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import os | |
import gradio as gr | |
from scipy.io.wavfile import write | |
import subprocess | |
import torch | |
import typing as tp | |
from audiocraft.data.audio_utils import convert_audio | |
# Import the necessary MusicGen code here | |
def load_model(): | |
# Load the MusicGen model here | |
def music_gen_and_separation(text, audio): | |
# Perform music generation with the loaded MusicGen model | |
texts = [text] # Use the provided text for music generation | |
melodies = [(audio[1], audio[0])] # Convert audio to melody format for MusicGen | |
# Perform music generation using the loaded MusicGen model | |
generated_music = predict_full(model, texts, melodies, duration, topk, topp, temperature, cfg_coef) | |
# Perform source separation using Demucs | |
# Save the generated music to a temporary file | |
temp_file = "generated_music.wav" | |
write(temp_file, generated_music, 32000) | |
# Run Demucs for source separation | |
command = "python3 -m demucs.separate -n mdx_extra_q -d cpu " + temp_file + " -o out" | |
process = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) | |
print("Demucs script output:", process.stdout.decode()) | |
# Check if files exist before returning | |
files = ["./out/mdx_extra_q/test/vocals.wav", | |
"./out/mdx_extra_q/test/bass.wav", | |
"./out/mdx_extra_q/test/drums.wav", | |
"./out/mdx_extra_q/test/other.wav"] | |
for file in files: | |
if not os.path.isfile(file): | |
print(f"File not found: {file}") | |
else: | |
print(f"File exists: {file}") | |
# Convert the separated audio files to numpy arrays | |
separated_audio = [] | |
for file in files: | |
_, audio = read(file) | |
separated_audio.append(audio) | |
return separated_audio | |
title = "MusicGen with Demucs" | |
description = "Combine MusicGen with Demucs for music generation and source separation." | |
article = "<p>Article content goes here.</p>" | |
input_text = gr.inputs.Textbox(label="Input Text") | |
input_audio = gr.inputs.Audio(label="Input Audio") | |
output_vocals = gr.outputs.Audio(label="Vocals") | |
output_bass = gr.outputs.Audio(label="Bass") | |
output_drums = gr.outputs.Audio(label="Drums") | |
output_other = gr.outputs.Audio(label="Other") | |
gr.Interface( | |
music_gen_and_separation, | |
[input_text, input_audio], | |
[output_vocals, output_bass, output_drums, output_other], | |
title=title, | |
description=description, | |
article=article | |
).launch() |