app.py

import streamlit as st

st.title("⚖️ Legal Assistant (WIP)")

# 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.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": m["role"], "content": m["content"]}
        #         for m in st.session_state.messages
        #     ],
        #     stream=True,
        # )
        # response = st.write_stream(stream)
        st.write(prompt)
        response = prompt
    st.session_state.messages.append(
        {"role": "assistant", "content": response})