| import streamlit as st | |
| st.title("Talkshow") | |
| col1, col2 = st.columns([1, 2]) | |
| with col1: | |
| st.write("Upload a .mp3") | |
| uploaded_file = st.file_uploader("Upload", type=["mp3"]) | |
| with col2: | |
| st.write("Demo .gif") | |
| uploaded_gif = st.file_uploader("Upload", type=["gif"]) | |
| st.write("Upload a .wav") | |
| uploaded_wav = st.file_uploader("Upload", type=["wav"]) | |
| # Add your ML model code here | |
| # ... | |
| # Display results or predictions | |
| # ... |