algorithm.py

from PIL import  Image
def run_app(img_path):
    img = Image.open(img_path)
    plt.imshow(img)
    plt.show()
    if dog_detector(img_path):
        print('Dog detected, Breed is ', end=' ')
        breed = Resnet50_predict_breed(img_path)
        print(breed)
    elif face_detector(img_path):
        print('Human detected\n Looks like: ', end=' ')
        breed = Resnet50_predict_breed(img_path)
        print(breed)
    else:
        print('Not a dog or human')
        
import os
files = os.listdir('upload_img/')
file.remove('.ipynb_checkpoints')
for file in files:
  run_app('upload_img/'+ file)
    run_app('upload_img/'+ file)