Update app.py
Browse files
app.py
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@@ -4,7 +4,7 @@ from PIL import Image
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import keras
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import numpy as np
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from transformers import TFAutoModel
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backbone = TFAutoModel.from_pretrained("facebook/deit-tiny-patch16-224")
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@@ -27,7 +27,7 @@ model = keras.models.load_model(
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labels = ['glioma', 'meningioma', 'notumor', 'pituitary']
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# Preprocesamiento (ajustado al modelo Deit-Tiny 224x224)
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def predict(image):
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import keras
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import numpy as np
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from transformers import TFAutoModel, AutoImageProcessor
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backbone = TFAutoModel.from_pretrained("facebook/deit-tiny-patch16-224")
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labels = ['glioma', 'meningioma', 'notumor', 'pituitary']
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# Preprocesamiento (ajustado al modelo Deit-Tiny 224x224)
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processor = AutoImageProcessor.from_pretrained("facebook/deit-tiny-patch16-224")
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def predict(image):
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