app.py

import cv2
import gradio as gr


face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

def detect_faces(frame):
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)
    print(f"Detected {len(faces)} faces")
    return len(faces)

import gradio as gr

camera = cv2.VideoCapture(0)

def detect_faces_in_video():
    success, frame = camera.read()
    if success:
        num_faces = detect_faces(frame)
        return int(num_faces)
    else:
        return None

iface = gr.Interface(fn=detect_faces_in_video, inputs="webcam", outputs="number", title="Webcam Face Detection")
iface.launch()