fix

app.py

@@ -1,81 +1,14 @@
 from __future__ import annotations
 
-import json
 import os
 
-import gradio as gr
-
-from server.app import app as api_app
-from support_ops_env.models import Action
-from support_ops_env.tasks import list_task_ids
-
-
-def reset_env(task_id: str) -> str:
-    from server.app import _http_env
-
-    observation = _http_env.reset(task_id=task_id)
-    return json.dumps(observation.model_dump(), indent=2)
-
-
-def step_env(task_id: str, action_type: str, target: str, value: str) -> tuple[str, str]:
-    from server.app import _http_env
-
-    state = _http_env.state()
-    if state.task_id != task_id or (state.step_count == 0 and not state.done):
-        _http_env.reset(task_id=task_id)
-
-    action = Action(action_type=action_type, target=target or "T1", value=value or None)
-    observation, reward, done, info = _http_env.step(action)
-    payload = {
-        "reward": reward.model_dump(),
-        "done": done,
-        "info": info,
-    }
-    return json.dumps(observation.model_dump(), indent=2), json.dumps(payload, indent=2)
-
-
-with gr.Blocks(title="SupportOpsEnv") as demo:
-    gr.Markdown("# SupportOpsEnv")
-    gr.Markdown("Multi-step support triage benchmark with deterministic graders.")
-
-    task_id = gr.Dropdown(choices=list_task_ids(), value=list_task_ids()[0], label="Task")
-    action_type = gr.Dropdown(
-        choices=[
-            "inspect_ticket",
-            "request_context",
-            "set_priority",
-            "set_route",
-            "set_resolution",
-            "escalate",
-            "rank_queue",
-            "finalize",
-        ],
-        value="inspect_ticket",
-        label="Action Type",
-    )
-    target = gr.Textbox(value="T1", label="Target Ticket")
-    value = gr.Textbox(label="Value")
-    observation_output = gr.Code(label="Observation", language="json")
-    result_output = gr.Code(label="Step Result", language="json")
-
-    reset_button = gr.Button("Reset")
-    step_button = gr.Button("Step")
-
-    reset_button.click(reset_env, inputs=[task_id], outputs=[observation_output])
-    step_button.click(
-        step_env,
-        inputs=[task_id, action_type, target, value],
-        outputs=[observation_output, result_output],
-    )
-
-
-app = gr.mount_gradio_app(api_app, demo, path="/ui")
+from server.app import app
 
 
 def main(host: str = "0.0.0.0", port: int | None = None) -> None:
     import uvicorn
 
-    resolved_port = port or int(os.getenv("PORT", os.getenv("GRADIO_SERVER_PORT", "7860")))
+    resolved_port = port or int(os.getenv("PORT", "7860"))
     uvicorn.run(app, host=host, port=resolved_port)