Update app.py
Browse files
app.py
CHANGED
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@@ -307,8 +307,7 @@ with gr.Blocks(css=custom_css) as demo:
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fn=run_classifier,
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inputs=[image, threshold_slider],
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outputs=[tag_string, label_box, original_image_state, sorted_tag_score_state],
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show_progress='minimal'
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show_progress_on=image
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)
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image.clear(
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@@ -321,32 +320,28 @@ with gr.Blocks(css=custom_css) as demo:
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fn=create_tags,
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inputs=[threshold_slider, sorted_tag_score_state],
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outputs=[tag_string, label_box],
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show_progress='hidden'
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show_progress_on=image
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)
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label_box.select(
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fn=cam_inference,
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inputs=[original_image_state, cam_slider, alpha_slider],
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outputs=[image, cam_state],
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show_progress='minimal'
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show_progress_on=image
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)
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cam_slider.input(
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fn=create_cam_visualization_pil,
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inputs=[original_image_state, cam_state, alpha_slider, cam_slider],
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outputs=[image],
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show_progress='hidden'
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show_progress_on=image
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)
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alpha_slider.input(
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fn=create_cam_visualization_pil,
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inputs=[original_image_state, cam_state, alpha_slider, cam_slider],
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outputs=[image],
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show_progress='hidden'
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show_progress_on=image
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)
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if __name__ == "__main__":
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fn=run_classifier,
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inputs=[image, threshold_slider],
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outputs=[tag_string, label_box, original_image_state, sorted_tag_score_state],
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+
show_progress='minimal'
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)
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image.clear(
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fn=create_tags,
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inputs=[threshold_slider, sorted_tag_score_state],
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outputs=[tag_string, label_box],
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show_progress='hidden'
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)
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label_box.select(
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fn=cam_inference,
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inputs=[original_image_state, cam_slider, alpha_slider],
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outputs=[image, cam_state],
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show_progress='minimal'
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)
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cam_slider.input(
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fn=create_cam_visualization_pil,
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inputs=[original_image_state, cam_state, alpha_slider, cam_slider],
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outputs=[image],
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show_progress='hidden'
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)
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alpha_slider.input(
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fn=create_cam_visualization_pil,
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inputs=[original_image_state, cam_state, alpha_slider, cam_slider],
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outputs=[image],
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show_progress='hidden'
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)
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if __name__ == "__main__":
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