Web app partial code

while True:
    frames = []

    for i in range(0, duration): # duration is basically the number of frames I need per blob
        (grabbed, frame) = video_stream.read()

        if not grabbed:
            print("Finishing...")
            sys.exit(0)

        frame = imutils.resize(frame, width=400)
        frames.append(frame)

    frame_blob = cv2.dnn.blobFromImages(frames, 1.0,
                                  (frame_size, frame_size),
                                  (114.7748, 107.7354, 99.4750),
                                  swapRB=True, crop=True)
    frame_blob = np.transpose(frame_blob, (1, 0, 2, 3))
    frame_blob = np.expand_dims(frame_blob, axis=0)

    neural_network.setInput(frame_blob)
    outputs = neural_network.forward()