Update app.py

app.py

@@ -10,7 +10,6 @@ image_embeddings = torch.load('image_embeddings.pt')
 image_links = np.load('image_links (1).npy', allow_pickle=True)
 
 
-@st.experimental_memo
 def image_search(query, top_k=10):
     with torch.no_grad():
         text_embedding = text_encoder(**text_tokenizer(query, return_tensors='pt')).pooler_output