app.py

import streamlit as st
from streamlit.logger import get_logger

st.set_page_config(
        page_title="Hello",
        page_icon="👋",
    )

LOGGER = get_logger(__name__)



with st.sidebar:
    messages = st.container(height=300)
    if prompt := st.chat_input("Say something"):
        messages.chat_message("user").write(prompt)
        messages.chat_message("assistant").write(f"Echo: {prompt}")

    
    st.write("# Welcome to Streamlit! 👋")

    st.sidebar.success("Select a demo above.")

    st.markdown(
        """
        Streamlit is an open-source app framework built specifically for
        Machine Learning and Data Science projects.
        **👈 Select a demo from the sidebar** to see some examples
        of what Streamlit can do!
        ### Want to learn more?
        - Check out [streamlit.io](https://streamlit.io)
        - Jump into our [documentation](https://docs.streamlit.io)
        - Ask a question in our [community
          forums](https://discuss.streamlit.io)
        ### See more complex demos
        - Use a neural net to [analyze the Udacity Self-driving Car Image
          Dataset](https://github.com/streamlit/demo-self-driving)
        - Explore a [New York City rideshare dataset](https://github.com/streamlit/demo-uber-nyc-pickups)
    """
    )
    run()