Spaces:
Running
Running
File size: 1,045 Bytes
fcf3944 9af62f4 fcf3944 d3697c3 fcf3944 96afccc fcf3944 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
import streamlit as st
from langchain.chat_models import ChatOpenAI
from langchain.schema import (
AIMessage,
HumanMessage,
SystemMessage
)
#StreamLit UI
st.set_page_config(page_title="LangChain Demo", page_icon=":robot:")
st.header("MHRV Chatbot")
if "sessionMessages" not in st.session_state:
st.session_state.sessionMessages = [
SystemMessage(content="You are customer support chatbot from a website.")
]
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("Answer:")
st.write(response,key= 1)
|