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)