Comments (2)
I also had the same query , is there any update regarding this
from llm-examples.
Yes, it's possible. You can use the native Chat UI instead of installing streamlit_chat custom component. Here's an example:
import openai
import streamlit as st
# Initialize the chat messages history
openai.api_key = st.secrets.OPENAI_API_KEY
if "messages" not in st.session_state:
st.session_state.messages = [{"role": "assistant", "content": "How can I help you?"}]
# Prompt for user input and save
if prompt := st.chat_input():
st.session_state.messages.append({"role": "user", "content": prompt})
# display the existing chat messages
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.write(message["content"])
# If last message is not from assistant, we need to generate a new response
if st.session_state.messages[-1]["role"] != "assistant":
with st.chat_message("assistant"):
response = ""
resp_container = st.empty()
for delta in openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=st.session_state.messages,
stream=True,
):
response += delta.choices[0].delta.get("content", "")
resp_container.markdown(response)
st.session_state.messages.append({"role": "assistant", "content": response})
Hope it helps!
from llm-examples.
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from llm-examples.