app.py

import gradio as gr
import hashlib
import tempfile
from TTS.utils.manage import ModelManager
from TTS.utils.synthesizer import Synthesizer
def fx(x:str):
    hash=hashlib.md5()
    hash.update(x.encode(encoding='utf-8'))
    return hash.hexdigest()
    
manager = ModelManager()
model_path, config_path, model_item = manager.download_model("tts_models/zh-CN/baker/tacotron2-DDC-GST")
synthesizer = Synthesizer(
    model_path, config_path, None, None, None,
)


def inference(text: str):
    wavs = synthesizer.tts(text)
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp:
        synthesizer.save_wav(wavs, fp)
        return fp.name
        
demo=gr.Blocks()
with demo:
    with gr.Column():
        text_input=gr.Textbox(placeholder='请输入测试字符串',label="请输入需要MD5加密的测试内容")
        text_output=gr.Textbox(label="输出",visible=False)
        text_input.submit(fn=lambda visible: gr.update(visible=visible), inputs=text_input, outputs=text_output)
        bb_button=gr.Button("运行")
        bb_button.click(fx, inputs=text_input, outputs=text_output,api_name='md5')
    with gr.Column():
        gr.Markdown("# TTS文本字符串转语音合成训练")
        TTS_input=gr.Textbox(label="输入文本",default="你好吗？我很好。") 
        TTS_button=gr.Button("合成")
        TTS_button.click(inference, inputs=TTS_input, outputs=gr.Audio(label="输出合成结果"),api_name='tts')
demo.launch()