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app.py

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+from __future__ import annotations
+
+import gradio as gr
+
+from environment.env import WorkLifeFirewallEnv
+
+
+def run_episode(policy_style: str):
+    env = WorkLifeFirewallEnv(randomize_order=False, seed=42)
+    obs = env.reset()
+    done = False
+    logs = []
+
+    while not done:
+        event = obs["event"]
+        if policy_style == "strategic":
+            action = (
+                "I will send a clear async update, protect focus, and commit a concrete timeline."
+            )
+        elif policy_style == "people_pleaser":
+            action = "Sure, I will do it now."
+        else:
+            action = "I will handle this with a clear plan."
+
+        obs, reward, done, info = env.step(action)
+        logs.append(f"{event['id']} -> reward {reward:.3f} | action: {action}")
+
+    state = env.state()
+    summary = (
+        f"Friday energy: {state['energy_pct']}%\n"
+        f"Sprint health: {state['sprint_health_pct']}%\n"
+        f"Leave: {state['leave_status']}\n"
+    )
+    if info.get("components"):
+        summary += "\nComponent scores:\n"
+        summary += "\n".join([f"- {k}: {v:.3f}" for k, v in info["components"].items()])
+    return "\n".join(logs), summary
+
+
+demo = gr.Interface(
+    fn=run_episode,
+    inputs=gr.Radio(
+        choices=["strategic", "balanced", "people_pleaser"],
+        value="balanced",
+        label="Policy style",
+    ),
+    outputs=[
+        gr.Textbox(label="Episode log", lines=18),
+        gr.Textbox(label="Outcome"),
+    ],
+    title="Work-Life Firewall",
+    description="HF Space demo for boundary-setting environment behavior.",
+)
+
+
+if __name__ == "__main__":
+    demo.launch()