mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-25 01:09:22 +01:00
Extract the Preprocessing for Silero into a file and Improve it (#757)
This commit is contained in:
da3dsoul
GitHub
parent
744bf7cbf2
commit
3f922d4bfb
@ -1,4 +1,5 @@
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ipython
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num2words
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omegaconf
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pydub
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PyYAML
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@ -1,14 +1,15 @@
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import re
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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 modules.chat as chat
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import modules.shared as shared
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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
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from modules.html_generator import chat_html_wrapper
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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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@ -26,7 +27,7 @@ current_params = params.copy()
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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']
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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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streaming_state = shared.args.no_stream # remember if chat streaming was enabled
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streaming_state = shared.args.no_stream # remember if chat streaming was enabled
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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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@ -37,26 +38,27 @@ table = str.maketrans({
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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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model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models', model='silero_tts', language=params['language'], speaker=params['model_id'])
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model.to(params['device'])
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return model
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model = load_model()
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def remove_surrounded_chars(string):
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# this expression matches to 'as few symbols as possible (0 upwards) between any asterisks' OR
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# 'as few symbols as possible (0 upwards) between an asterisk and the end of the string'
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return re.sub('\*[^\*]*?(\*|$)','',string)
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def remove_tts_from_history(name1, name2):
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def remove_tts_from_history(name1, name2, mode):
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for i, entry in enumerate(shared.history['internal']):
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shared.history['visible'][i] = [shared.history['visible'][i][0], entry[1]]
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return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character)
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return chat_html_wrapper(shared.history['visible'], name1, name2, mode)
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def toggle_text_in_history(name1, name2):
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def toggle_text_in_history(name1, name2, mode):
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for i, entry in enumerate(shared.history['visible']):
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visible_reply = entry[1]
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if visible_reply.startswith('<audio'):
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@ -65,7 +67,8 @@ def toggle_text_in_history(name1, name2):
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shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>\n\n{reply}"]
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else:
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shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('</audio>')[0]}</audio>"]
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return chat.generate_chat_output(shared.history['visible'], name1, name2, shared.character)
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return chat_html_wrapper(shared.history['visible'], name1, name2, mode)
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def input_modifier(string):
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"""
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@ -75,12 +78,13 @@ def input_modifier(string):
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# Remove autoplay from the last reply
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if shared.is_chat() and len(shared.history['internal']) > 0:
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shared.history['visible'][-1] = [shared.history['visible'][-1][0], shared.history['visible'][-1][1].replace('controls autoplay>','controls>')]
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shared.history['visible'][-1] = [shared.history['visible'][-1][0], shared.history['visible'][-1][1].replace('controls autoplay>', 'controls>')]
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shared.processing_message = "*Is recording a voice message...*"
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shared.args.no_stream = True # Disable streaming cause otherwise the audio output will stutter and begin anew every time the message is being updated
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shared.args.no_stream = True # Disable streaming cause otherwise the audio output will stutter and begin anew every time the message is being updated
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return string
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def output_modifier(string):
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"""
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This function is applied to the model outputs.
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@ -94,15 +98,11 @@ def output_modifier(string):
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current_params = params.copy()
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break
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if params['activate'] == False:
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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 = remove_surrounded_chars(string)
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string = string.replace('"', '')
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string = string.replace('“', '')
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string = string.replace('\n', ' ')
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string = string.strip()
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string = tts_preprocessor.preprocess(string)
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if string == '':
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string = '*Empty reply, try regenerating*'
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@ -118,9 +118,10 @@ def output_modifier(string):
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string += f'\n\n{original_string}'
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shared.processing_message = "*Is typing...*"
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shared.args.no_stream = streaming_state # restore the streaming option to the previous value
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shared.args.no_stream = streaming_state # restore the streaming option to the previous value
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return string
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def bot_prefix_modifier(string):
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"""
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This function is only applied in chat mode. It modifies
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@ -130,17 +131,20 @@ def bot_prefix_modifier(string):
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return string
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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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voice = gr.Dropdown(value=params['speaker'], choices=voices_by_gender, 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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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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@ -148,20 +152,20 @@ def ui():
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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(lambda :[gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, convert_arr)
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convert_confirm.click(remove_tts_from_history, [shared.gradio['name1'], shared.gradio['name2']], shared.gradio['display'])
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convert_confirm.click(lambda : chat.save_history(timestamp=False), [], [], show_progress=False)
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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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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(lambda: [gr.update(visible=False), gr.update(visible=True), gr.update(visible=False)], None, convert_arr)
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convert_confirm.click(remove_tts_from_history, [shared.gradio[k] for k in ['name1', 'name2', 'Chat mode']], shared.gradio['display'])
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convert_confirm.click(lambda: chat.save_history(timestamp=False), [], [], show_progress=False)
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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(lambda x: params.update({"show_text": x}), show_text, None)
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show_text.change(toggle_text_in_history, [shared.gradio['name1'], shared.gradio['name2']], shared.gradio['display'])
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show_text.change(lambda : chat.save_history(timestamp=False), [], [], show_progress=False)
