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Update app.py

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  1. app.py +1 -2
app.py CHANGED
@@ -24,9 +24,8 @@ State of the art text-to-speech model [[model]](https://huggingface.co/collectio
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  ## Unleashed
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  Use this space to generate long-form speech up to around ~2 minutes in length. To generate an unlimited length, clone this space and run it locally.
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  ### Tips
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- - If you are generating more than one chunk of audio, you should supply speaker conditioning. Otherwise, each chunk will have a slightly different voice.
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  - When providing prefix audio, include the text of the prefix audio in your speech text to ensure a smooth transition.
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- - The cleaner the speaker audio, the better the speaker conditioning will be - however, speaker audio is only sampled at 16kHz, so you do not need to provide high-bitrate speaker audio. Unlike this, however, prefix audio should be high-quality, as it is sampled at the full 44.1kHz.
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  - The appropriate range of Speaking Rate and Pitch STD are highly dependent on the speaker audio. Start with the defaults and adjust as needed.
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  - Emotion sliders do not completely function intuitively, and require some experimentation to get the desired effect.
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  """.strip()
 
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  ## Unleashed
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  Use this space to generate long-form speech up to around ~2 minutes in length. To generate an unlimited length, clone this space and run it locally.
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  ### Tips
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+
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  - When providing prefix audio, include the text of the prefix audio in your speech text to ensure a smooth transition.
 
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  - The appropriate range of Speaking Rate and Pitch STD are highly dependent on the speaker audio. Start with the defaults and adjust as needed.
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  - Emotion sliders do not completely function intuitively, and require some experimentation to get the desired effect.
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  """.strip()