Update app.py

app.py

@@ -75,7 +75,7 @@ def predict(text,img):
 
   with torch.no_grad():
       # Encode and normalize the description using CLIP
-      text_encoded = model.encode_text(clip.tokenize(text).to(device))
+      text_encoded = model.encode_text(clip.tokenize([text]).to(device))
       text_encoded /= text_encoded.norm(dim=-1, keepdim=True)
 
   similarity = text_encoded.cpu().numpy() @ image_features.cpu().numpy().T