import streamlit as st
import os
import pandas as pd
import re
from time import time
import warnings
warnings.filterwarnings("ignore", category=FutureWarning)

# Set the page configuration
st.set_page_config(
    page_title="Intent Detection",
    page_icon="🤖",
    layout="centered",
    initial_sidebar_state="expanded",
)

# Set the sidebar
st.sidebar.title("Intent Detection ")
st.sidebar.title("🤖 🛠️ 🕹️")

# Add a footer
st.markdown(
    """
    <style>
    .footer {
        position: fixed;
        left: 0;
        bottom: 0;
        width: 100%;
        background-color: #f0f0f0;
        color: black;
        text-align: center;
        padding: 10px;
        font-size: 12px;
    }
    </style>
    """,
    unsafe_allow_html=True,
)

st.markdown(
    """
    <div class="footer">
    <p>© 2024 IBM. All rights reserved.</p>
    </div>
    """,
    unsafe_allow_html=True,
)

# Title of the app
st.title("Intent Detection Flow")

# Select the trained model from left page
st.header("Selectează modelul din meniul din stanga 👈")

st.stop()