Create app.py

app.py

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+import gradio as gr
+import datetime
+import random
+
+# Simulate theft detection (AI model logic will go here)
+def detect_theft(live_frame, lat, lon):
+    # Placeholder: randomly simulate detection
+    is_theft = random.choice([True, False])
+    time_detected = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    if is_theft:
+        alert = f"🚨 Theft detected at {time_detected}!"
+        location_map = f"""<iframe width="100%" height="300" src="https://maps.google.com/maps?q={lat},{lon}&z=15&output=embed"></iframe>"""
+        return alert, live_frame, location_map
+    else:
+        return "✅ No theft detected", None, None
+
+with gr.Blocks() as demo:
+    gr.Markdown("## 🚨 Theft Detection & Live Location Surveillance AI")
+    
+    with gr.Row():
+        cam = gr.Image(source="webcam", streaming=True, label="Live CCTV Feed")
+        with gr.Column():
+            lat = gr.Number(value=24.8607, label="Latitude")  # default: Karachi
+            lon = gr.Number(value=67.0011, label="Longitude")
+            detect_btn = gr.Button("Detect Theft")
+
+    alert_output = gr.Textbox(label="System Alert")
+    thief_img = gr.Image(label="Captured Frame (If Theft Detected)")
+    map_output = gr.HTML(label="Live Location Map")
+
+    detect_btn.click(detect_theft, inputs=[cam, lat, lon], outputs=[alert_output, thief_img, map_output])
+
+demo.launch()