Spaces:
Running
on
Zero
Running
on
Zero
Commit
·
889515b
1
Parent(s):
d1da17a
Update app.py
Browse files
app.py
CHANGED
@@ -49,7 +49,7 @@ 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 high quality and faithful audio using TangoFlux by providing a text prompt in just a few seconds. TangoFlux was trained from scratch and
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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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@@ -71,9 +71,12 @@ gr_interface = gr.Interface(
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description=description_text,
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allow_flagging=False,
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examples=[
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["Quiet whispered conversation gradually fading into distant jet engine roar diminishing into silence"],
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["Clear sound of bicycle tires crunching on loose gravel and dirt, followed by deep male laughter echoing"],
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["Multiple ducks quacking loudly with splashing water and piercing wild animal shriek in background"],
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["Powerful ocean waves crashing and receding on sandy beach with distant seagulls"],
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["Gentle female voice cooing and baby responding with happy gurgles and giggles"],
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["Clear male voice speaking, sharp popping sound, followed by genuine group laughter"],
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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 <b>TangoFlux</b> by providing a text prompt in just a few seconds. <b>TangoFlux</b> was trained from scratch and underwent alignment to follow human instructions using a new method called <b>Claped-Ranked Preference Optimization (CRPO)</b>.
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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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description=description_text,
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allow_flagging=False,
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examples=[
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["Simulate a forest ambiance with birds chirping and wind rustling through the leaves"],
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["Quiet whispered conversation gradually fading into distant jet engine roar diminishing into silence"],
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["Clear sound of bicycle tires crunching on loose gravel and dirt, followed by deep male laughter echoing"],
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["Multiple ducks quacking loudly with splashing water and piercing wild animal shriek in background"],
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["Create a serene soundscape of a quiet beach at sunset"],
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["Generate an energetic and bustling city street scene with distant traffic and close conversations"],
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["Powerful ocean waves crashing and receding on sandy beach with distant seagulls"],
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["Gentle female voice cooing and baby responding with happy gurgles and giggles"],
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["Clear male voice speaking, sharp popping sound, followed by genuine group laughter"],
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