updated cou

app.py

@@ -58,7 +58,13 @@ def load_embeddings():
     return ckpt["ids"], ckpt["embeddings"]
 
 ids_list, emb_tensor = load_embeddings()
-
+@st.cache_resource
+def get_st_model():
+    # force CPU so we avoid the meta-tensor copy error
+    return SentenceTransformer(
+        "sentence-transformers/all-MiniLM-L6-v2",
+        device="cpu",
+    )
 # ────────────────────────────────────────────────────────────────────────
 # 3)  Streamlit UI
 # ────────────────────────────────────────────────────────────────────────
@@ -100,6 +106,13 @@ if search_clicked:
     with st.spinner("Embedding & searching…"):
         model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
         q_vec = model.encode(sem_query.strip(), convert_to_tensor=True).cpu()
+        
+         model = get_st_model()                         # ← cached instance
+        q_vec = model.encode(
+            sem_query.strip(),
+            convert_to_tensor=True,
+            device="cpu"
+        ).cpu()
 
         sims = util.cos_sim(q_vec, emb_tensor)[0]
         top_vals, top_idx = torch.topk(sims, k=50)   # get 50 candidates