fix(zerogpu): place spaces import before torch and enable demo.queue()

.gitignore

@@ -0,0 +1,3 @@
+__pycache__/
+*.pyc
+.env

app.py

@@ -1,3 +1,17 @@
+# ZeroGPU Spaces compatibility (Must be imported before torch)
+try:
+    import spaces
+    HAS_SPACES = True
+except Exception:
+    class DummySpaces:
+        @staticmethod
+        def GPU(duration=60):
+            def decorator(fn):
+                return fn
+            return decorator
+    spaces = DummySpaces()
+    HAS_SPACES = False
+
 import os
 import io
 import time
@@ -19,20 +33,6 @@ from fastapi.responses import JSONResponse
 from pydantic import BaseModel, Field
 import gradio as gr
 
-# ZeroGPU Spaces compatibility
-try:
-    import spaces
-    HAS_SPACES = True
-except Exception:
-    class DummySpaces:
-        @staticmethod
-        def GPU(duration=60):
-            def decorator(fn):
-                return fn
-            return decorator
-    spaces = DummySpaces()
-    HAS_SPACES = False
-
 # Import official Kronos architecture from local package
 try:
     from model import Kronos, KronosTokenizer, KronosPredictor
@@ -672,6 +672,7 @@ with gr.Blocks(title="Kronos + Laya Portfolio & Trade Analysis Engine") as demo:
         gr.Markdown("### Sub-50ms Non-Autoregressive Risk Gate")
         gr.JSON(value={"status": "online", "engine": "Laya ModernBERT", "latency_ms": 33.0})
 
+demo.queue()
 app = gr.mount_gradio_app(fastapi_app, demo, path="/")
 
 if __name__ == "__main__":