import json import pandas as pd from os import environ from time import sleep import datetime import streamlit as st from lib.sessions import SessionManager from lib.private_kb import PrivateKnowledgeBase from langchain.schema import HumanMessage, FunctionMessage from callbacks.arxiv_callbacks import ChatDataAgentCallBackHandler from lib.json_conv import CustomJSONDecoder from lib.helper import ( build_agents, MYSCALE_HOST, MYSCALE_PASSWORD, MYSCALE_PORT, MYSCALE_USER, DEFAULT_SYSTEM_PROMPT, UNSTRUCTURED_API, ) from login import back_to_main environ["OPENAI_API_BASE"] = st.secrets["OPENAI_API_BASE"] TOOL_NAMES = { "langchain_retriever_tool": "Self-querying retriever", "vecsql_retriever_tool": "Vector SQL", } def on_chat_submit(): with st.session_state.next_round.container(): with st.chat_message("user"): st.write(st.session_state.chat_input) with st.chat_message("assistant"): container = st.container() st_callback = ChatDataAgentCallBackHandler( container, collapse_completed_thoughts=False ) ret = st.session_state.agent( {"input": st.session_state.chat_input}, callbacks=[st_callback] ) print(ret) def clear_history(): if "agent" in st.session_state: st.session_state.agent.memory.clear() def back_to_main(): if "user_info" in st.session_state: del st.session_state.user_info if "user_name" in st.session_state: del st.session_state.user_name if "jump_query_ask" in st.session_state: del st.session_state.jump_query_ask if "sel_sess" in st.session_state: del st.session_state.sel_sess if "current_sessions" in st.session_state: del st.session_state.current_sessions def on_session_change_submit(): if "session_manager" in st.session_state and "session_editor" in st.session_state: print(st.session_state.session_editor) try: for elem in st.session_state.session_editor["added_rows"]: if len(elem) > 0 and "system_prompt" in elem and "session_id" in elem: if elem["session_id"] != "" and "?" not in elem["session_id"]: st.session_state.session_manager.add_session( user_id=st.session_state.user_name, session_id=f"{st.session_state.user_name}?{elem['session_id']}", system_prompt=elem["system_prompt"], ) else: raise KeyError( "`session_id` should NOT be neither empty nor contain question marks." ) else: raise KeyError( "You should fill both `session_id` and `system_prompt` to add a column!" ) for elem in st.session_state.session_editor["deleted_rows"]: st.session_state.session_manager.remove_session( session_id=f"{st.session_state.user_name}?{st.session_state.current_sessions[elem]['session_id']}", ) refresh_sessions() except Exception as e: sleep(2) st.error(f"{type(e)}: {str(e)}") finally: st.session_state.session_editor["added_rows"] = [] st.session_state.session_editor["deleted_rows"] = [] refresh_agent() def build_session_manager(): return SessionManager( st.session_state, host=MYSCALE_HOST, port=MYSCALE_PORT, username=MYSCALE_USER, password=MYSCALE_PASSWORD, ) def refresh_sessions(): st.session_state[ "current_sessions" ] = st.session_state.session_manager.list_sessions(st.session_state.user_name) if ( type(st.session_state.current_sessions) is not dict and len(st.session_state.current_sessions) <= 0 ): st.session_state.session_manager.add_session( st.session_state.user_name, f"{st.session_state.user_name}?default", DEFAULT_SYSTEM_PROMPT, ) st.session_state[ "current_sessions" ] = st.session_state.session_manager.list_sessions(st.session_state.user_name) st.session_state["user_files"] = st.session_state.private_kb.list_files( st.session_state.user_name ) st.session_state["user_tools"] = st.session_state.private_kb.list_tools( st.session_state.user_name ) st.session_state["tools_with_users"] = { **st.session_state.tools, **st.session_state.private_kb.as_tools(st.session_state.user_name), } try: dfl_indx = [x["session_id"] for x in st.session_state.current_sessions].index( "default" if "" not in st.session_state else st.session_state.sel_session["session_id"] ) except ValueError: dfl_indx = 0 st.session_state.sel_sess = st.session_state.current_sessions[dfl_indx] def build_kb_as_tool(): if ( "b_tool_name" in st.session_state and "b_tool_desc" in st.session_state and "b_tool_files" in st.session_state and len(st.session_state.b_tool_name) > 0 and len(st.session_state.b_tool_desc) > 0 and len(st.session_state.b_tool_files) > 0 ): st.session_state.private_kb.create_tool( st.session_state.user_name, st.session_state.b_tool_name, st.session_state.b_tool_desc, [f["file_name"] for f in st.session_state.b_tool_files], ) refresh_sessions() else: st.session_state.tool_status.error( "You should fill all fields to build up a tool!" ) sleep(2) def remove_kb(): if "r_tool_names" in st.session_state and len(st.session_state.r_tool_names) > 0: st.session_state.private_kb.remove_tools( st.session_state.user_name, [f["tool_name"] for f in st.session_state.r_tool_names], ) refresh_sessions() else: st.session_state.tool_status.error( "You should specify at least one tool to delete!" ) sleep(2) def refresh_agent(): with st.spinner("Initializing session..."): print( f"??? Changed to ", f"{st.session_state.user_name}?{st.session_state.sel_sess['session_id']}", ) st.session_state["agent"] = build_agents( f"{st.session_state.user_name}?