scratch.txt

# create switch for ON/OFF predictor text functionality
    img = np.zeros((300,512,3), np.uint8)
    switch = '0 : OFF : ON'
    #Parameters: LabelforTrackbar, Window, Minimum Value, Max Value, callback(function that will be called whenever value changes)
    cv2.createTrackbar(switch, 'ASL Translation App',0,1,nothing)
    s = cv2.getTrackbarPos(switch,'ASL Translation App')
    #If switch is on then execute predictor text file. 
    if s == 1:
        exec(open('markov_nextwordpred.py').read())
        img[:] = 1
        print("Somethin' happenings!")
    else: 
        img[:] = 0

if keypress == ord('t'):
        #exec(open('markov_nextwordpred.py').read()) 
        os.system('python Gesture_Recognize_sign.py &')
        os.system('python markov_nextwordpred.py &')

if __name__ == '__main__':
    for file in ('markov_nextwordpred'): 
        p = multiprocessing.Process(target=lambda __import__: file)
        p.start()


        for output in process.stdout:
            #output is constantly being changed.  
            sys.stdout.write(output)