Create models/image_model.py

models/image_model.py

@@ -0,0 +1,8 @@
+from transformers import pipeline
+
+# Public, stable image classifier (generic). You can swap to a deepfake-specific model later.
+image_model = pipeline(
+    task="image-classification",
+    model="google/vit-base-patch16-224",
+    device=-1  # CPU
+)