Create app.py

app.py

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+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()