app.py

import cv2
import gradio as gr

def detect_faces(image):
    gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
    faces = face_cascade.detectMultiScale(gray_image, scaleFactor=1.1, minNeighbors=5)
    for (x, y, w, h) in faces:
        cv2.rectangle(image, (x, y), (x+w, y+h), (255, 0, 0), 2)
    return image, f"Number of faces detected: {len(faces)}"

iface = gr.Interface(fn=detect_faces, inputs=gr.inputs.Image(shape=(480, 640), source="webcam"), outputs=["image", "text"], title="Face Detection App")
iface.launch()