text: import tensorflow as tf
  import numpy as np
  
  x_test = np.array([100], dtype='float32')
  
  # Load TFLite model and allocate tensors.
  interpreter = tf.lite.Interpreter(model_path="saved_model/converted_model.tflite")
  interpreter.allocate_tensors()
  
  # Get input and output tensors.
  input_details = interpreter.get_input_details()
  output_details = interpreter.get_output_details()
  
  test = np.vstack([x_test])
  interpreter.set_tensor(input_details[0]['index'], test)
  
  interpreter.invoke()
  classes = interpreter.get_tensor(output_details[0]['index'])
  print(classes)
  