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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}) | |