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Update app.py
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app.py
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@@ -57,13 +57,14 @@ def show_results(outputs):
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return gr.Group(visible=True)
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with gr.Blocks() as iface:
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gr.Markdown("""
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# Multimodal Behavioral Anomalies Detection
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This tool detects anomalies in facial expressions, body language, and voice over the timeline of a video.
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It extracts faces, postures, and voice from video frames, and analyzes them to identify anomalies using time series analysis and a variational autoencoder (VAE) approach.
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""")
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-
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with gr.Row():
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video_input = gr.Video()
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@@ -103,7 +104,9 @@ with gr.Blocks() as iface:
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with gr.Group(visible=True) as results_group2:
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with gr.TabItem("Description"):
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gr.Image(value="appendix/Anomay Detection.png", label="Diagram")
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gr.Markdown("""
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# Multimodal Behavioral Anomalies Detection
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The purpose of this tool is to detect anomalies in facial expressions, body language, and voice over the timeline of a video.
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return gr.Group(visible=True)
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with gr.Blocks() as iface:
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gr.Image(value="appendix/icon.png", label="icon, width=100")
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gr.Markdown("""
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# Multimodal Behavioral Anomalies Detection
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This tool detects anomalies in facial expressions, body language, and voice over the timeline of a video.
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It extracts faces, postures, and voice from video frames, and analyzes them to identify anomalies using time series analysis and a variational autoencoder (VAE) approach.
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""")
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+
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with gr.Row():
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video_input = gr.Video()
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with gr.Group(visible=True) as results_group2:
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with gr.TabItem("Description"):
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gr.Image(value="appendix/Anomay Detection.png", label="Diagram")
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gr.Markdown("""
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+
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# Multimodal Behavioral Anomalies Detection
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The purpose of this tool is to detect anomalies in facial expressions, body language, and voice over the timeline of a video.
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