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show_text.change(toggle_text_in_history, [shared.gradio[k] for k in ['name1', 'name2', 'Chat mode']], shared.gradio['display'])
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show_text.change(lambda: chat.save_history(timestamp=False), [], [], show_progress=False)
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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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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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v_speed.change(lambda x: params.update({"voice_speed": x}), v_speed, None)
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82
extensions/silero_tts/test_tts.py
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82
extensions/silero_tts/test_tts.py
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@ -0,0 +1,82 @@
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import time
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from pathlib import Path
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import torch
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import tts_preprocessor
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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_49',
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'language': 'en',
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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': True,
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'autoplay': True,
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'voice_pitch': 'medium',
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'voice_speed': 'medium',
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}
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current_params = params.copy()
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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']
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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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model, example_text = torch.hub.load(repo_or_dir='snakers4/silero-models', model='silero_tts', language=params['language'], speaker=params['model_id'])
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model.to(params['device'])
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return model
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model = load_model()
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def output_modifier(string):
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"""
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This function is applied to the model outputs.
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"""
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global model, current_params
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original_string = string
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string = tts_preprocessor.preprocess(string)
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processed_string = 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/test_{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}\n\nProcessed:\n{processed_string}'
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print(string)
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if __name__ == '__main__':
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import sys
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output_modifier(sys.argv[1])
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195
extensions/silero_tts/tts_preprocessor.py
Normal file
195
extensions/silero_tts/tts_preprocessor.py
Normal file
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import re
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from num2words import num2words
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punctuation = r'[\s,.?!/)\'\]>]'
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alphabet_map = {
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"A": " Ei ",
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"B": " Bee ",
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"C": " See ",
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"D": " Dee ",
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"E": " Eee ",
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"F": " Eff ",
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"G": " Jee ",
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"H": " Eich ",
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"I": " Eye ",
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"J": " Jay ",
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"K": " Kay ",
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"L": " El ",
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"M": " Emm ",
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"N": " Enn ",
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"O": " Ohh ",
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"P": " Pee ",
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"Q": " Queue ",
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"R": " Are ",
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"S": " Ess ",
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"T": " Tee ",
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"U": " You ",
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"V": " Vee ",
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"W": " Double You ",
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"X": " Ex ",
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"Y": " Why ",
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"Z": " Zed " # Zed is weird, as I (da3dsoul) am American, but most of the voice models sound British, so it matches
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}
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def preprocess(string):
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# the order for some of these matter
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# For example, you need to remove the commas in numbers before expanding them
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string = remove_surrounded_chars(string)
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string = string.replace('"', '')
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string = string.replace('\u201D', '').replace('\u201C', '') # right and left quote
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string = string.replace('\u201F', '') # italic looking quote
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string = string.replace('\n', ' ')
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string = convert_num_locale(string)
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string = replace_negative(string)
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string = replace_roman(string)
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string = hyphen_range_to(string)
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string = num_to_words(string)
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# TODO Try to use a ML predictor to expand abbreviations. It's hard, dependent on context, and whether to actually
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# try to say the abbreviation or spell it out as I've done below is not agreed upon
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# For now, expand abbreviations to pronunciations
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# replace_abbreviations adds a lot of unnecessary whitespace to ensure separation
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string = replace_abbreviations(string)
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string = replace_lowercase_abbreviations(string)
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# cleanup whitespaces
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# remove whitespace before punctuation
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string = re.sub(rf'\s+({punctuation})', r'\1', string)
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string = string.strip()
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# compact whitespace
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string = ' '.join(string.split())
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return string
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def remove_surrounded_chars(string):
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# this expression matches to 'as few symbols as possible (0 upwards) between any asterisks' OR
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# 'as few symbols as possible (0 upwards) between an asterisk and the end of the string'
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return re.sub(r'\*[^*]*?(\*|$)', '', string)
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def convert_num_locale(text):
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# This detects locale and converts it to American without comma separators
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pattern = re.compile(r'(?:\s|^)\d{1,3}(?:\.\d{3})+(,\d+)(?:\s|$)')
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result = text
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while True:
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match = pattern.search(result)
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if match is None:
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break
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start = match.start()
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end = match.end()
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result = result[0:start] + result[start:end].replace('.', '').replace(',', '.') + result[end:len(result)]
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# removes comma separators from existing American numbers
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pattern = re.compile(r'(\d),(\d)')
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result = pattern.sub(r'\1\2', result)
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return result
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def replace_negative(string):
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# handles situations like -5. -5 would become negative 5, which would then be expanded to negative five
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return re.sub(rf'(\s)(-)(\d+)({punctuation})', r'\1negative \3\4', string)
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def replace_roman(string):
