][i][1] = vis_reply.split(audio_str,1)[0]+audio_str
if shared.args.cai_chat:
return chat.generate_chat_html(shared.history['visible'], shared.settings[f'name1{suffix}'], shared.settings[f'name1{suffix}'], shared.character)
else:
return shared.history['visible']
def input_modifier(string):
"""
This function is applied to your text inputs before
they are fed into the model.
"""
# Remove autoplay from previous chat history
if (shared.args.chat or shared.args.cai_chat)and len(shared.history['internal'])>0:
[visible_text, visible_reply] = shared.history['visible'][-1]
vis_rep_clean = visible_reply.replace('controls autoplay>','controls>')
shared.history['visible'][-1] = [visible_text, vis_rep_clean]
return string
def output_modifier(string):
@ -46,7 +117,7 @@ def output_modifier(string):
This function is applied to the model outputs.
"""
global wav_idx, model, current_params
global model, current_params
for i in params:
if params[i] != current_params[i]:
@ -57,20 +128,34 @@ def output_modifier(string):
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
output_file = Path(f'extensions/silero_tts/outputs/{wav_idx:06d}.wav')
model.save_wav(text=string, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
pitch = params['voice_pitch']
speed = params['voice_speed']
prosody=f'<prosody rate="{speed}" pitch="{pitch}">'
string = '<speak>'+prosody+xmlesc(string)+'</prosody></speak>'
string = f'<audio src="file/{output_file.as_posix()}" controls></audio>'
wav_idx += 1
if not shared.still_streaming and not silent_string:
output_file = Path(f'extensions/silero_tts/outputs/{shared.character}_{int(time.time())}.wav')
model.save_wav(ssml_text=string, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
autoplay_str = ' autoplay' if params['autoplay'] else ''
string = f'<audio src="file/{output_file.as_posix()}" controls{autoplay_str}></audio>\n\n'
else:
# Placeholder so text doesn't shift around so much
string = '<audio controls></audio>\n\n'
if params['show_text']:
string += orig_string
return string
@ -85,9 +170,36 @@ def bot_prefix_modifier(string):
def ui():
# Gradio elements
activate = gr.Checkbox(value=params['activate'], label='Activate TTS')
voice = gr.Dropdown(value=params['speaker'], choices=voices_by_gender, label='TTS voice')
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 chat history audio with message text')
convert_confirm = gr.Button('Confirm (cannot be undone)', variant="stop", visible=False)
convert_cancel = gr.Button('Cancel', 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['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['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)

1
modules/shared.py
View file

@ -11,6 +11,7 @@ is_RWKV = False
history = {'internal': [], 'visible': []}
character = 'None'
stop_everything = False
still_streaming = False
# UI elements (buttons, sliders, HTML, etc)
gradio = {}

12
modules/text_generation.py
View file

@ -187,6 +187,7 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
def generate_with_streaming(**kwargs):
return Iteratorize(generate_with_callback, kwargs, callback=None)
shared.still_streaming = True
yield formatted_outputs(original_question, shared.model_name)
with eval(f"generate_with_streaming({', '.join(generate_params)})") as generator:
for output in generator:
@ -196,13 +197,17 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
if not (shared.args.chat or shared.args.cai_chat):
reply = original_question + apply_extensions(reply[len(question):], "output")
yield formatted_outputs(reply, shared.model_name)
if output[-1] == n:
break
yield formatted_outputs(reply, shared.model_name)
shared.still_streaming = False
yield formatted_outputs(reply, shared.model_name)
# Stream the output naively for FlexGen since it doesn't support 'stopping_criteria'
else:
shared.still_streaming = True
for i in range(max_new_tokens//8+1):
clear_torch_cache()
with torch.no_grad():
@ -213,15 +218,18 @@ def generate_reply(question, max_new_tokens, do_sample, temperature, top_p, typi
if not (shared.args.chat or shared.args.cai_chat):
reply = original_question + apply_extensions(reply[len(question):], "output")
yield formatted_outputs(reply, shared.model_name)
if np.count_nonzero(input_ids[0] == n) < np.count_nonzero(output == n):
break
yield formatted_outputs(reply, shared.model_name)
input_ids = np.reshape(output, (1, output.shape[0]))
if shared.soft_prompt:
inputs_embeds, filler_input_ids = generate_softprompt_input_tensors(input_ids)
shared.still_streaming = False
yield formatted_outputs(reply, shared.model_name)
finally:
t1 = time.time()
print(f"Output generated in {(t1-t0):.2f} seconds ({(len(output)-len(original_input_ids[0]))/(t1-t0):.2f} tokens/s, {len(output)-len(original_input_ids[0])} tokens)")