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"""Python file to serve as the frontend"""
import streamlit as st
from streamlit_chat import message
from langchain.chains import ConversationChain
from langchain.llms import OpenAI
def load_chain():
"""Logic for loading the chain you want to use should go here."""
llm = OpenAI(temperature=0)
chain = ConversationChain(llm=llm)
return chain
chain = load_chain()
# From here down is all the StreamLit UI.
st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
st.header("LangChain Demo")
if "generated" not in st.session_state:
st.session_state["generated"] = []
if "past" not in st.session_state:
st.session_state["past"] = []
def get_text():
input_text = st.text_input("You: ", "Hello, how are you?", key="input")
return input_text
user_input = get_text()
if user_input:
output = chain.run(input=user_input)
st.session_state.past.append(user_input)
st.session_state.generated.append(output)
if st.session_state["generated"]:
for i in range(len(st.session_state["generated"]) - 1, -1, -1):
message(st.session_state["generated"][i], key=str(i))
message(st.session_state["past"][i], is_user=True, key=str(i) + "_user") |