Update app.py

app.py

@@ -35,7 +35,7 @@ def compute_embeddings(query):
     with torch.no_grad():
         return text_encoder(**tokenizer(query, return_tensors='pt')).pooler_output
         
-st.cache(show_spinner=False)        
+@st.cache(show_spinner=False)        
 def image_search(query, top_k=8):
     text_embedding = compute_embeddings(query)
     values, indices = torch.cosine_similarity(text_embedding, image_embeddings).sort(descending=True)