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| import streamlit as st | |
| from langchain_core.messages import HumanMessage,AIMessage,ToolMessage | |
| import json | |
| ## display change when chatbot with tools is added | |
| class DisplayResultStreamlit: | |
| def __init__(self,usecase,graph,user_message): | |
| self.usecase= usecase | |
| self.graph = graph | |
| self.user_message = user_message | |
| def display_result_on_ui(self): | |
| usecase= self.usecase | |
| graph = self.graph | |
| user_message = self.user_message | |
| if usecase =="Basic Chatbot": | |
| for event in graph.stream({'messages':("user",user_message)}): | |
| print(event.values()) | |
| for value in event.values(): | |
| print(value['messages']) | |
| with st.chat_message("user"): | |
| st.write(user_message) | |
| with st.chat_message("assistant"): | |
| st.write(value["messages"].content) | |
| elif usecase=="Chatbot with Tool": | |
| # Prepare state and invoke the graph | |
| initial_state = {"messages": [user_message]} | |
| res = graph.invoke(initial_state) | |
| for message in res['messages']: | |
| if type(message) == HumanMessage: | |
| with st.chat_message("user"): | |
| st.write(message.content) | |
| elif type(message)==ToolMessage: | |
| with st.chat_message("ai"): | |
| st.write("Tool Call Start") | |
| st.write(message.content) | |
| st.write("Tool Call End") | |
| elif type(message)==AIMessage and message.content: | |
| with st.chat_message("assistant"): | |
| st.write(message.content) | |