app.py

import streamlit as st
import os
import tempfile
import subprocess

# Set Streamlit app title
st.title("Audio Processing App")

# Function to process the audio file
def separate_audio(audio_path):

    print(f"{audio_path=}")
    head, tail = os.path.split(audio_path)

    gradio_temp_path = head
    audio_filename = tail.split('.')[0]
    print(f"{gradio_temp_path=}")
    print(f"{audio_filename=}")
    
    # command = f"spleeter separate -o {gradio_temp_path} -p spleeter:2stems {audio_path}"
    # command = f"ls {gradio_temp_path}"
    command = f"cp {audio_path} output/test.wav"
    command = command.split()
    print(f"{command=}")

    result = subprocess.run(command)
    print(result)
    
    print("--------")
    accompaniment_path = f"{gradio_temp_path}/{audio_filename}/accompaniment.wav"
    vocals_path = f"{gradio_temp_path}/{audio_filename}/vocals.wav"
    print(f"{accompaniment_path=}")
    print(os.path.exists(accompaniment_path))
    print(f"{vocals_path=}")
    print(os.path.exists(vocals_path))

    return vocals_path, accompaniment_path

# Streamlit app content
st.write("Upload an audio file (.wav)")

uploaded_file = st.file_uploader("Choose a file", type=["wav","mp3"])

if uploaded_file is not None:

    # Save the uploaded file to a temporary location
    with tempfile.NamedTemporaryFile(delete=False) as temp_file:
        temp_file.write(uploaded_file.read())
        temp_file_path = temp_file.name
    
    # Process the uploaded audio file
    vocals_path, accompaniment_path = separate_audio(temp_file_path)

    # Display the output files for download
    st.write("Output Files:")
    st.audio(vocals_path, format="audio/wav", start_time=0)
    st.audio(accompaniment_path, format="audio/wav", start_time=0)