fix: self-contained LAION V2 (CLIP via transformers + official .pth head), no remote code, no stale wrapper

requirements.txt

@@ -1,13 +1,13 @@
 # Photo Judgers — Requirements
 # Install in conda env: pip install -r requirements.txt
 #
-# We load the LAION V2 model directly via transformers (trust_remote_code),
-# so we do NOT depend on the stale `simple-aesthetics-predictor` wrapper
-# (breaks with modern transformers). torch is required by transformers.
+# LAION V2 scorer uses OpenAI CLIP via transformers (stable API, no remote
+# code) plus a small linear head loaded from the official .pth. This avoids
+# the stale `simple-aesthetics-predictor` wrapper and transformers remote
+# code, both of which break on modern transformers.
 
-transformers>=4.40
+transformers>=4.30
 torch>=2.1
 torchvision
 Pillow
-tqdm
-numpy
+tqdm