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Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -15,7 +15,7 @@ gr.close_all()
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  title = "Open-source and open-access Frisian TTS<br>(from Phat Do's PhD research)"
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  description = """
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  <center>
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- <img src='/file=assets/Friesland.png' width=300px><br>
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  These are the prototype Frisian synthetic speech models intended to showcase the findings of my PhD research, which are described in Section 7.6 of the dissertation.<br>
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  The single-speaker model was trained on only <strong>20 minutes</strong> of data (recordings) using transfer learning from Dutch data. The multi-speaker model was trained from scratch on <strong>32 hours</strong> of Frisian data (from <a href='https://commonvoice.mozilla.org/fy-NL' target='_blank'>Mozilla Common Voice</a>).<br><br>
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  Please select the model's tab above, enter any Frisian text (or choose from the examples for convenience), select a speaker ID below (for the multi-speaker model), and click on Submit to synthesize the speech.<br>
 
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  title = "Open-source and open-access Frisian TTS<br>(from Phat Do's PhD research)"
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  description = """
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  <center>
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+ <img src='/gradio_api/file=assets/Friesland.png' width=300px><br>
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  These are the prototype Frisian synthetic speech models intended to showcase the findings of my PhD research, which are described in Section 7.6 of the dissertation.<br>
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  The single-speaker model was trained on only <strong>20 minutes</strong> of data (recordings) using transfer learning from Dutch data. The multi-speaker model was trained from scratch on <strong>32 hours</strong> of Frisian data (from <a href='https://commonvoice.mozilla.org/fy-NL' target='_blank'>Mozilla Common Voice</a>).<br><br>
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  Please select the model's tab above, enter any Frisian text (or choose from the examples for convenience), select a speaker ID below (for the multi-speaker model), and click on Submit to synthesize the speech.<br>