Vaibhav Srivastav commited on
Commit
e7e0ccd
·
1 Parent(s): 4046745
Files changed (1) hide show
  1. app.py +4 -7
app.py CHANGED
@@ -41,8 +41,6 @@ description = """
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  Bark is a universal text-to-audio model created by [Suno](www.suno.ai), with code publicly available [here](https://github.com/suno-ai/bark). \
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  Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. \
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  In this demo, we leverage charactr.ai's Vocos model to create high quality audio from bark. \
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- The model output is not censored and the authors do not endorse the opinions in the generated content. \
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- Use at your own risk.
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  """
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  # import model
@@ -82,18 +80,17 @@ with gr.Blocks() as demo_blocks:
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  gr.Markdown(title)
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  gr.Markdown(description)
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  with gr.Column():
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- inp_text = gr.Textbox(label="What should Bark say?", info="Enter text here")
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  spk = gr.Dropdown(
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  speaker_embeddings,
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  value=None,
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- label="Available voice presets",
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- info="Default: No speaker embeddings"
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  )
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  btn = gr.Button("Synthesise speech!")
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  with gr.Column():
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- out_audio_vocos = gr.Audio(type="numpy", autoplay=False, label="Vocos enhanced speech", show_label=True)
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-
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  btn.click(generate_audio, [inp_text, spk], [out_audio_vocos])
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  demo_blocks.queue().launch(debug=True)
 
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  Bark is a universal text-to-audio model created by [Suno](www.suno.ai), with code publicly available [here](https://github.com/suno-ai/bark). \
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  Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. \
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  In this demo, we leverage charactr.ai's Vocos model to create high quality audio from bark. \
 
 
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  """
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  # import model
 
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  gr.Markdown(title)
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  gr.Markdown(description)
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  with gr.Column():
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+ inp_text = gr.Textbox(label="Input Text", info="What would you like bark to synthesise?")
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  spk = gr.Dropdown(
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  speaker_embeddings,
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  value=None,
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+ label="Acoustic Prompt",
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+ info="Default: Unconditional Generation"
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  )
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  btn = gr.Button("Synthesise speech!")
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  with gr.Column():
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+ out_audio_vocos = gr.Audio(type="numpy", autoplay=False, label="Generated Audio", show_label=True)
 
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  btn.click(generate_audio, [inp_text, spk], [out_audio_vocos])
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  demo_blocks.queue().launch(debug=True)