Update app.py

app.py

@@ -101,7 +101,13 @@ for message in st.session_state.messages:
     with st.chat_message(message["role"]):
         st.markdown(message["content"])
 
-st.sidebar.markdown("""This is an app to help you navigate the website of YSA""")
+st.sidebar.markdown(
+    r"""## Instructions:
+    
+    This is an app to help you navigate the website of YSA. The created the RAG-ready data [here](https://huggingface.co/datasets/eagle0504/youthless-homeless-shelter-web-scrape-dataset-qa-formatted) which consists of questions and answers that help the chatbot.
+
+    Once entered a question, the system will search for relevant questions in the database and then produce an answer based on the context answers in the database with a distance score. The distance score represents how similar the user question is comparing with the question in the database. The smaller the distance score the more similar / relevant the database is at producing similar context. For hallucination cases, a viable strategy is to collect user preferences and update the database.
+""")
 
 clear_button = st.sidebar.button("Clear Conversation", key="clear")