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import streamlit as st
from node import LibrarySystem
from helper import response_generator
from helper import send_message
library = LibrarySystem()
# Streamed response emulator
st.set_page_config(
page_title="🤗💬 Ana",
layout="wide"
)
st.warning('This is a prototype of a chatbot for Group 28 main algorithm. It is still under development even though the main logic has been completed and run inside terminal', icon="⚠️")
# Initialize chat history
if "messages" not in st.session_state:
st.session_state.messages = [{"role": "assistant", "content": "Let's start chatting! 👇. You can start with hello or hi"}]
if 'app_state' not in st.session_state:
st.session_state['app_state'] = 'initial'
if 'book' not in st.session_state:
st.session_state['book'] = None
if 'user' not in st.session_state:
st.session_state['user'] = ''
with st.sidebar:
st.title('🤗💬 Ana')
st.markdown('📖 Ana is a library management and book recommendation app designed to enhance accessibility and convenience.')
st.markdown('Convenient Access – Users can interact with Ana anytime, anywhere, to access library services from their comfort zones.')
st.markdown('Smart Book Borrowing – Users can reserve books and pick them up at their convenience, eliminating scheduling conflicts.')
st.markdown('Personalized Recommendations – The system suggests books based on user preferences, enhancing the reading experience.')
# Display chat messages from history on app rerun
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
# Accept user input
if prompt := st.chat_input("What is up?"):
#initialize library system object
# Add user message to chat history
st.session_state.messages.append({"role": "user", "content": prompt})
# Display user message in chat message container
with st.chat_message("user"):
st.markdown(prompt)
# Display assistant response in chat message container
with st.chat_message("assistant"):
# with st.spinner("Thinking..."):
if prompt in ["hi", "hello", "hey", "/start"]:
data = library.startMessage()
elif st.session_state['app_state'] == 'welcome' :
data = library.login_or_register(prompt)
elif st.session_state['app_state'] == 'login_search':
data = library.loginSearch(prompt)
elif st.session_state['app_state'] == 'waiting_for_name' or st.session_state['app_state'] == 'waiting_for_id' :
data = library.handle_registration_input(prompt)
elif st.session_state['app_state'] == 'default':
data = library.main_menu(prompt)
elif st.session_state['app_state'] == 'search':
data = library.fetchbook(prompt)
elif st.session_state['app_state'] == 'borrow':
data = library.hasborrowed(st.session_state['book'], prompt)
elif st.session_state['app_state'] == 'borrowing':
library.borrow_book()
else:
send_message("Invalid input. Please try again.")
# Add assistant response to chat history |