import argparse import tempfile import os import subprocess import sys def main(): parser = argparse.ArgumentParser(description='Run YuE model with direct input') parser.add_argument('--genre', type=str, required=True, help='Genre tags for the music') parser.add_argument('--lyrics', type=str, required=True, help='Lyrics for the music') parser.add_argument('--run_n_segments', type=int, default=2, help='Number of segments to process') parser.add_argument('--stage2_batch_size', type=int, default=4, help='Batch size for stage 2') parser.add_argument('--max_new_tokens', type=int, default=3000, help='Maximum number of new tokens') parser.add_argument('--cuda_idx', type=int, default=0, help='CUDA device index') args = parser.parse_args() # Create temporary files for genre and lyrics with tempfile.NamedTemporaryFile(mode='w', delete=False) as genre_file: genre_file.write(args.genre) genre_path = genre_file.name with tempfile.NamedTemporaryFile(mode='w', delete=False) as lyrics_file: lyrics_file.write(args.lyrics) lyrics_path = lyrics_file.name output_dir = '/home/user/app/output' try: # Get the directory where wrapper.py is located current_dir = os.path.dirname(os.path.abspath(__file__)) # Run the inference script subprocess.run([ 'python', os.path.join(current_dir, 'infer.py'), '--stage1_model', 'm-a-p/YuE-s1-7B-anneal-en-cot', '--stage2_model', 'm-a-p/YuE-s2-1B-general', '--genre_txt', genre_path, '--lyrics_txt', lyrics_path, '--run_n_segments', str(args.run_n_segments), '--stage2_batch_size', str(args.stage2_batch_size), '--output_dir', output_dir, '--cuda_idx', str(args.cuda_idx), '--max_new_tokens', str(args.max_new_tokens) ], check=True) print(f"\nOutput directory: {output_dir}") print("Generated files:") for file in os.listdir(output_dir): print(f"- {os.path.join(output_dir, file)}") finally: # Clean up temporary files os.unlink(genre_path) os.unlink(lyrics_path) if __name__ == '__main__': main()