import cv2
import streamlit as st
import tempfile

def censor_face(filePath):
    
    output_file = 'Output\censored_' + str(filePath.name)
    
    video=cv2.VideoCapture(filePath.name)
    success, frame = video.read()
    
    height = frame.shape[0]
    width = frame.shape[1]

    print(height, width)
        
    face_cascade=cv2.CascadeClassifier('XML\faces.xml')
    tfile2 = tempfile.NamedTemporaryFile(delete=False)
    tfile2.write(face_cascade.read())
    
    output=cv2.VideoWriter(output_file, cv2.VideoWriter_fourcc(*'mp4v'), 30, (width, height))
    
    while success:
        faces = tfile2.detectMultiScale(frame, 1.1, 4)
        for (x,y, w, h) in faces: #multiple faces in a video
            frame[y:y+h, x:x+w] = cv2.blur(frame[y:y+h, x:x+w], (150, 150))
        output.write(frame)
        success, frame = video.read()    
    
    output.release()
    return output_file