Update app.py

app.py

@@ -19,7 +19,6 @@ from langchain.schema import (
 )
 
 
-
 st.set_page_config(page_title="CFA Level 1", page_icon="📖")
 
 #Load API Key
@@ -88,8 +87,7 @@ def load_vectorstore(_embeddings):
 def load_prompt():
     system_template="""You are an expert in finance, economics, investing, ethics, derivatives and markets. 
     Use the following pieces of context to answer the users question. If you don't know the answer, 
-    just say that you don't know, don't try to make up an answer. Provide a source reference.
-    ALWAYS return a "sources" part in your answer.
+    just say that you don't know, don't try to make up an answer. Provide a source reference. ALWAYS return a "sources" part in your answer.
     The "sources" part should be a reference to the source of the documents from which you got your answer. 
 
     Remember to only use the given context to answer the question, very important.
@@ -116,20 +114,20 @@ def load_prompt():
 @st.experimental_singleton(show_spinner=False)
 def load_chain():
     llm = ChatOpenAI(temperature=0)
+    cfa_db = load_vectorstore(embeddings)
 
     qa = ChatVectorDBChain.from_llm(llm, 
-                                    load_vectorstore(embeddings),
+                                    cfa_db,
                                     qa_prompt=load_prompt(),
                                     return_source_documents=True)
     
     return qa
 
+chat_history = []
 
 def get_answer(question):
     '''Generate an answer from the chain'''
 
-    chat_history = []
-
     chain = load_chain()
     result = chain({"question": question, "chat_history": chat_history})