Update app.py

app.py

@@ -6,6 +6,7 @@ from tensorflow.keras.preprocessing.image import load_img, img_to_array
 from tensorflow.keras.applications.densenet import preprocess_input, decode_predictions
 import numpy as np 
 from PIL import Image
+import matplotlib.pyplot as plt
 model = load_model('Densenet.h5')
 model.load_weights("pretrained_model.h5")
 layer_name = 'conv5_block16_concat'