| | import streamlit as st |
| | from openai import OpenAI |
| | client = OpenAI() |
| |
|
| | st.title("ChatGPT-like Chat") |
| | if "openai_model" not in st.session_state: |
| | st.session_state["openai_model"] = "gpt-3.5-turbo-0125" |
| |
|
| | |
| | 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.session_state.messages.append({"role": "assistant", "content": response}) |