Upload app.py
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app.py
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@@ -170,7 +170,7 @@ def process_image(image):
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return Image.fromarray(annotated_img_rgb), det_df, metrics_df
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with gr.Blocks() as demo:
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gr.Markdown("#
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gr.Markdown("Upload an image and the model will return bounding boxes, classes, and confidence scores.")
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gr.Markdown("Metrics shown below are pre-computed and hardcoded into the code.")
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return Image.fromarray(annotated_img_rgb), det_df, metrics_df
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with gr.Blocks() as demo:
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gr.Markdown("# YOLOn11 Cell Detection Web App")
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gr.Markdown("Upload an image and the model will return bounding boxes, classes, and confidence scores.")
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gr.Markdown("Metrics shown below are pre-computed and hardcoded into the code.")
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