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('')[0]}\n\n{reply}"] else: history['visible'][i] = [history['visible'][i][0], f"{visible_reply.split('')[0]}"] 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 = ''.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 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"" 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)) return f'' 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)