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Update app.py
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app.py
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@@ -64,6 +64,13 @@ examples = [
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["tu2.jpg", 0.25, 0.45],
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["tu3.jpg", 0.25, 0.45],
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]
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# demo_app = gr.Interface(examples=examples,
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# fn=yolov8_inference,
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# inputs=inputs,
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@@ -95,13 +102,16 @@ with gr.Blocks() as demo:
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with gr.Row():
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IOU_Slider=gr.Slider(minimum=0.0, maximum=1.0, value=0.45, step=0.05, label="IOU Threshold")
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# Define the event listener that connects the input and output components and triggers the function
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button.click(fn=get_results, inputs=[image_input, conf_slider,IOU_Slider], outputs=output, api_name="yolov8_inference")
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# Add the description below the layout
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gr.Markdown(description_html)
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# Launch the app
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["tu2.jpg", 0.25, 0.45],
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["tu3.jpg", 0.25, 0.45],
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]
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outputs = [
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["1.jpg"], # First example: an output image for the cat example
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["2.jpg"] # Second example: an output image for the dog example
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,["3.jpg"]
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]
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# demo_app = gr.Interface(examples=examples,
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# fn=yolov8_inference,
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# inputs=inputs,
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with gr.Row():
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IOU_Slider=gr.Slider(minimum=0.0, maximum=1.0, value=0.45, step=0.05, label="IOU Threshold")
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button = gr.Button("Run")
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# Define the event listener that connects the input and output components and triggers the function
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button.click(fn=get_results, inputs=[image_input, conf_slider,IOU_Slider], outputs=output, api_name="yolov8_inference")
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gr.Examples(inputs=inputs, outputs=outputs)
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# Add the description below the layout
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gr.Markdown(description_html)
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# Launch the app
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