Update app.py

app.py

@@ -162,14 +162,10 @@ async def run_hackrx(req: RunRequest):
     if not chunks:
         return JSONResponse({"error": "No documents could be processed."}, status_code=400)
     start_time2 = time.time()
-    vectorstore = FAISS.from_documents(
+    vectorstore = await FAISS.afrom_documents(
         documents=chunks, 
         embedding=ml_models["embedder"]
     )
-    # vectorstore = await FAISS.afrom_documents(
-    #     documents=chunks, 
-    #     embedding=ml_models["embedder"]
-    # )
     end_time2 = time.time() - start_time2
     print(f"vector done: {end_time2}")
     # dense_retriever = vectorstore.as_retriever(search_type="mmr",search_kwargs={"k": 8})