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""" | |
Custom Langchain tool to ask human | |
""" | |
import time | |
import streamlit as st | |
from langchain.tools.base import BaseTool | |
class CustomAskHumanTool(BaseTool): | |
"""Tool that asks user for input.""" | |
name = "AskHuman" | |
description = """Use this tool if you don't find a specific answer using KendraRetrievalTool.\ | |
Ask the human to clarify the question or provide the missing information.\ | |
The input should be a question for the human.""" | |
def _run( | |
self, | |
query: str, | |
run_manager=None, | |
) -> str: | |
if "user_answer" not in st.session_state: | |
answer_container = st.chat_message("assistant", avatar="π¦") | |
answer_container.write(query) | |
answer = st.text_input("Enter your answer", key="user_answer") | |
while answer == "": | |
time.sleep(1) | |
return st.session_state["user_answer"] | |