create a streamlit application with a home page, an "example", a "model analysis" and a "credits" pages searchable in a lateral slidebar. In the home page, make an uploadable .mp3 or .wav archive button. After a file is inputted, sent it to a pytorch model
To upload files, please first save the app
import streamlit as st
import os
# Home Page
if st.sidebar.button('Home'):
st.title("Audio Upload")
uploaded_file = st.file_uploader("Choose an .mp3 or .wav file", type=["mp3", "wav"])
if uploaded_file is not None:
# Save the uploaded file to a temporary directory
with open(os.path.join("tempDir", uploaded_file.name), "wb") as f:
f.write(uploaded_file.getbuffer())
st.success("File uploaded successfully!")
# Call your PyTorch model here with the uploaded file
# Example Page
elif st.sidebar.button('Example'):
st.title("Example Page")
st.write("This is an example page.")
# Model Analysis Page
elif st.sidebar.button('Model Analysis'):
st.title("Model Analysis")
st.write("This page can be used for model analysis.")
# Credits Page
elif st.sidebar.button('Credits'):
st.title("Credits")
st.write("This application was created by [Your Name].")
Hi! I can help you with any questions about Streamlit and Python. What would you like to know?