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Move disclaimers below (#3)
Browse files- Move disclaimers below (6ca9df83acbb91484d7b723f80bc1f37ce85c37d)
Co-authored-by: Apolinário from multimodal AI art <multimodalart@users.noreply.huggingface.co>
app.py
CHANGED
@@ -134,18 +134,19 @@ iface = gr.Interface(
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outputs=gr.Video(),
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live=False,
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title="AI Video Dubbing",
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description="""This tool was developed by [@artificialguybr](https://twitter.com/artificialguybr) using entirely open-source tools. Special thanks to Hugging Face for the GPU support. Thanks [@yeswondwer](https://twitter.com/@yeswondwerr) for original code.
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**Note:**
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- Video limit is 1 minute. It will dubbling all people using just one voice.
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- Generation may take up to 5 minutes.
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- The tool uses open-source models for all models. It's a alpha version.
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- Quality can be improved but would require more processing time per video. For scalability and hardware limitations, speed was chosen, not just quality.
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- If you need more than 1 minute, duplicate the Space and change the limit on app.py.""",
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allow_flagging=False
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)
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with gr.Blocks() as demo:
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iface.render()
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radio.change(swap, inputs=[radio], outputs=video)
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demo.queue(concurrency_count=2, max_size=15)
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demo.launch()
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outputs=gr.Video(),
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live=False,
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title="AI Video Dubbing",
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description="""This tool was developed by [@artificialguybr](https://twitter.com/artificialguybr) using entirely open-source tools. Special thanks to Hugging Face for the GPU support. Thanks [@yeswondwer](https://twitter.com/@yeswondwerr) for original code.""",
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allow_flagging=False
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)
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with gr.Blocks() as demo:
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iface.render()
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radio.change(swap, inputs=[radio], outputs=video)
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gr.Markdown("""
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**Note:**
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- Video limit is 1 minute. It will dubbling all people using just one voice.
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- Generation may take up to 5 minutes.
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- The tool uses open-source models for all models. It's a alpha version.
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- Quality can be improved but would require more processing time per video. For scalability and hardware limitations, speed was chosen, not just quality.
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- If you need more than 1 minute, duplicate the Space and change the limit on app.py.
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""")
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demo.queue(concurrency_count=2, max_size=15)
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demo.launch()
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