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Brain_Tumor_Detection_Using_Tensorflow
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Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -6,7 +6,7 @@ from PIL import Image
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  from sklearn.preprocessing import LabelEncoder
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  # Load your pre-trained model (Make sure this matches the version used during training)
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- model = tf.keras.models.load_model('dementia_cnn_model.h5')
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  # Example class labels (update this list with your actual class labels)
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  class_labels = ['glioma', 'pituitary', 'meningioma', 'healthy']
 
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  from sklearn.preprocessing import LabelEncoder
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  # Load your pre-trained model (Make sure this matches the version used during training)
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+ model = tf.keras.models.load_model('brain_tumor_model.h5')
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  # Example class labels (update this list with your actual class labels)
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  class_labels = ['glioma', 'pituitary', 'meningioma', 'healthy']