Update app.py

app.py

@@ -14,7 +14,7 @@ def run_query(query, chat_history, k, temperature,openai_api_key):
     db = Chroma(persist_directory=persist_directory, embedding_function=OpenAIEmbeddings())  # access db
     retriever = db.as_retriever(search_kwargs={"k": k})  # kwargs determines how many docs it uses
 
-    llm = OpenAI(api_key=openai_api_key, max_tokens=1500, temperature=temperature)  # api key self explanatory. max_tokens provides how long of a response 
+    llm = OpenAI(openai_api_key, max_tokens=1500, temperature=temperature)  # api key self explanatory. max_tokens provides how long of a response 
     # we get from the llm (do note the llm has a cap of 4097.) and temperature provides a scale form 0.0 to 1.0 of how much freedom 
     # the llm should take in its response (how closely it should adhere to docs vs how freely)