| 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=True), 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() | |