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Update app.py
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app.py
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import gradio as gr
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import os
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a = os.path.join(os.path.dirname(__file__), "files/
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b = os.path.join(os.path.dirname(__file__), "files/
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w1 = os.path.join(os.path.dirname(__file__), "files/
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w2 = os.path.join(os.path.dirname(__file__), "files/hf-logo.png")
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def generate_video(original_video, watermark):
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return gr.Video(original_video, watermark=watermark)
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# Use RGBA image mode to preserve transparency for png images.
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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import os
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a = os.path.join(os.path.dirname(__file__), "files/barkley_balloon.mp4")
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b = os.path.join(os.path.dirname(__file__), "files/convert-to-gradio-sd.mp4")
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w1 = os.path.join(os.path.dirname(__file__), "files/AI_generated.png")
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w2 = os.path.join(os.path.dirname(__file__), "files/hf-logo.png")
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w3 = os.path.join(os.path.dirname(__file__), "files/watermark_qr_code.png")
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def generate_video(original_video, watermark):
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return gr.Video(original_video, watermark=watermark)
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# Use RGBA image mode to preserve transparency for png images.
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with gr.Blocks() as demo:
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gr.Markdown("# Watermarking with Gradio: Example")
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gr.Markdown("Watermarks can be **visible** or **invisible**.")
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gr.Markdown("""They can provide information directly, or provide a link for more information.
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Visible watermarks can help to disclose when content is AI-generated, so viewers know it's synthetic.
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Invisible watermarks can help to mark content as authentic.""")
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gr.Markdown()
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gr.Markdown("""For more information on watermarking --
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what watermarking is, why it's important, and the tools available on Hugging Face --
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please check out [our blogpost on AI watermarking](https://huggingface.co/blog/watermarking).""")
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gr.Interface(generate_video, [gr.Video(), gr.Image(type='filepath', image_mode="RGBA")], gr.Video(),
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examples=[[a, w1], [b, w2], [a, w3]])
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if __name__ == "__main__":
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demo.launch()
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