Update app.py
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app.py
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@@ -45,15 +45,20 @@ from tensorflow import keras
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from PIL import Image
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# Cell 1: Image Classification Model
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model1 = from_pretrained_keras("rocioadlc/
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'glass',
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'metal',
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'paper',
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'plastic',
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'
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def predict_image(image_input):
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# Resize the image to the size expected by the model
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from PIL import Image
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# Cell 1: Image Classification Model
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model1 = from_pretrained_keras("rocioadlc/EfficientNetV2L_2")
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class_labels = ['battery',
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'biological',
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'brown-glass',
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'cardboard',
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'clothes',
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'green-glass',
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'metal',
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'paper',
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'plastic',
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'shoes',
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'trash',
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'white-glass']
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def predict_image(image_input):
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# Resize the image to the size expected by the model
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