Update app.py

app.py

@@ -697,6 +697,116 @@ with demo:
 
     gr.Markdown("<hr />")
 
+    ########################## Encrypt Data ##########################
+
+    gr.Markdown(
+        "## Step 2: Make your purchase\n\n"
+        """ 
+        🛍️ It's time to shop! To simulate your latest purchase, please provide the details of your most recent transaction.
+        
+        If you don't have an idea, you can pre-fill with an example of fraud or non-fraud.
+        """
+    )
+
+    def prefill_fraud():
+        return 34, 50, 3, False, False, False, True
+    
+    def prefill_no_fraud():
+        return 12, 2, 0.7, True, False, True, False
+
+    with gr.Row():
+        prefill_button = gr.Button("Exemple Fraud")
+        prefill_button_no = gr.Button("Exemple No-Fraud")
+
+    with gr.Row():
+        with gr.Column():
+            distance_home = gr.Number(
+                minimum=float(0),
+                maximum=float(22000),
+                step=1, 
+                value=10,
+                label="Distance from Home", 
+                info="How far was the purchase from your home (in km)?"
+            )
+            distance_last = gr.Number(
+                minimum=float(0),
+                maximum=float(22000),
+                step=1,
+                value=1,
+                label="Distance from Last Transaction", 
+                info="Distance between this purchase and the last one (in km)?"
+            )
+            ratio = gr.Number(
+                minimum=float(0),
+                maximum=float(10000),
+                step=0.1,
+                value=1,
+                label="Ratio to Median Purchase Price", 
+                info="Purchase ratio compared to your average purchase",
+            )
+            repeat_retailer = gr.Checkbox(
+                label="Repeat Retailer",
+                info="Check if you are purchasing from the same retailer as your last transaction"
+            )
+            used_chip = gr.Checkbox(
+                label="Used Chip",
+                info="Check if you used a chip card for this transaction"
+            )
+            used_pin_number = gr.Checkbox(
+                label="Used Pin Number",
+                info="Check if you used your PIN number during the transaction"
+            )
+            online = gr.Checkbox(
+                label="Online Order",
+                info="Check if you made your purchase online"
+            )
+
+        
+    prefill_button.click(
+        fn=prefill_fraud,
+        inputs=[],
+        outputs=[
+            distance_home, 
+            distance_last, 
+            ratio, 
+            repeat_retailer, 
+            used_chip, 
+            used_pin_number, 
+            online
+        ]
+    )
+
+    prefill_button_no.click(
+        fn=prefill_no_fraud,
+        inputs=[],
+        outputs=[
+            distance_home, 
+            distance_last, 
+            ratio, 
+            repeat_retailer, 
+            used_chip, 
+            used_pin_number, 
+            online
+        ]
+    )
+
+    with gr.Row():
+        with gr.Column(scale=2):
+            encrypt_button_applicant = gr.Button("Encrypt the inputs and send to server.")
+            
+            encrypted_input_applicant = gr.Textbox(
+                label="Encrypted input representation:", max_lines=2, interactive=False
+            )
+
+    encrypt_button_applicant.click(
+        pre_process_encrypt_send_purchase,
+        inputs=[distance_home, distance_last, ratio, repeat_retailer, used_chip, used_pin_number, \
+                online],
+        outputs=[encrypted_input_applicant, encrypt_button_applicant],
+    )
+
+    gr.Markdown("<hr />")
+
 
 
 
@@ -1027,18 +1137,6 @@ demo.launch(share=False)
 
 #     gr.Markdown("<hr />")
 
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 #     ########################## Encrypt Data ##########################
 
 #     gr.Markdown(
@@ -1149,6 +1247,22 @@ demo.launch(share=False)
 
 #     gr.Markdown("<hr />")
 
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 #     ########################## Model Prediction ##########################
 
 #     gr.Markdown("## Step 3: Run the FHE evaluation.")