text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
import tensorflow as tf

import tensorflow as tf
import numpy as np
from PIL import Image
model = tf.saved_model.load('/kaggle/input/efficientnet-cassava-disease-classification/EfficientNet')
classes = ['Cassava Bacterial Blight (CBB)', 'Cassava Brown Streak Disease (CBSD)', 'Cassava Green Mottle (CGM)', 'Cassava Mosaic Disease (CMD)', 'Healthy']