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()