from openai import OpenAI
import streamlit as st


st.write("version 1.0.0")

st.markdown('''    
Hey there, I wrote a book titled "**:violet[Hands-On Retrieval-Augmented Generation]**," which includes this interactive example. If you\'re interested in exploring more practical applications of Retrieval-Augmented Generation, be sure to [check it out](https://retrieval-augmented-generation.com)!
''')

st.header('Conversational Agent', divider='rainbow')

client = OpenAI(api_key=st.secrets["OPENAI_API_KEY"])

if "openai_model" not in st.session_state:
    st.session_state["openai_model"] = "gpt-3.5-turbo"

if "messages" not in st.session_state:
    st.session_state.messages = []

for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

if prompt := st.chat_input("What is up?"):
    st.session_state.messages = []
    st.session_state.messages.append({"role": "user", "content": prompt})
    with st.chat_message("user"):
        st.markdown(prompt)

    with st.chat_message("assistant"):
        stream = client.chat.completions.create(
            model=st.session_state["openai_model"],
            messages=[{"role": "user", "content": prompt}],
            stream=True,
        )
        response = st.write_stream(stream)
    st.session_state.messages.append({"role": "assistant", "content": response})