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()