mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-09-20 18:45:09 +02:00
79 lines
1.9 KiB
Python
79 lines
1.9 KiB
Python
import asyncio
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from pathlib import Path
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import torch
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torch._C._jit_set_profiling_mode(False)
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params = {
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'speaker': 'en_21',
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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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}
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current_params = params.copy()
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wav_idx = 0
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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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new_string = ""
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in_star = False
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for char in string:
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if char == '*':
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in_star = not in_star
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elif not in_star:
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new_string += char
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return new_string
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def input_modifier(string):
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"""
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This function is applied to your text inputs before
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they are fed into the model.
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"""
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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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"""
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global wav_idx, model, current_params
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for i in params:
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if params[i] != current_params[i]:
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model = load_model()
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current_params = params.copy()
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break
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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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if string == '':
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string = 'empty reply, try regenerating'
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output_file = Path(f'extensions/silero_tts/outputs/{wav_idx:06d}.wav')
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audio = model.save_wav(text=string, speaker=params['speaker'], sample_rate=int(params['sample_rate']), audio_path=str(output_file))
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string = f'<audio src="file/{output_file.as_posix()}" controls></audio>'
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wav_idx += 1
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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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the prefix text for the Bot and can be used to bias its
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behavior.
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"""
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return string
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