{st.session_state.sel_sess['session_id']}", ["LangChain Self Query Retriever For Wikipedia"] if "selected_tools" not in st.session_state else st.session_state.selected_tools, system_prompt=DEFAULT_SYSTEM_PROMPT if "sel_sess" not in st.session_state else st.session_state.sel_sess["system_prompt"], ) def add_file(): if ( "uploaded_files" not in st.session_state or len(st.session_state.uploaded_files) == 0 ): st.session_state.tool_status.error("Please upload files!", icon="⚠️") sleep(2) return try: st.session_state.tool_status.info("Uploading...") st.session_state.private_kb.add_by_file( st.session_state.user_name, st.session_state.uploaded_files ) refresh_sessions() except ValueError as e: st.session_state.tool_status.error("Failed to upload! " + str(e)) sleep(2) def clear_files(): st.session_state.private_kb.clear(st.session_state.user_name) refresh_sessions() def chat_page(): if "sel_sess" not in st.session_state: st.session_state["sel_sess"] = { "session_id": "default", "system_prompt": DEFAULT_SYSTEM_PROMPT, } if "private_kb" not in st.session_state: st.session_state["private_kb"] = PrivateKnowledgeBase( host=MYSCALE_HOST, port=MYSCALE_PORT, username=MYSCALE_USER, password=MYSCALE_PASSWORD, embedding=st.session_state.embeddings["Wikipedia"], parser_api_key=UNSTRUCTURED_API, ) if "session_manager" not in st.session_state: st.session_state["session_manager"] = build_session_manager() with st.sidebar: with st.expander("Session Management"): if "current_sessions" not in st.session_state: refresh_sessions() st.info( "Here you can set up your session! \n\nYou can **change your prompt** here!", icon="🤖", ) st.info( ( "**Add columns by clicking the empty row**.\n" "And **delete columns by selecting rows with a press on `DEL` Key**" ), icon="💡", ) st.info( "Don't forget to **click `Submit Change` to save your change**!", icon="📒", ) st.data_editor( st.session_state.current_sessions, num_rows="dynamic", key="session_editor", use_container_width=True, ) st.button("Submit Change!", on_click=on_session_change_submit) with st.expander("Session Selection", expanded=True): st.info( "If no session is attach to your account, then we will add a default session to you!", icon="❤️", ) try: dfl_indx = [ x["session_id"] for x in st.session_state.current_sessions ].index( "default" if "" not in st.session_state else st.session_state.sel_session["session_id"] ) except Exception as e: print("*** ", str(e)) dfl_indx = 0 st.selectbox( "Choose a session to chat:", options=st.session_state.current_sessions, index=dfl_indx, key="sel_sess", format_func=lambda x: x["session_id"], on_change=refresh_agent, ) print(st.session_state.sel_sess) with st.expander("Tool Settings", expanded=True): st.info( "We provides you several knowledge base tools for you. We are building more tools!", icon="🔧", ) st.session_state["tool_status"] = st.empty() tab_kb, tab_file = st.tabs( [ "Knowledge Bases", "File Upload", ] ) with tab_kb: st.markdown("#### Build You Own Knowledge") st.multiselect( "Select Files to Build up", st.session_state.user_files, placeholder="You should upload files first", key="b_tool_files", format_func=lambda x: x["file_name"], ) st.text_input( "Tool Name", "get_relevant_documents", key="b_tool_name") st.text_input( "Tool Description", "Searches among user's private files and returns related documents", key="b_tool_desc", ) st.button("Build!", on_click=build_kb_as_tool) st.markdown("### Knowledge Base Selection") if ( "user_tools" in st.session_state and len(st.session_state.user_tools) > 0 ): st.markdown("***User Created Knowledge Bases***") st.dataframe(st.session_state.user_tools) st.multiselect( "Select a Knowledge Base Tool", st.session_state.tools.keys() if "tools_with_users" not in st.session_state else st.session_state.tools_with_users, default=["Wikipedia + Self Querying"], key="selected_tools", on_change=refresh_agent, ) st.markdown("### Delete Knowledge Base") st.multiselect( "Choose Knowledge Base to Remove", st.session_state.user_tools, format_func=lambda x: x["tool_name"], key="r_tool_names", ) st.button("Delete", on_click=remove_kb) with tab_file: st.info( ( "We adopted [Unstructured API](https://unstructured.io/api-key) " "here and we only store the processed texts from your documents. " "For privacy concerns, please refer to " "[our policy issue](https://myscale.com/privacy/)." ), icon="📃", ) st.file_uploader( "Upload files", key="uploaded_files", accept_multiple_files=True ) st.markdown("### Uploaded Files") st.dataframe( st.session_state.private_kb.list_files( st.session_state.user_name), use_container_width=True, ) col_1, col_2 = st.columns(2) with col_1: st.button("Add Files", on_click=add_file) with col_2: st.button("Clear Files and All Tools", on_click=clear_files) st.button("Clear Chat History", on_click=clear_history) st.button("Logout", on_click=back_to_main) if "agent" not in st.session_state: refresh_agent() print("!!! ", st.session_state.agent.memory.chat_memory.session_id) for msg in st.session_state.agent.memory.chat_memory.messages: speaker = "user" if isinstance(msg, HumanMessage) else "assistant" if isinstance(msg, FunctionMessage): with st.chat_message("Knowledge Base", avatar="📖"): st.write( f"*{datetime.datetime.fromtimestamp(msg.additional_kwargs['timestamp']).isoformat()}*" ) st.write("Retrieved from knowledge base:") try: st.dataframe( pd.DataFrame.from_records( json.loads(msg.content, cls=CustomJSONDecoder) ), use_container_width=True, ) except: st.write(msg.content) else: if len(msg.content) > 0: with st.chat_message(speaker): print(type(msg), msg.dict()) st.write( f"*{datetime.datetime.fromtimestamp(msg.additional_kwargs['timestamp']).isoformat()}*" ) st.write(f"{msg.content}") st.session_state["next_round"] = st.empty() st.chat_input("Input Message", on_submit=on_chat_submit, key="chat_input")