app.py

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
# ...