Update app.py

app.py

@@ -4,9 +4,9 @@ from llama_index.llms import OpenAI
 import openai
 from llama_index import SimpleDirectoryReader
 
-st.set_page_config(page_title="Chat with the Streamlit docs, powered by LlamaIndex", page_icon="🦙", layout="centered", initial_sidebar_state="auto", menu_items=None)
-openai.api_key = "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"
-st.title("Chat with the Streamlit docs, powered by LlamaIndex 💬🦙")
+st.set_page_config(page_title="You & AI - Parks", page_icon="🍂", layout="centered", initial_sidebar_state="auto", menu_items=None)
+openai.api_key = "1234"
+st.title("Personalize Your Parks Experience 💬🍂🤖")
 st.info("Check out the full tutorial to build this app in our [blog post](https://blog.streamlit.io/build-a-chatbot-with-custom-data-sources-powered-by-llamaindex/)", icon="📃")
          
 if "messages" not in st.session_state.keys(): # Initialize the chat messages history
@@ -24,7 +24,7 @@ def load_data():
         return index
 
 index = load_data()
-# chat_engine = index.as_chat_engine(chat_mode="condense_question", verbose=True, system_prompt="You are an expert on the Streamlit Python library and your job is to answer technical questions. Assume that all questions are related to the Streamlit Python library. Keep your answers technical and based on facts – do not hallucinate features.")
+#chat_engine = index.as_chat_engine(chat_mode="condense_question", verbose=True, system_prompt="You are an expert on the Streamlit Python library and your job is to answer technical questions. Assume that all questions are related to the Streamlit Python library. Keep your answers technical and based on facts – do not hallucinate features.")
 chat_engine = index.as_chat_engine(chat_mode="condense_question", verbose=True)
 
 if prompt := st.chat_input("Your question"): # Prompt for user input and save to chat history