Create app.py

app.py

@@ -0,0 +1,54 @@
+import gradio as gr
+from predictor import predict
+
+def make_prediction(distance_from_home, distance_from_last_transaction, 
+                    ratio_to_median_purchase_price, repeat_retailer, 
+                    used_chip, used_pin_number, online_order):
+    """
+    Prepares user input data and performs a local prediction.
+
+    Args:
+        distance_from_home (float): Distance from home.
+        distance_from_last_transaction (float): Distance from the last transaction.
+        ratio_to_median_purchase_price (float): Ratio to the median purchase price.
+        repeat_retailer (bool): Repeated retailer.
+        used_chip (bool): Used chip.
+        used_pin_number (bool): Used PIN number.
+        online_order (bool): Online order.
+
+    Returns:
+        str: Prediction result ("Fraudulent" or "Non-fraudulent").
+    """
+    try:
+        input_data = {
+            "distance_from_home": distance_from_home,
+            "distance_from_last_transaction": distance_from_last_transaction,
+            "ratio_to_median_purchase_price": ratio_to_median_purchase_price,
+            "repeat_retailer": int(repeat_retailer),
+            "used_chip": int(used_chip),
+            "used_pin_number": int(used_pin_number),
+            "online_order": int(online_order),
+        }
+        return predict(input_data)
+    except Exception as e:
+        return f"Unexpected error: {e}"
+
+# Gradio user interface
+iface = gr.Interface(
+    fn=make_prediction,
+    inputs=[
+        gr.Number(label="Distance from Home"),
+        gr.Number(label="Distance from Last Transaction"),
+        gr.Number(label="Ratio to Median Purchase Price"),
+        gr.Checkbox(label="Repeat Retailer"),
+        gr.Checkbox(label="Used Chip"),
+        gr.Checkbox(label="Used PIN Number"),
+        gr.Checkbox(label="Online Order"),
+    ],
+    outputs="text",
+    title="Fraud Detection with Local FHE Model",
+    description="Local interface using a compiled FHE model to detect fraud."
+)
+
+if __name__ == "__main__":
+    iface.launch()