Fixe s for HF hosting

app.py

@@ -63,7 +63,7 @@ logger = logging.getLogger("dashboard-server")
 # Backend URL
 # ─────────────────────────────────────────────────────────────────────────────
 
-_BACKEND_BASE_URL: str = os.environ.get("BACKEND_API_URL", "http://localhost:7860")
+_BACKEND_BASE_URL: str = os.environ.get("BACKEND_API_URL", "http://localhost:8000")
 
 
 # ─────────────────────────────────────────────────────────────────────────────
@@ -160,12 +160,6 @@ def run_pipeline(
 # Helpers
 # ─────────────────────────────────────────────────────────────────────────────
 
-# URL of the noisy_boy_backend — used to fetch the validated causal matrix.
-# By default, point to ourselves since we now successfully mount the backend routers.
-# Override via BACKEND_API_URL env var if running a separate backend on 8000.
-_BACKEND_BASE_URL = os.environ.get("BACKEND_API_URL", "http://localhost:7860")
-
-
 def _fetch_causal_matrix(
     ticker: str,
     treatment: Optional[str] = None,
@@ -404,8 +398,9 @@ def _abduct_and_predict(
 #   2. Use the payload data (equations, adj, data_level) for inference
 #      using pure numpy/pandas — no local causal training imports required.
 #   3. Optionally consult pywhyllm guidance from the backend payload.
+from huggingface_hub import spaces
 
-
+@spaces.GPU
 def run_inference(
     ticker: str = "RELIANCE",
     mode: str = "assert",
@@ -877,4 +872,5 @@ if __name__ == "__main__":
         server_name=host,
         server_port=port,
         show_error=True,
+        ssr_mode="cdn"
     )

requirements.txt

@@ -28,6 +28,7 @@ packaging==26.0
 pandas==2.3.3
 pillow==12.2.0
 pydantic==2.12.5
+pydantic_core==2.41.5
 pydub==0.25.1
 Pygments==2.20.0
 python-dateutil==2.9.0.post0