import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import numpy as np

def rgb2gray(rgb):
    return np.dot(rgb[...,:3], [0.299, 0.587, 0.114])

FILE = '0.png'
source = rgb2gray(mpimg.imread(FILE))

picture = np.zeros([1,784])

for i in range(28):
  for j in range(28):
    picture[0][i*28 + j] = source[i][j]

result = model.predict(picture)

max_val, max_class = 0, 0
for i in range(num_classes):
  if result[0][i] > max_val:
    max_val, max_class = result[0][i], i

print(result[0])
print('Result:', max_class, '\n')
print('Picutre from source:')
plt.imshow(mpimg.imread(FILE))