put the reranker in async function call

app.py

@@ -85,11 +85,11 @@ reranker = FlagEmbeddingReranker(
     model="BAAI/bge-reranker-large",
 )
 
-recursive_query_engine = recursive_index_faiss.as_query_engine(
-    similarity_top_k=15,
-    node_postprocessors=[reranker],
-    verbose=True
-)
+# recursive_query_engine = recursive_index_faiss.as_query_engine(
+#     similarity_top_k=5,
+#     node_postprocessors=[reranker],
+#     verbose=True
+# )
 
 
 # ChatOpenAI Templates
@@ -102,6 +102,16 @@ You are a helpful assistant who always speaks in a pleasant tone! """
 user_template = """ Think through your response step by step."""
 
 #user_query = "Who are the E-VP, Operations - and how old are they?"
+# prompt=system_template + user_query + user_template
+
+async def recursive_fn_call(reranker, system_template, user_template, user_query=None):
+    recursive_query_engine = recursive_index_faiss.as_query_engine(
+    similarity_top_k=5,
+    node_postprocessors=[reranker],
+    verbose=True
+    )
+    response = recursive_query_engine.query(system_template + user_query + user_template)
+    return response
 
 @cl.on_message  # marks a function that should be run each time the chatbot receives a message from a user
 async def main(message: cl.Message):
@@ -109,7 +119,7 @@ async def main(message: cl.Message):
 
     user_query = message.content
     
-    response = await recursive_query_engine.query(system_template + user_query + user_template)
+    response = await recursive_fn_call(reranker, system_template, user_template, user_query=user_query)
     str_resp ="{}".format(response)
     msg = cl.Message(content= str_resp)
     await msg.send()