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Update app.py

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app.py CHANGED
@@ -139,7 +139,7 @@ with gr.Blocks(css=css) as block:
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  high-fidelity text-to-speech (TTS) models.</p>
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  <p>The model demonstrated here, French Parler-TTS <a href="https://huggingface.co/PHBJT/french_parler_tts_mini_v0.1">Mini v0.1 French</a>,
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  has been fine-tuned on a French dataset. It generates high-quality speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation).
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- Due to limitations on the dataset, this model might underperform for female voices (we recomand using male voices only).</p>
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  <p>By default, Parler-TTS generates 🎲 random male voice characteristics. To ensure 🎯 <b>speaker consistency</b> across generations, try to use consistent descriptions in your prompts.</p>
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  <p><b>Note:</b> do NOT specify the nationnality of the speaker it will cause inconsistent audio generation (do: "a male speaker", don't: "a french male speaker") </p>
 
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  high-fidelity text-to-speech (TTS) models.</p>
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  <p>The model demonstrated here, French Parler-TTS <a href="https://huggingface.co/PHBJT/french_parler_tts_mini_v0.1">Mini v0.1 French</a>,
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  has been fine-tuned on a French dataset. It generates high-quality speech with features that can be controlled using a simple text prompt (e.g. gender, background noise, speaking rate, pitch and reverberation).
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+ Due to limitations on the dataset, this model might underperform for female voices (we recommend using male voices only).</p>
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  <p>By default, Parler-TTS generates 🎲 random male voice characteristics. To ensure 🎯 <b>speaker consistency</b> across generations, try to use consistent descriptions in your prompts.</p>
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  <p><b>Note:</b> do NOT specify the nationnality of the speaker it will cause inconsistent audio generation (do: "a male speaker", don't: "a french male speaker") </p>