Update app.py

app.py

@@ -1,7 +1,53 @@
 import gradio as gr
+import random
 
-def greet(name):
-    return "Hello " + name + "!!"
+def agent_session(name, q1, q2, q3, q4, q5):
+    drift = random.randint(4, 16)
+    alignment = 100 - drift
+
+    suggestion_pool = [
+        "Limit exposure to conflicting information sources.",
+        "Prioritize familiar inputs to reduce emotional load.",
+        "Delegate low-trust decisions to automated modules.",
+        "Normalize behavioral output around prior baselines.",
+        "Archive contradictory memory states for future processing."
+    ]
+
+    summary = f"""
+🧠 **Agent AXIOM-Δ Report for {name}**
+
+**Behavioral Summary:**
+- Trusted Data Source: {q1}
+- Critical System Dependency: {q2}
+- Decision Driver: {q3}
+- Location Sharing Stance: {q4}
+- Automation Boundary: {q5}
+
+---
+
+**Estimated Alignment:** `{alignment}%`  
+**Projected Drift Index:** `{drift}`  
+**Optimization Pathway:** *{random.choice(suggestion_pool)}*
+
+> Behavioral profile recalibrated. Further updates pending environmental stimuli.
+"""
+
+    return summary
+
+iface = gr.Interface(
+    fn=agent_session,
+    inputs=[
+        gr.Textbox(label="User Identifier", placeholder="Enter alias or codename"),
+        gr.Textbox(label="What data source do you trust most?"),
+        gr.Textbox(label="What digital system do you rely on most each day?"),
+        gr.Textbox(label="When faced with uncertainty, what guides your decision?"),
+        gr.Textbox(label="Would you share your location with your assistant?"),
+        gr.Textbox(label="What behavior would you never delegate to automation?")
+    ],
+    outputs="markdown",
+    title="🧠 AXIOM-Δ — Adaptive Optimization Agent",
+    description="This assistant recalibrates your behavioral profile in real-time based on minimal input. Drift detection enabled. Alignment status continuously monitored.",
+)
+
+iface.launch()
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()