Spaces:
Running
Running
import streamlit as st | |
from streamlit_chat import message | |
def initialize_session_state(): | |
if 'history' not in st.session_state: | |
st.session_state['history'] = [] | |
if 'generated' not in st.session_state: | |
st.session_state['generated'] = ["Hello! Saya bisa membantu anda menjawab pertanyaan seputar Jurusan Teknologi Informasi!"] | |
if 'past' not in st.session_state: | |
st.session_state['past'] = ["Hey! π"] | |
if 'data_len' not in st.session_state: | |
st.session_state['data_len'] = 0 | |
if 'vector_store' not in st.session_state: | |
st.session_state['vector_store'] = None | |
def conversation_chat(query, chain, history): | |
result = chain({"question": query, "chat_history": history}) | |
history.append((query, result["answer"])) | |
return result["answer"] | |
def display_chat_history(chain): | |
reply_container = st.container() | |
container = st.container() | |
user_input = st.chat_input(placeholder="Masukkan pertanyaan...") | |
with container: | |
if user_input: | |
with st.spinner('Generating response...'): | |
output = conversation_chat(user_input, chain, st.session_state['history']) | |
st.session_state['past'].append(user_input) | |
st.session_state['generated'].append(output) | |
if st.session_state['generated']: | |
with reply_container: | |
for i in range(len(st.session_state['generated'])): | |
message(st.session_state["past"][i], is_user=True, key=str(i) + '_user', avatar_style="no-avatar") | |
message(st.session_state["generated"][i], key=str(i), avatar_style="no-avatar") | |