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||||
# find a string of roman numerals.
|
||||
# Only 2 or more, to avoid capturing I and single character abbreviations, like names
|
||||
pattern = re.compile(rf'\s[IVXLCDM]{{2,}}{punctuation}')
|
||||
result = string
|
||||
while True:
|
||||
match = pattern.search(result)
|
||||
if match is None:
|
||||
break
|
||||
|
||||
start = match.start()
|
||||
end = match.end()
|
||||
result = result[0:start + 1] + str(roman_to_int(result[start + 1:end - 1])) + result[end - 1:len(result)]
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def roman_to_int(s):
|
||||
rom_val = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}
|
||||
int_val = 0
|
||||
for i in range(len(s)):
|
||||
if i > 0 and rom_val[s[i]] > rom_val[s[i - 1]]:
|
||||
int_val += rom_val[s[i]] - 2 * rom_val[s[i - 1]]
|
||||
else:
|
||||
int_val += rom_val[s[i]]
|
||||
return int_val
|
||||
|
||||
|
||||
def hyphen_range_to(text):
|
||||
pattern = re.compile(r'(\d+)[-–](\d+)')
|
||||
result = pattern.sub(lambda x: x.group(1) + ' to ' + x.group(2), text)
|
||||
return result
|
||||
|
||||
|
||||
def num_to_words(text):
|
||||
# 1000 or 10.23
|
||||
pattern = re.compile(r'\d+\.\d+|\d+')
|
||||
result = pattern.sub(lambda x: num2words(float(x.group())), text)
|
||||
return result
|
||||
|
||||
|
||||
def replace_abbreviations(string):
|
||||
# abbreviations 1 to 4 characters long. It will get things like A and I, but those are pronounced with their letter
|
||||
pattern = re.compile(rf'(^|[\s(.\'\[<])([A-Z]{{1,4}})({punctuation}|$)')
|
||||
result = string
|
||||
while True:
|
||||
match = pattern.search(result)
|
||||
if match is None:
|
||||
break
|
||||
|
||||
start = match.start()
|
||||
end = match.end()
|
||||
result = result[0:start] + replace_abbreviation(result[start:end]) + result[end:len(result)]
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def replace_lowercase_abbreviations(string):
|
||||
# abbreviations 1 to 4 characters long, separated by dots i.e. e.g.
|
||||
pattern = re.compile(rf'(^|[\s(.\'\[<])(([a-z]\.){{1,4}})({punctuation}|$)')
|
||||
result = string
|
||||
while True:
|
||||
match = pattern.search(result)
|
||||
if match is None:
|
||||
break
|
||||
|
||||
start = match.start()
|
||||
end = match.end()
|
||||
result = result[0:start] + replace_abbreviation(result[start:end].upper()) + result[end:len(result)]
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def replace_abbreviation(string):
|
||||
result = ""
|
||||
for char in string:
|
||||
result += match_mapping(char)
|
||||
|
||||
return result
|
||||
|
||||
|
||||
def match_mapping(char):
|
||||
for mapping in alphabet_map.keys():
|
||||
if char == mapping:
|
||||
return alphabet_map[char]
|
||||
|
||||
return char
|
||||
|
||||
|
||||
def __main__(args):
|
||||
print(preprocess(args[1]))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import sys
|
||||
__main__(sys.argv)
|
||||
Loading…
Reference in New Issue
Block a user