mrfakename commited on
Commit
1241f18
1 Parent(s): f961a56

Multilingual Support

Browse files
Files changed (1) hide show
  1. app.py +16 -5
app.py CHANGED
@@ -5,19 +5,30 @@ from melo.api import TTS
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  speed = 1.0
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  import tempfile
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  device = 'cuda' if torch.cuda.is_available() else 'cpu'
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- model = TTS(language='EN', device=device)
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- speaker_ids = model.hps.data.spk2id
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- def synthesize(speaker, text, speed=1.0, progress=gr.Progress()):
 
 
 
 
 
 
 
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  bio = io.BytesIO()
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- model.tts_to_file(text, speaker_ids[speaker], bio, speed=speed, pbar=progress.tqdm, format='wav')
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  return bio.getvalue()
 
 
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  with gr.Blocks() as demo:
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  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.')
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  with gr.Group():
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  speaker = gr.Dropdown(speaker_ids.keys(), interactive=True, value='EN-Default', label='Speaker')
 
 
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  speed = gr.Slider(label='Speed', minimum=0.1, maximum=10.0, value=1.0, interactive=True, step=0.1)
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  text = gr.Textbox(label="Text to speak", value='The field of text to speech has seen rapid development recently')
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  btn = gr.Button('Synthesize', variant='primary')
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  aud = gr.Audio(interactive=False)
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- btn.click(synthesize, inputs=[speaker, text, speed], outputs=[aud])
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  demo.queue(api_open=False, default_concurrency_limit=10).launch(show_api=False)
 
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  speed = 1.0
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  import tempfile
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  device = 'cuda' if torch.cuda.is_available() else 'cpu'
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+ models = {
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+ 'EN': TTS(language='EN', device=device),
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+ 'ES': TTS(language='ES', device=device),
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+ 'FR': TTS(language='FR', device=device),
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+ 'ZH': TTS(language='ZH', device=device),
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+ 'JP': TTS(language='JP', device=device),
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+ 'KR': TTS(language='KR', device=device),
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+ }
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+ speaker_ids = models['EN'].hps.data.spk2id
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+ def synthesize(speaker, text, speed=1.0, language, progress=gr.Progress()):
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  bio = io.BytesIO()
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+ models[language].tts_to_file(text, speaker_ids[speaker], bio, speed=speed, pbar=progress.tqdm, format='wav')
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  return bio.getvalue()
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+ def load_language(language):
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+ return models[language].hps.data.spk2id
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  with gr.Blocks() as demo:
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  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.')
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  with gr.Group():
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  speaker = gr.Dropdown(speaker_ids.keys(), interactive=True, value='EN-Default', label='Speaker')
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+ language = gr.Radio(['EN', 'ES', 'FR', 'ZH', 'JP', 'KR'], label='Language', value='EN')
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+ language.input(load_speakers, inputs=language, outputs=speaker)
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  speed = gr.Slider(label='Speed', minimum=0.1, maximum=10.0, value=1.0, interactive=True, step=0.1)
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  text = gr.Textbox(label="Text to speak", value='The field of text to speech has seen rapid development recently')
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  btn = gr.Button('Synthesize', variant='primary')
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  aud = gr.Audio(interactive=False)
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+ btn.click(synthesize, inputs=[speaker, text, speed, language], outputs=[aud])
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  demo.queue(api_open=False, default_concurrency_limit=10).launch(show_api=False)