import time from pathlib import Path import gradio as gr import torch from extensions.silero_tts import tts_preprocessor from modules import chat, shared from modules.html_generator import chat_html_wrapper 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', 'local_cache_path': '' # User can override the default cache path to something other via settings.json } 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({ "<": "<", ">": ">", "&": "&", "'": "'", '"': """, }) 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=params['language'], 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=params['language'], speaker=params['model_id']) model.to(params['device']) return model def remove_tts_from_history(name1, name2, mode, style): for i, entry in enumerate(shared.history['internal']): shared.history['visible'][i] = [shared.history['visible'][i][0], entry[1]] return chat_html_wrapper(shared.history['visible'], name1, name2, mode, style) def toggle_text_in_history(name1, name2, mode, style): for i, entry in enumerate(shared.history['visible']): visible_reply = entry[1] if visible_reply.startswith('')[0]}\n\n{reply}"] else: shared.history['visible'][i] = [shared.history['visible'][i][0], f"{visible_reply.split('')[0]}"] return chat_html_wrapper(shared.history['visible'], name1, name2, mode, style) def state_modifier(state): state['stream'] = False return state 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.is_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, 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(string) if string == '': string = '*Empty reply, try regenerating*' else: output_file = Path(f'extensions/silero_tts/outputs/{shared.character}_{int(time.time())}.wav') prosody = ''.format(params['voice_speed'], params['voice_pitch']) silero_input = f'{prosody}{xmlesc(string)}' 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'' 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 setup(): global model model = load_model() 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) gr.Markdown('[Click here for Silero audio samples](https://oobabooga.github.io/silero-samples/index.html)') # 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[k] for k in ['name1', 'name2', 'mode', 'chat_style']], shared.gradio['display']) convert_confirm.click(chat.save_history, shared.gradio['mode'], [], 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[k] for k in ['name1', 'name2', 'mode', 'chat_style']], shared.gradio['display']) show_text.change(chat.save_history, shared.gradio['mode'], [], 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)