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Runtime error
| import tempfile | |
| import gradio as gr | |
| # import numpy as np | |
| from TTS.utils.manage import ModelManager | |
| from TTS.utils.synthesizer import Synthesizer | |
| title = "Mandarin Text-to-Speech (TTS)" | |
| description = "Generate mandarin speech from text using a Tachotron2 model with Coqui TTS 🐸, " \ | |
| "a deep learning toolkit for Text-to-Speech." | |
| article = "<p style='text-align: center'><a href='https://news.machinelearning.sg/posts/mandarin_text_to_speech_with_coqui_tts/' target='blank' class='footer'>Blog</a> | <a href='https://github.com/eugenesiow/practical-ml' target='_blank' class='footer'>Github Repo</a></p>" | |
| examples = [ | |
| ["语音合成是通过机械的、电子的方法产生人造语音的技术。"], | |
| ["李显龙总理表示，我国要达到像意大利的开放程度，几乎回到冠病疫情前的生活，还需要一段时间。"] | |
| ] | |
| 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) | |
| # output = (synthesizer.output_sample_rate, np.array(wavs).astype(np.float32)) | |
| # return output | |
| with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as fp: | |
| synthesizer.save_wav(wavs, fp) | |
| return fp.name | |
| gr.Interface( | |
| fn=inference, | |
| inputs=[ | |
| gr.inputs.Textbox( | |
| label="Input", | |
| default="你好吗？我很好。", | |
| ), | |
| ], | |
| outputs=gr.outputs.Audio(label="Output"), | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| enable_queue=True, | |
| allow_flagging=False, | |
| ).launch(debug=False) | |