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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="⚠️") | |
| st.caption("A Project done by Group 28") | |
| # 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.lower() 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 |