如何在print(Classes[int(result)])上修复此错误？

import numpy as np
import matplotlib.pyplot as plt

# Pre-Processing test data same as train data.
img_width=256
img_height=256
#model.compile(optimizer='adam',loss='categorical_crossentropy',metrics=['accuracy'])

def prepare(img_path):
    img = tf.keras.utils.load_img(img_path, target_size=(256, 256))
    x = image.img_to_array(img)
    x = x/255
    return np.expand_dims(x, axis=0)
    
    
result = model.predict([prepare('/content/Soil_With_CNN/test/Clay/clay.test.100.jpg')])
disease=tf.keras.utils.load_img('/content/Soil_With_CNN/test/Clay/clay.test.100.jpg')
plt.imshow(disease)
#result.astype(int)
print(Classes[int(result)])

字符串
该代码给出：

TypeError: only size-1 arrays can be converted to Python scalars

型
我该怎么解决？