text: import cv2
  from keras.models import load_model
  import numpy as np
  print("IM IN CNN TESTING")
  def predict(filename):
  	model = load_model("./alex-cnn.h5")
  	# filename = "/home/atharva/a2iot/deeplearning/DDAE/spectrograms/spectrograms_chunks_noise/chunk24.png"
  	# filename = "/home/atharva/a2iot/deeplearning/DDAE/spectrograms/spectrograms_test_enhanced/chunk1107.png"
  
  	img = cv2.imread(filename)
  	img = cv2.resize(img, (224,224))
  	img = np.reshape(img, (1,224,224,3))
  	print(img.shape)
  	pred = model.predict(img)
  	print(pred)
  	return pred