Switched to 3.5-turbo; updated db directory

app.py

@@ -18,7 +18,7 @@ from langchain.schema import AIMessage, HumanMessage, SystemMessage
 embeddings = OpenAIEmbeddings()
 
 # Loads database from persisted directory
-db_directory = "chroma_db"
+db_directory = "chroma_db_v2"
 db = Chroma(persist_directory=db_directory, embedding_function=embeddings)
 
 # This is code that retrieves relevant documents based on a similarity search (in this case, it grabs the top 2 relevant documents or chunks)
@@ -30,7 +30,7 @@ with open('system_prompt.txt', 'r') as file:
 openai.api_key = os.getenv("OPENAI_API_KEY")
 
 #chat = ChatOpenAI(model_name="gpt-3.5-turbo",temperature=0) # Faster for experiments
-chat = ChatOpenAI(model_name="gpt-4",temperature=0)
+chat = ChatOpenAI(model_name="gpt-3.5-turbo",temperature=0)
 
 # Make sure we don't exceed estimation of token limit:
 TOKEN_LIMIT = 4096  # GPT-3.5 Turbo token limit