improvements to sync strat

app.py

@@ -10,7 +10,7 @@ import arxiv
 import pinecone
 from langchain.embeddings.openai import OpenAIEmbeddings
 from langchain.embeddings import CacheBackedEmbeddings
-from langchain.storage import LocalFileStore
+from langchain.storage import LocalFileStore, InMemoryStore
 from utils.store import index_documents, search_and_index
 from utils.chain import create_chain
 from langchain.vectorstores import Pinecone
@@ -46,7 +46,7 @@ async def start_chat():
     ).send()
 
     # create an embedder through a cache interface (locally) (on start)
-    store = LocalFileStore("./cache/")
+    store = InMemoryStore()
 
     core_embeddings_model = OpenAIEmbeddings(
         api_key=os.environ['OPENAI_API_KEY']
@@ -85,6 +85,7 @@ async def start_chat():
     langchain.llm_cache = InMemoryCache()
     
     # log data in WaB (on start)
+    os.environ["WANDB_MODE"] = "disabled"
     os.environ["LANGCHAIN_WANDB_TRACING"] = "true"
 
     # setup memory
@@ -101,7 +102,7 @@ async def start_chat():
     cl.user_session.set("settings", settings)
     cl.user_session.set("first_run", False)
 
-
+@cl.on_settings_update
 @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):
     settings = cl.user_session.get("settings")