Spaces:
Sleeping
Sleeping
| import streamlit as st | |
| from streamlit_option_menu import option_menu | |
| from markup import app_intro | |
| import langchain | |
| from query_data import chat_chain | |
| from memory import msgs | |
| def tab1(): | |
| st.header("CIMA Chatbot") | |
| col1, col2 = st.columns([1, 2]) | |
| with col1: | |
| st.image("image.jpg", use_column_width=True) | |
| with col2: | |
| st.markdown(app_intro(), unsafe_allow_html=True) | |
| metadata_list = [] | |
| unique_metadata_list = [] | |
| seen = set() | |
| def tab4(): | |
| st.header("๐ฃ๏ธ Chat with the AI about the ingested documents! ๐") | |
| for i, msg in enumerate(msgs.messages): | |
| name = "user" if i % 2 == 0 else "assistant" | |
| st.chat_message(name).markdown(msg.content) | |
| if user_input := st.chat_input("User Input"): | |
| with st.chat_message("user"): | |
| st.markdown(user_input) | |
| with st.spinner("Generating Response..."): | |
| with st.chat_message("assistant"): | |
| response = chat_chain({"question": user_input}) | |
| answer = response['answer'] | |
| source_documents = response['source_documents'] | |
| for doc in source_documents: | |
| if hasattr(doc, 'metadata'): | |
| metadata = doc.metadata | |
| metadata_list.append(metadata) | |
| for metadata in metadata_list: | |
| metadata_tuple = tuple(metadata.items()) | |
| if metadata_tuple not in seen: | |
| unique_metadata_list.append(metadata) | |
| seen.add(metadata_tuple) | |
| st.write(answer) | |
| st.write(unique_metadata_list) | |
| if st.sidebar.button("Clear Chat History"): | |
| msgs.clear() | |
| def main(): | |
| st.set_page_config(page_title="CIMA Chat", page_icon=":memo:", layout="wide") | |
| tabs = ["Intro", "Chat"] | |
| with st.sidebar: | |
| current_tab = option_menu("Select a Tab", tabs, menu_icon="cast") | |
| tab_functions = { | |
| "Intro": tab1, | |
| "Chat": tab4, | |
| } | |
| if current_tab in tab_functions: | |
| tab_functions[current_tab]() | |
| if __name__ == "__main__": | |
| main() |