Update app.py

app.py

@@ -57,16 +57,16 @@ def init_vector_search() -> MongoDBAtlasVectorSearch:
         api_key=HF_TOKEN,
         model_name="sentence-transformers/all-mpnet-base-v2"
     )
+    try:
+        test_vector = embedding_model.embed_query("test query")
+        print("✅ Embedding model test vector:", test_vector[:5])
+    except Exception as e:
+        st.error(f"❌ Failed to embed test query: {e}")
+        raise
     return MongoDBAtlasVectorSearch.from_connection_string(
         connection_string=MONGO_URI,
         namespace=f"{db_name}.{collection_name}",
         embedding=embedding_model,
-        try:
-            test_vector = embedding_model.embed_query("test query")
-            print("✅ Embedding model test vector:", test_vector[:5])
-        except Exception as e:
-            st.error(f"❌ Failed to embed test query: {e}")
-            raise
         index_name=index_name,
     )