ylacombe commited on
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e0a2993
1 Parent(s): 8b0fa06

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -34,7 +34,7 @@ examples = [
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  ],
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  [
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  "Montrose also, after having experienced still more variety of good and bad fortune, threw down his arms, and retired out of the kingdom.",
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- "A male speaker with a low-pitched voice delivering his words at a fast pace in a small, confined space with a lot of background noise and an animated tone.",
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  ],
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  ]
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@@ -108,7 +108,7 @@ with gr.Blocks(css=css) as block:
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  gr.HTML(
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  f"""
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  <p><a href="https://github.com/huggingface/parler-tts"> Parler-TTS</a> is a training and inference library for
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- high-fidelity text-to-speech (TTS) models. The model demonstrated here, <a href="parler-tts/parler_tts_300M_v0.1"> Parler-TTS Mini v0.1</a>,
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  is the first iteration model trained using 10k hours of narrated audiobooks. It generates high-quality speech
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  with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation).</p>
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  ],
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  [
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  "Montrose also, after having experienced still more variety of good and bad fortune, threw down his arms, and retired out of the kingdom.",
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+ "A male speaker with a low-pitched voice delivering his words at a fast pace in a very roomy and noisy environment and an animated tone.",
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  ],
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  ]
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  gr.HTML(
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  f"""
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  <p><a href="https://github.com/huggingface/parler-tts"> Parler-TTS</a> is a training and inference library for
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+ high-fidelity text-to-speech (TTS) models. The model demonstrated here, <a href="https://huggingface.co/parler-tts/parler_tts_300M_v0.1"> Parler-TTS Mini v0.1</a>,
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  is the first iteration model trained using 10k hours of narrated audiobooks. It generates high-quality speech
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  with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation).</p>
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