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import streamlit as st
from langchain.chat_models import ChatOpenAI
from langchain.schema import AIMessage, HumanMessage, SystemMessage
# From here down is all the StreamLit UI.
st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
st.header("Hey, I'm your Chat GPT")
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
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:
answer = load_answer(user_input)
response = answer.content
st.subheader("Answer:")
st.write(response, key=1)
st.write(response, key=2)
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