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feat: support CosyVoice3 in webui.py #1888

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feat: support CosyVoice3 in webui.py #1888

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31f76ba
feat: support CosyVoice3 in webui.py
jasagiri May 17, 2026
d9fbc30
fix: use soundfile for webui prompt-wav sample-rate check
jasagiri May 17, 2026
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15 changes: 10 additions & 5 deletions webui.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,9 +20,10 @@
import torchaudio
import random
import librosa
import soundfile as sf
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append('{}/third_party/Matcha-TTS'.format(ROOT_DIR))
from cosyvoice.cli.cosyvoice import AutoModel
from cosyvoice.cli.cosyvoice import AutoModel, CosyVoice3
from cosyvoice.utils.file_utils import logging
from cosyvoice.utils.common import set_all_random_seed

Expand All @@ -33,6 +34,8 @@
'自然语言控制': '1. 选择预训练音色\n2. 输入instruct文本\n3. 点击生成音频按钮'}
stream_mode_list = [('否', False), ('是', True)]
max_val = 0.8
# CosyVoice3's LLM requires an <|endofprompt|> token in prompt_text / tts_text; earlier generations do not.
cosyvoice3_system_prompt = 'You are a helpful assistant.<|endofprompt|>'


def generate_seed():
Expand Down Expand Up @@ -75,8 +78,8 @@ def generate_audio(tts_text, mode_checkbox_group, sft_dropdown, prompt_text, pro
if prompt_wav is None:
gr.Warning('prompt音频为空，您是否忘记输入prompt音频？')
yield (cosyvoice.sample_rate, default_data)
if torchaudio.info(prompt_wav).sample_rate < prompt_sr:
gr.Warning('prompt音频采样率{}低于{}'.format(torchaudio.info(prompt_wav).sample_rate, prompt_sr))
if sf.info(prompt_wav).samplerate < prompt_sr:
gr.Warning('prompt音频采样率{}低于{}'.format(sf.info(prompt_wav).samplerate, prompt_sr))
yield (cosyvoice.sample_rate, default_data)
# sft mode only use sft_dropdown
if mode_checkbox_group in ['预训练音色']:
Expand All @@ -101,12 +104,14 @@ def generate_audio(tts_text, mode_checkbox_group, sft_dropdown, prompt_text, pro
elif mode_checkbox_group == '3s极速复刻':
logging.info('get zero_shot inference request')
set_all_random_seed(seed)
for i in cosyvoice.inference_zero_shot(tts_text, prompt_text, prompt_wav, stream=stream, speed=speed):
zero_shot_prompt_text = cosyvoice3_system_prompt + prompt_text if isinstance(cosyvoice, CosyVoice3) else prompt_text
for i in cosyvoice.inference_zero_shot(tts_text, zero_shot_prompt_text, prompt_wav, stream=stream, speed=speed):
yield (cosyvoice.sample_rate, i['tts_speech'].numpy().flatten())
elif mode_checkbox_group == '跨语种复刻':
logging.info('get cross_lingual inference request')
set_all_random_seed(seed)
for i in cosyvoice.inference_cross_lingual(tts_text, prompt_wav, stream=stream, speed=speed):
cross_lingual_tts_text = cosyvoice3_system_prompt + tts_text if isinstance(cosyvoice, CosyVoice3) else tts_text
for i in cosyvoice.inference_cross_lingual(cross_lingual_tts_text, prompt_wav, stream=stream, speed=speed):
yield (cosyvoice.sample_rate, i['tts_speech'].numpy().flatten())
else:
logging.info('get instruct inference request')
Expand Down