fix: handle webapp.benchmark module path in Docker container

webapp/main.py

@@ -180,7 +180,10 @@ async def benchmark(
         
         # Cache the Best Overall model for the Live Playground
         best_name = result["recommendation"]["recommendations"]["best_overall"]["model"]
-        from benchmark import BUILDERS, _prep, _encode_target
+        try:
+            from benchmark import BUILDERS, _prep, _encode_target
+        except ImportError:
+            from webapp.benchmark import BUILDERS, _prep, _encode_target
         X = df.drop(columns=[target_col])
         y_raw = df[target_col]
         task = result["dataset_info"]["task"]
@@ -234,7 +237,10 @@ async def predict(data: dict):
         # Ensure column order matches training
         input_df = input_df[CHAMPION_INFO["features"]]
         
-        from benchmark import _prep
+        try:
+            from benchmark import _prep
+        except ImportError:
+            from webapp.benchmark import _prep
         # Use the EXACT same encoders that were used during training
         X_test, _ = _prep(input_df, encoders=CHAMPION_INFO.get("encoders"))