app.py

import cv2
import gradio as gr

# Your RTSP stream URL
RTSP_URL = "rtsp://Nani@471:Nani@471@192.168.1.13:554/stream1"

# Load OpenCV's built-in face detection model
face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")

def get_rtsp_frame():
    cap = cv2.VideoCapture(RTSP_URL)
    if not cap.isOpened():
        return None
    
    ret, frame = cap.read()
    cap.release()

    if not ret:
        return None

    # Convert to grayscale for face detection
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    # Draw rectangles around faces
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

    return cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)

# Gradio app
gr.Interface(
    fn=get_rtsp_frame,
    inputs=[],
    outputs=gr.Image(type="numpy", label="Live RTSP Feed with Face Detection"),
    live=True,
    title="RTSP CCTV Face Detection"
).launch()