Update app.py

app.py

@@ -10,6 +10,8 @@ model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms(
 tokenizer = open_clip.get_tokenizer('hf-hub:Marqo/marqo-fashionSigLIP')
 
 def predict(inp):
+    image = preprocess_val(inp).unsqueeze(0)
+
     # catgs = [
     #   "Shirts",
     #   "SetShirtsPants",
@@ -34,7 +36,6 @@ def predict(inp):
     #   "OralCare"
     # ]
     # text = tokenizer(catgs)
-    # image = preprocess_val(inp).unsqueeze(0)
 
     # with torch.no_grad(), torch.cuda.amp.autocast():
     #     image_features = model.encode_image(image)