yue-jobs / wrapper.py
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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()