| import gradio as gr | |
| import os, torch, io | |
| os.system('python -m unidic download') | |
| from melo.api import TTS | |
| speed = 1.0 | |
| import tempfile | |
| device = 'cuda' if torch.cuda.is_available() else 'cpu' | |
| models = { | |
| 'EN': TTS(language='EN', device=device), | |
| 'ES': TTS(language='ES', device=device), | |
| 'FR': TTS(language='FR', device=device), | |
| 'ZH': TTS(language='ZH', device=device), | |
| 'JP': TTS(language='JP', device=device), | |
| 'KR': TTS(language='KR', device=device), | |
| } | |
| speaker_ids = models['EN'].hps.data.spk2id | |
| def synthesize(speaker, text, speed, language, progress=gr.Progress()): | |
| bio = io.BytesIO() | |
| models[language].tts_to_file(text, speaker_ids[speaker], bio, speed=speed, pbar=progress.tqdm, format='wav') | |
| return bio.getvalue() | |
| def load_speakers(language): | |
| return gr.update(choices=list(models[language].hps.data.spk2id.keys()), value=models[language].hps.data.spk2id[list(models[language].hps.data.spk2id.keys())[0]]) | |
| with gr.Blocks() as demo: | |
| gr.Markdown('# MeloTTS\n\nAn unofficial demo of [MeloTTS](https://github.com/myshell-ai/MeloTTS) from MyShell AI. MeloTTS is a permissively licensed (MIT) SOTA multi-speaker TTS model.\n\nI am not affiliated with MyShell AI in any way.\n\nThis demo currently only supports English, but the model itself supports other languages.') | |
| with gr.Group(): | |
| speaker = gr.Dropdown(speaker_ids.keys(), interactive=True, value='EN-Default', label='Speaker') | |
| language = gr.Radio(['EN', 'ES', 'FR', 'ZH', 'JP', 'KR'], label='Language', value='EN') | |
| language.input(load_speakers, inputs=language, outputs=speaker) | |
| speed = gr.Slider(label='Speed', minimum=0.1, maximum=10.0, value=1.0, interactive=True, step=0.1) | |
| text = gr.Textbox(label="Text to speak", value='The field of text to speech has seen rapid development recently') | |
| btn = gr.Button('Synthesize', variant='primary') | |
| aud = gr.Audio(interactive=False) | |
| btn.click(synthesize, inputs=[speaker, text, speed, language], outputs=[aud]) | |
| demo.queue(api_open=False, default_concurrency_limit=10).launch(show_api=False) | |