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import os
import sys
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append('{}/third_party/AcademiCodec'.format(ROOT_DIR))
sys.path.append('{}/third_party/Matcha-TTS'.format(ROOT_DIR))
from modelscope import snapshot_download
snapshot_download('speech_tts/speech_kantts_ttsfrd',revision="master", allow_file_pattern='ttsfrd-0.3.9-cp310-cp310-linux_x86_64.whl', local_dir='pretrained_models/speech_kantts_ttsfrd')
snapshot_download('speech_tts/speech_kantts_ttsfrd',revision="master", allow_file_pattern='ttsfrd_dependency-0.1-py3-none-any.whl', local_dir='pretrained_models/speech_kantts_ttsfrd')
os.system('cd pretrained_models/speech_kantts_ttsfrd/ && pip install ttsfrd_dependency-0.1-py3-none-any.whl')
os.system('cd pretrained_models/speech_kantts_ttsfrd/ && pip install ttsfrd-0.3.9-cp310-cp310-linux_x86_64.whl')
os.system('sed -i s@pydantic.typing@typing_extensions@g /usr/local/lib/python3.10/site-packages/inflect/__init__.py')
import gradio as gr
from css.advanced import advanced
from css.custom import custom
from css.preset import preset
audio_mode_choices = [('预置语音生成', 'preset'), ('定制语音生成（复刻录制声音）', 'custom'),
('高级语音生成（自然语言控制）', 'advanced')]
def on_audio_mode_change(_audio_mode_radio):
yield {
preset_layout: gr.update(visible=_audio_mode_radio == 'preset'),
custom_layout: gr.update(visible=_audio_mode_radio == 'custom'),
advanced_layout: gr.update(visible=_audio_mode_radio == 'advanced')
}
custom_css = """
.full-height {
height: 100%;
}
"""
default_layout = 'preset'
with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
audio_mode_radio = gr.Radio(choices=audio_mode_choices,
value=default_layout,
label="选择语音生成模式")
with gr.Row():
with gr.Column(visible=default_layout == 'preset') as preset_layout:
preset()
with gr.Column(visible=default_layout == 'custom') as custom_layout:
custom()
with gr.Column(
visible=default_layout == 'advanced') as advanced_layout:
advanced()
audio_mode_radio.change(
fn=on_audio_mode_change,
inputs=[audio_mode_radio],
outputs=[preset_layout, custom_layout, advanced_layout])
demo.queue().launch(server_port=50000)
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