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import streamlit as st | |
from langchain.chat_models import ChatOpenAI | |
from langchain.schema import AIMessage, HumanMessage, SystemMessage | |
#streamlit UI code | |
st.set_page_config(page_title="Demo Chat App", page_icon=":robot:") | |
st.header("This is my simple chat application, pls try..") | |
if "sessionMessages" not in st.session_state: | |
st.session_state.sessionMessages = [ | |
SystemMessage(content="You are a helpful assistant.") | |
] | |
def load_answer(question): | |
st.session_state.sessionMessages.append(HumanMessage(content=question)) | |
assistant_answer = chat(st.session_state.sessionMessages) | |
st.session_state.sessionMessages.append(AIMessage(content=assistant_answer.content)) | |
return assistant_answer.content | |
def get_text(): | |
input_text = st.text_input("You:", key=input) | |
return input_text | |
chat = ChatOpenAI(temperature=0) | |
user_input = get_text() | |
submit = st.button('Generate') | |
if submit: | |
response = load_answer(user_input) | |
st.subheader("AI Assistant:") | |
st.write(response, key=1) | |