app.py

import gradio as gr
from detect import detect_theft
from gps import generate_map
from gtts import gTTS
import base64

def run_system(image):
    # Step 1: Run theft detection
    detected_img, thief_img_path = detect_theft(image)

    # Step 2: Generate map
    map_file = generate_map()

    # Step 3: Voice alert
    message = "Alert! Thief detected near GPS location twenty-four point eight six zero seven, sixty-seven point zero zero one one."
    tts = gTTS(message)
    tts.save("alert.mp3")
    audio_file = "alert.mp3"

    # Step 4: Convert thief image to HTML
    with open(thief_img_path, "rb") as f:
        thief_image_bytes = f.read()
        thief_image_base64 = base64.b64encode(thief_image_bytes).decode()
    thief_image_html = f'<img src="data:image/jpeg;base64,{thief_image_base64}" width="400"/>'

    # Step 5: Read map HTML
    with open(map_file, "r", encoding="utf-8") as f:
        map_html = f.read()

    return detected_img, thief_image_html, map_html, audio_file

# Gradio UI
gr.Interface(
    fn=run_system,
    inputs=gr.Image(type="pil", label="Live CCTV Frame (Auto-detect mode)"),
    outputs=[
        gr.Image(type="pil", label="🔍 Detected Theft"),
        gr.HTML(label="🕵️‍♂️ Thief's Photo"),
        gr.HTML(label="📍 GPS Map"),
        gr.Audio(label="🗣️ Voice Alert"),
    ],
    title="🚨 Theft Detection & Live Location Surveillance AI",
    description="AI-based surveillance system to detect theft, capture thief's photo, show location, and generate voice alert automatically."
).launch()