Spaces:

aiXpert
/

chat

Runtime error

chat / st_Chatbot_OpenAI.py

5316f23 over 2 years ago

1.32 kB

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"

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# Display chat messages from history on app rerun
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# React to user input
if prompt := st.chat_input("What is up?"):
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": prompt})
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(prompt)

    # Display assistant response in chat message container
    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)
    # Add assistant response to chat history
    st.session_state.messages.append({"role": "assistant", "content": response})

	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"

	# Initialize chat history
	if "messages" not in st.session_state:
	st.session_state.messages = []

	# Display chat messages from history on app rerun
	for message in st.session_state.messages:
	with st.chat_message(message["role"]):
	st.markdown(message["content"])

	# React to user input
	if prompt := st.chat_input("What is up?"):
	# Add user message to chat history
	st.session_state.messages.append({"role": "user", "content": prompt})
	# Display user message in chat message container
	with st.chat_message("user"):
	st.markdown(prompt)

	# Display assistant response in chat message container
	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)
	# Add assistant response to chat history
	st.session_state.messages.append({"role": "assistant", "content": response})