mirror of
https://github.com/FunAudioLLM/CosyVoice.git
synced 2026-02-04 09:29:25 +08:00
fix lint
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@@ -401,7 +401,8 @@ class Qwen2LM(TransformerLM):
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speech_token_combined_emb = self.speech_embedding(speech_token_combined)
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# 3. prepare llm_input/target
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lm_target, lm_input, lm_input_len = self.prepare_lm_input_target(text_token.repeat(2, 1), text_token_emb.repeat(2, 1, 1), text_token_len.repeat(2), speech_token_combined, speech_token_combined_emb, speech_token_combined_len)
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lm_target, lm_input, lm_input_len = self.prepare_lm_input_target(text_token.repeat(2, 1), text_token_emb.repeat(2, 1, 1), text_token_len.repeat(2), \
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speech_token_combined, speech_token_combined_emb, speech_token_combined_len)
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lm_target = lm_target.to(device)
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# 4. run lm forward
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@@ -2,7 +2,8 @@ import argparse
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import logging
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import os
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from tqdm import tqdm
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import torch, torchaudio
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import torch
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import torchaudio
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from cosyvoice.cli.cosyvoice import CosyVoice2
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from cosyvoice.utils.file_utils import load_wav
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@@ -30,7 +31,7 @@ def main():
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if prompt_speech_16k.shape[1] >= 30 * 16000:
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continue
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speech_list = []
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for i, j in enumerate(cosyvoice.inference_zero_shot(utt2text[utt], utt2text[utt], prompt_speech_16k, stream=False, text_frontend=False)):
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for _, j in enumerate(cosyvoice.inference_zero_shot(utt2text[utt], utt2text[utt], prompt_speech_16k, stream=False, text_frontend=False)):
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speech_list.append(j['tts_speech'])
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negative_wav = os.path.abspath('{}/wav/{}'.format(args.des_dir, os.path.basename(wav)))
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torchaudio.save(negative_wav, torch.concat(speech_list, dim=1), cosyvoice.sample_rate, backend='soundfile')
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@@ -9,13 +9,15 @@ from cosyvoice.utils.file_utils import load_wav
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from cosyvoice.utils.common import set_all_random_seed
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from tqdm import tqdm
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def main():
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cosyvoice = CosyVoice2('pretrained_models/CosyVoice2-0.5B', load_jit=True, load_trt=True, load_vllm=True, fp16=True)
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prompt_speech_16k = load_wav('./asset/zero_shot_prompt.wav', 16000)
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for i in tqdm(range(100)):
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set_all_random_seed(i)
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for i, j in enumerate(cosyvoice.inference_zero_shot('收到好友从远方寄来的生日礼物,那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐,笑容如花儿般绽放。', '希望你以后能够做的比我还好呦。', prompt_speech_16k, stream=False)):
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for _, _ in enumerate(cosyvoice.inference_zero_shot('收到好友从远方寄来的生日礼物,那份意外的惊喜与深深的祝福让我心中充满了甜蜜的快乐,笑容如花儿般绽放。', '希望你以后能够做的比我还好呦。', prompt_speech_16k, stream=False)):
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continue
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if __name__=='__main__':
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if __name__ == '__main__':
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main()
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