soujanyaporia commited on
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70480c0
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1 Parent(s): 6b1bae5

Update app.py

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  1. app.py +2 -2
app.py CHANGED
@@ -49,8 +49,8 @@ def gradio_generate(prompt, steps, guidance,duration=10):
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  description_text = """
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  <p><a href="https://huggingface.co/spaces/declare-lab/tango2/blob/main/app.py?duplicate=true"> <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> For faster inference without waiting in queue, you may duplicate the space and upgrade to a GPU in the settings. <br/><br/>
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- Generate audio using Tango2 by providing a text prompt. Tango2 was built from Tango and was trained on <a href="https://huggingface.co/datasets/declare-lab/audio-alpaca">Audio-alpaca</a>
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- <br/><br/> This is the demo for Tango2 for text to audio generation: <a href="https://arxiv.org/abs/2404.09956">Read our paper.</a>
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  <p/>
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  """
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  # Gradio input and output components
 
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  description_text = """
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  <p><a href="https://huggingface.co/spaces/declare-lab/tango2/blob/main/app.py?duplicate=true"> <img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> For faster inference without waiting in queue, you may duplicate the space and upgrade to a GPU in the settings. <br/><br/>
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+ Generate high quality and faithful audio using TangoFlux by providing a text prompt in just a few seconds. TangoFlux was trained from scratch and was undergone alignment using a new method called Claped-Ranked Preference Optimization (CRPO).
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+ <br/><br/> <a href="https://arxiv.org/abs/2412.xxxx">Read our paper.</a>
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  <p/>
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  """
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  # Gradio input and output components