Spaces:
Running
Running
Organise layout and interactions
Browse files
app.py
CHANGED
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@@ -65,34 +65,45 @@ def image_inference(image: gr.Image, alpha: Optional[float] = None):
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with gr.Blocks(analytics_enabled=True, title=PAPER_TITLE, theme="soft") as demo:
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gr.Markdown(MARKDOWN_DESCRIPTION)
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with gr.Row():
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with gr.Column():
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curr_image = gr.Image(label="input", type="pil")
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label="orig. image", type="pil", visible=False, interactive=False
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)
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alpha_slider = gr.Slider(0.0, 1.0, value=0.7, step=0.1, label="alpha")
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with gr.Row():
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clear_button = gr.
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run_button = gr.Button(value="Submit", variant="primary")
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with gr.Column():
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output_label = gr.Label(label="output", num_top_classes=5)
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examples = gr.Examples(
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examples=glob(os.path.join(os.path.dirname(__file__), "examples", "*.jpg")),
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inputs=[
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outputs=[output_label],
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fn=image_inference,
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cache_examples=True,
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)
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gr.Markdown(f"Check out the <a href={PAPER_URL}>original paper</a> for more information.")
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run_button.click(image_inference, [curr_image, alpha_slider], [output_label])
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if __name__ == "__main__":
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demo.queue()
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demo.launch(
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with gr.Blocks(analytics_enabled=True, title=PAPER_TITLE, theme="soft") as demo:
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# LAYOUT
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gr.Markdown(MARKDOWN_DESCRIPTION)
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with gr.Row():
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with gr.Column():
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curr_image = gr.Image(label="input", type="pil")
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_orig_image = gr.Image(
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label="orig. image", type="pil", visible=False, interactive=False
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)
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alpha_slider = gr.Slider(0.0, 1.0, value=0.7, step=0.1, label="alpha")
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with gr.Row():
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clear_button = gr.Button(value="Clear", variant="secondary")
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run_button = gr.Button(value="Submit", variant="primary")
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with gr.Column():
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output_label = gr.Label(label="output", num_top_classes=5)
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examples = gr.Examples(
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examples=glob(os.path.join(os.path.dirname(__file__), "examples", "*.jpg")),
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inputs=[_orig_image],
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outputs=[output_label],
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fn=image_inference,
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cache_examples=True,
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)
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gr.Markdown(f"Check out the <a href={PAPER_URL}>original paper</a> for more information.")
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# INTERACTIONS
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# - change
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_orig_image.change(prepare_image, [_orig_image], [curr_image, _orig_image])
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# - upload
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curr_image.upload(prepare_image, [curr_image], [curr_image, _orig_image])
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curr_image.upload(lambda: None, [], [output_label])
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# - clear
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curr_image.clear(lambda: (None, None), [], [_orig_image, output_label])
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# - click
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clear_button.click(lambda: (None, None, None), [], [curr_image, _orig_image, output_label])
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run_button.click(image_inference, [curr_image, alpha_slider], [output_label])
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if __name__ == "__main__":
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demo.queue()
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demo.launch()
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