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Update README.md

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  # Stroke Classification ResNet Model
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@@ -60,4 +71,4 @@ def preprocess_image_for_prediction(image_path, target_size=(224, 224), pixel_th
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  # predicted_class_name = CLASS_NAMES[predicted_class_index]
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  # confidence = np.max(predictions[0]) * 100
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  # print(f"Predicted: {predicted_class_name} with {confidence:.2f}% confidence")
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- ```
 
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+ ---
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+ language:
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+ - en
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+ pipeline_tag: image-classification
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+ tags:
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+ - stroke
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+ - medical
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+ - classification
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+ - ischemic
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+ - hemorrhagic
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+ ---
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  # Stroke Classification ResNet Model
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  # predicted_class_name = CLASS_NAMES[predicted_class_index]
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  # confidence = np.max(predictions[0]) * 100
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  # print(f"Predicted: {predicted_class_name} with {confidence:.2f}% confidence")
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+ ```