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import os
import gradio as gr
os.system("pip install kantts -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html")
os.system("pip install numpy==1.22.0")
from modelscope.models.audio.tts import SambertHifigan
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks
import IPython.display as ipd
model_dir = os.path.abspath("./pretrain_work_dir")
custom_infer_abs = {
'voice_name':
'F7',
'am_ckpt':
os.path.join(model_dir, 'tmp_am', 'ckpt'),
'am_config':
os.path.join(model_dir, 'tmp_am', 'config.yaml'),
'voc_ckpt':
os.path.join(model_dir, 'orig_model', 'basemodel_16k', 'hifigan', 'ckpt'),
'voc_config':
os.path.join(model_dir, 'orig_model', 'basemodel_16k', 'hifigan',
'config.yaml'),
'audio_config':
os.path.join(model_dir, 'data', 'audio_config.yaml'),
'se_file':
os.path.join(model_dir, 'data', 'se', 'se.npy')
}
kwargs = {'custom_ckpt': custom_infer_abs}
model_id = SambertHifigan(os.path.join(model_dir, "orig_model"), **kwargs)
inference = pipeline(task=Tasks.text_to_speech, model=model_id)
def infer(text):
output = inference(input=text)
with open("myfile.wav", mode='bx') as f:
f.write(output["output_wav"])
return "myfile.wav"
app = gr.Blocks()
with app:
gr.HTML("<center>"
"<h1>🥳🎶🎡 - KanTTS中文声音克隆</h1>"
"</center>")
gr.Markdown("### <center>🌊 - 更多精彩应用,敬请关注[滔滔AI](http://www.talktalkai.com);滔滔AI,为爱滔滔!💕</center>")
with gr.Row():
with gr.Column():
inp = gr.Textbox(lines=5, label="请填写您想要转换的中文文本")
btn = gr.Button("一键生成")
out = gr.Audio(label="为您生成的专属音频", type="filepath")
btn.click(fn=infer, inputs=[inp], outputs=[out])
app.launch(show_error=True) |