import urllib.request

import json

import webbrowser

import cv2
import os
import moviepy.video.io.ImageSequenceClip

import cv2
 
# Opens the Video file
***= cv2.VideoCapture('boys.mp4')
**0
uu=[]
while(***.isOpened()):
    ret, frame = ***.read()
    if ret == False:
        break
    cv2.imwrite('boys'+str(i)+'.jpg',frame)
    uu.append('boys'+str(i)+'.jpg')
    i+=1
 
***.release()
cv2.destroyAllWindows()
print(uu)
print(len(uu))



webbrowser.open('https://deepai.org/machine-learning-model/colorizer')
print("dtstjbnbbbbbbbbbbbbbbbbbbbbbbrdtr")

ty=[]

for bb in range(len(uu)):
	bb=str(bb)
	gg='boys'+bb+'.jpg'
	import requests
	r = requests.post(
    "https://api.deepai.org/api/colorizer",
    

    files={
        'image': open(gg, 'rb'),
    },
    headers={'api-key': 'b28337b1-80ae-4596-933c-d3334997b1b2'}
	)
	print(r.json())



	print("dtstrdjkkkkkkkkkkkkkkkkkkkkkkkkkktr")


	gg=str(r.json())
	print(gg)
	print(gg[61:],"WWWWWWWWWWWWWWWWWWWWWW")
	rr=(gg[62:])
	print(rr[0:-2])

	endid=(rr[0:-2])

	print(endid)

	endidwith="'"+endid+"'"
	print(endidwith)



#webbrowser.open(endidwith)
	webbrowser.open(endid)

	import urllib.request

	urllib.request.urlretrieve(endid, "boys"+bb+".jpg")
	ty.append("boys"+bb+".jpg")



fps=24
image_files = ty
clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(image_files, fps=fps)
clip.write_videofile('boyz.mp4')






cv2.waitKey(0)
cv2.destroyAllWindows()