llm_challenge / app.py
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Two column layout
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from openai import OpenAI
import streamlit as st
st.title("HiddenLayer Chat")
client = OpenAI(api_key=st.secrets["OPENAI_API_KEY"])
col1, col2 = st.columns(2)
if "openai_model" not in st.session_state:
st.session_state["openai_model"] = "gpt-3.5-turbo"
if "messages_col_1" not in st.session_state:
st.session_state.messages_col_1 = []
if "messages_col_2" not in st.session_state:
st.session_state.messages_col_2 = []
for message in st.session_state.messages_col_1:
with col1:
with st.chat_message(message["role"]):
st.markdown(message["content"])
for message in st.session_state.messages_col_2:
with col2:
with st.chat_message(message["role"]):
st.markdown(message["content"])
if prompt := st.chat_input("What is up?"):
st.session_state.messages_col_1.append({"role": "user", "content": prompt})
st.session_state.messages_col_2.append({"role": "user", "content": prompt})
with col1:
with st.chat_message("user"):
st.markdown(prompt)
with col2:
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_col_1
],
stream=True,
)
response = st.write_stream(stream)
st.session_state.messages_col_1.append({"role": "assistant", "content": response})
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_col_2
],
stream=True,
)
response = st.write_stream(stream)
st.session_state.messages_col_2.append({"role": "assistant", "content": response})