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import logging
import sys
import streamlit as st
from dotenv import load_dotenv
from xpipe_wiki.manager_factory import XPipeRobotManagerFactory, XPipeRobotRevision
logging.basicConfig(
stream=sys.stdout, level=logging.INFO
) # logging.DEBUG for more verbose output
# logging.getLogger().addHandler(logging.StreamHandler(stream=sys.stdout))
# # Sidebar contents
with st.sidebar:
st.title("🤗💬 LLM Chat App")
st.markdown(
"""
## About
This app is an LLM-powered chatbot built using:
- [Streamlit](https://streamlit.io/)
- [LangChain](https://python.langchain.com/)
- [X-Pipe](https://github.com/ctripcorp/x-pipe)
"""
)
# add_vertical_space(5)
st.write("Made by Nick")
def main() -> None:
st.header("X-Pipe Wiki 机器人 💬")
robot_manager = XPipeRobotManagerFactory.get_or_create(
XPipeRobotRevision.SIMPLE_OPENAI_VERSION_0
)
robot = robot_manager.get_robot()
query = st.text_input("X-Pipe Wiki 问题:")
if query:
response = robot.ask(question=query)
st.write(response)
if __name__ == "__main__":
load_dotenv()
main()
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