import cv2
import streamlit as st
import tempfile

try:
    face_cascade = cv2.CascadeClassifier('XML/faces.xml')
except Exception:
    st.write("Error loading cascade classifiers")

def censor_face(filePath):
    
    #output_file = 'Output/censored_' + str(filePath.name) + '.mp4'
    
    video=cv2.VideoCapture(filePath.name)
    success, frame = video.read()
    
    height = frame.shape[0]
    width = frame.shape[1]

    #st.write(height, width)

    #gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    #st.write("Frame: " + str(frame))

    tfile2 = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
    #tfile2.write("Censored.mp4")
    
    output=cv2.VideoWriter(tfile2.name, cv2.VideoWriter_fourcc(*'mp4v'), 30, (width, height))
    
    while success:
        faces = face_cascade.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)
        #tfile2.write(frame)
        success, frame = video.read()    
    
    output.release()    
    #video.release()
    
    return tfile2