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Runtime error
cocktailpeanut
commited on
Commit
•
19dca80
1
Parent(s):
5983359
update
Browse files
app.py
CHANGED
@@ -1,6 +1,6 @@
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import gradio as gr
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import os, torch, io
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os.system('python -m unidic download')
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from melo.api import TTS
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speed = 1.0
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import tempfile
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@@ -11,19 +11,31 @@ elif torch.backends.mps.is_available():
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else:
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device = "cpu"
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#device = 'cuda' if torch.cuda.is_available() else 'cpu'
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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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import gradio as gr
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import os, torch, io
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#os.system('python -m unidic download')
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from melo.api import TTS
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speed = 1.0
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import tempfile
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else:
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device = "cpu"
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#device = 'cuda' if torch.cuda.is_available() else 'cpu'
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languages = ["EN", "ES", "FR", "ZH", "JP", "KR"]
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#model = TTS(language='EN', device=device)
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def synthesize(language, speaker, text, speed=1.0, progress=gr.Progress()):
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model = TTS(language=language, device=device)
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speaker_ids = model.hps.data.spk2id
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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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def lang(language):
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if language == "EN":
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return gr.update(choices=["EN-Default", "EN-US", "EN-BR", "EN_INDIA", "EN-AU"]
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else:
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return gr.update(choices=[language])
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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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language = gr.Dropdown(languages, interactive=True, value='EN', label='Language')
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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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language.change(fn=lang, inputs=[language], outputs=[speaker])
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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=[language, 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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