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https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-04 17:39:25 +08:00
add instruct usage
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@@ -98,6 +98,7 @@ class CosyVoice:
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start_time = time.time()
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def inference_instruct(self, tts_text, spk_id, instruct_text, stream=False, speed=1.0):
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assert isinstance(self.model, CosyVoiceModel)
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if self.frontend.instruct is False:
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raise ValueError('{} do not support instruct inference'.format(self.model_dir))
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instruct_text = self.frontend.text_normalize(instruct_text, split=False)
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@@ -111,6 +112,18 @@ class CosyVoice:
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yield model_output
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start_time = time.time()
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def inference_instruct2(self, tts_text, instruct_text, prompt_speech_16k, stream=False, speed=1.0):
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assert isinstance(self.model, CosyVoice2Model)
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for i in tqdm(self.frontend.text_normalize(tts_text, split=True)):
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model_input = self.frontend.frontend_instruct2(i, instruct_text, prompt_speech_16k, self.sample_rate)
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start_time = time.time()
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logging.info('synthesis text {}'.format(i))
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for model_output in self.model.tts(**model_input, stream=stream, speed=speed):
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speech_len = model_output['tts_speech'].shape[1] / self.sample_rate
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logging.info('yield speech len {}, rtf {}'.format(speech_len, (time.time() - start_time) / speech_len))
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yield model_output
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start_time = time.time()
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def inference_vc(self, source_speech_16k, prompt_speech_16k, stream=False, speed=1.0):
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model_input = self.frontend.frontend_vc(source_speech_16k, prompt_speech_16k, self.sample_rate)
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start_time = time.time()
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