Vaibhav Srivastav
commited on
Commit
•
533ef97
1
Parent(s):
3444a7f
up
Browse files
app.py
CHANGED
@@ -15,21 +15,24 @@ def predict(prompt, language, audio_file_pth):
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return gr.make_waveform(
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audio="output.wav",
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-
)
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title = "Coqui🐸 XTTS"
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description = """
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<p>For faster inference without waiting in the queue, you should duplicate this space and upgrade to GPU via the settings.
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<br/>
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<a href="https://huggingface.co/spaces/coqui/xtts?duplicate=true">
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<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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</p>
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XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 3-second audio clip.
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Built on Tortoise, XTTS has important model changes that make cross-language voice cloning and multi-lingual speech generation super easy.
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<br/>
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This is the same model that powers Coqui Studio, and Coqui API, however we apply a few tricks to make it faster and support streaming inference.
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"""
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article = """
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@@ -75,7 +78,8 @@ gr.Interface(
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),
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],
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outputs=[
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gr.Video(label="Synthesised
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],
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title=title,
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description=description,
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return gr.make_waveform(
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audio="output.wav",
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), gr.Audio(audio="output.wav")
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title = "Coqui🐸 XTTS"
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description = """
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+
XTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 3-second audio clip.
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+
<br/>
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+
Built on Tortoise, XTTS has important model changes that make cross-language voice cloning and multi-lingual speech generation super easy.
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+
<br/>
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+
This is the same model that powers Coqui Studio, and Coqui API, however we apply a few tricks to make it faster and support streaming inference.
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+
<br/>
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+
<br/>
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<p>For faster inference without waiting in the queue, you should duplicate this space and upgrade to GPU via the settings.
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<br/>
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<a href="https://huggingface.co/spaces/coqui/xtts?duplicate=true">
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<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
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</p>
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"""
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article = """
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),
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],
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outputs=[
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gr.Video(label="Synthesised Waveform"),
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gr.Audio(label="Synthesised Audio")
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],
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title=title,
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description=description,
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