fix: LAION V2 import — correct module (aesthetics_predictor), class (V2Linear), and model ID (sac-logos-ava1-l14-linearMSE)

src/scorers/laion.py

@@ -17,20 +17,24 @@ class LaionScorer:
         """Load model weights (downloads ~2GB on first run)."""
         try:
             import torch  # noqa: F401
-            from simple_aesthetics_predictor import AestheticsPredictorV1  # noqa: F401
+
-            from transformers import CLIPProcessor  # noqa: F401
+            # Package on PyPI is `simple-aesthetics-predictor`, but the
+            # importable module is `aesthetics_predictor` (no `simple_`).
+            from aesthetics_predictor import AestheticsPredictorV2Linear
+            from transformers import CLIPProcessor
 
             print(f"  Loading LAION V2 model... (first run downloads ~2GB)")
             print(f"  Cache directory: {self._cache_dir}")
-            from simple_aesthetics_predictor import AestheticsPredictorV1
-            from transformers import CLIPProcessor
 
-            self.model = AestheticsPredictorV1.from_pretrained(
+            # V2 trained on SAC + LAION-Logos + AVA (current best per research)
-                "shunk031/aesthetics-predictor-v2-vit-large-patch14",
+            model_id = "shunk031/aesthetics-predictor-v2-sac-logos-ava1-l14-linearMSE"
+
+            self.model = AestheticsPredictorV2Linear.from_pretrained(
+                model_id,
                 cache_dir=self._cache_dir,
             )
             self.processor = CLIPProcessor.from_pretrained(
-                "shunk031/aesthetics-predictor-v2-vit-large-patch14",
+                model_id,
                 cache_dir=self._cache_dir,
             )
             self.model.eval()