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Update app.py
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app.py
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def video_identity(video):
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return video
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instructions = """
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<b>Instructions:</b><br>
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Step 1: Upload the example video to get the relevant timeframes that require haptics, the text query should be 'explosion' <a href="https://portal.vision.cognitive.azure.com/demo/video-summary-and-frame-locator">Azure Cognitive Services Video Summary and Frame Locator</a> with explosions as the query.<br>
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Step 2: Download the generated audio from <a href="https://phonebrrdemonstration2.blob.core.windows.net/audio3second0001/3_second_explosion_00001.flac">this ai-generated haptic audio</a>.
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Step 3: Mix the Audio using any app of your choice and master the audio with <a href="https://aimastering.com/">ai-mastering program</a>
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"""
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demo = gr.Interface(video_identity,
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gr.Video(),
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"playable_video",
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cache_examples=True)
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if __name__ == "__main__":
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import gradio as gr
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import os
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def video_identity(video):
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return video
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demo = gr.Interface(video_identity,
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gr.Video(),
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"playable_video",
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examples=[
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os.path.join(os.path.dirname(__file__),
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"video/test_video.mp4")],
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cache_examples=True)
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if __name__ == "__main__":
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