Update app.py

app.py

@@ -88,13 +88,17 @@ async def init():
     embedder = CacheBackedEmbeddings.from_bytes_store(core_embeddings_model, store, namespace=core_embeddings_model.model)
 
     # set up FAISS vector store for csv
-    barbie_csv_faiss_retriever = await cl.make_async(FAISS.from_documents)(chunked_barbie_csv_docs, embedder) #.as_retriever()
-    opp_csv_faiss_retriever = await cl.make_async(FAISS.from_documents)(chunked_opp_csv_docs, embedder) #.as_retriever()
+    barbie_csv_faiss_async = await cl.make_async(FAISS.from_documents)(chunked_barbie_csv_docs, embedder)
+    barbie_csv_faiss_retriever = barbie_csv_faiss_async.as_retriever()
+    opp_csv_faiss_async = await cl.make_async(FAISS.from_documents)(chunked_opp_csv_docs, embedder)
+    opp_csv_faiss_retriever = opp_csv_faiss_async.as_retriever()
     
     # set up BM25 retriever
-    barbie_wikipedia_bm25_retriever = await cl.make_async(BM25Retriever.from_documents)(chunked_barbie_wikipedia_docs)
+    barbie_wikipedia_bm25_async = await cl.make_async(BM25Retriever.from_documents)(chunked_barbie_wikipedia_docs)
+    barbie_wikipedia_bm25_retriever = barbie_wikipedia_bm25_async.as_retriever()
     barbie_wikipedia_bm25_retriever.k = 1
-    opp_wikipedia_bm25_retriever = await cl.make_async(BM25Retriever.from_documents)(chunked_opp_wikipedia_docs)
+    opp_wikipedia_bm25_async = await cl.make_async(BM25Retriever.from_documents)(chunked_opp_wikipedia_docs)
+    opp_wikipedia_bm25_retriever = opp_wikipedia_bm25_async.as_retriever()
     opp_wikipedia_bm25_retriever.k = 1
     
     # set up FAISS vector store for Wiki