Update app.py

app.py

@@ -7,18 +7,19 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 model, preprocess = clip.load("ViT-B/32", device=device)
 
 def clip(image, text):
-    
-    image = preprocess(image).unsqueeze(0).to(device)
-    text = clip.tokenize([text]).to(device)
 
-    with torch.no_grad():
-        image_features = model.encode_image(image)
-        text_features = model.encode_text(text)
+    return "UWU"
+    # image = preprocess(image).unsqueeze(0).to(device)
+    # text = clip.tokenize([text]).to(device)
+
+    # with torch.no_grad():
+    #     image_features = model.encode_image(image)
+    #     text_features = model.encode_text(text)
         
-        logits_per_image, logits_per_text = model(image, text)
-        probs = logits_per_image.softmax(dim=-1).cpu().numpy()
+    #     logits_per_image, logits_per_text = model(image, text)
+    #     probs = logits_per_image.softmax(dim=-1).cpu().numpy()
 
-    return probs[0]
+    # return probs[0]
 
 demo = gr.Interface(fn=clip, inputs=["text", "image"], outputs="text")
 demo.launch()