为什么会出现 "TypeError: 'numpy.ndarray' object is not callable"，如何解决这个问题？

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我目前正在从tensorflow系列学习ML。在这种情况下，是关于文本分类的。正如你在代码中所看到的，我已经训练好了模型，并将其保存为一个文件来测试它。

加载已保存的文件

modelFile = keras.models.load_model('model_text_classification.h5')
Function to encode:
def review_encode(string):
  '''look up the mapping of all the words and return to us an encoded list'''
  encoded = [1] # start with 1 as a starting tag as the system with word_index['<START>'] = 1
  for word in string:
    if word in word_index:
      encoded.append(word_index[word.lower()])
    else:
      encoded.append(2) # as the END tag
  return encoded
Pre-processing:
the file is a large string, but I need to convert this into an encoded list of numbers
the size of the text is only at max 256 words, because that's how I was using when I trained the data  
with open('lion_king.txt', encoding = 'utf-8') as f:
  for line in f.readlines():
    nline = line.replace(',', '').replace('.', '').replace('(', '').replace(')', '').replace('\"', '').replace(':', '')
    nline = nline.split(' ')
    # encode and trim the data down to 256 words
    encode = review_encode(nline)
    encode = keras.preprocessing.sequence.pad_sequences([encode], value = word_index['<PAD>'], padding = 'post', maxlen = 256) # [encode], because is expecting a list of lists
    # using the model to make a prediction
    predict = model.predict_classes(encode)
    print(line)
    print(encode)
    print(predict(encode[0])) #HERE IS ERROR
Expecting output:
打印预测结果为96%的正面。

例子。 [0.9655667]
完整的追踪记录。
TypeError                                 Traceback (most recent call last)
<ipython-input-58-790c338a89ce> in <module>()
     13     print(line)
     14     print(encode)
---> 15     print(predict(encode[0]))
TypeError: 'numpy.ndarray' object is not callable