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Configuration error
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from pathlib import Path
import os, tempfile
import numpy as np
import soundfile as sf
import librosa
import torch
import gc
from audio_separator.separator import Separator
def get_vocals(src_path: str, dst_path: str, min_seconds: float = 8) -> str:
"""
If the source audio is shorter than `min_seconds`, pad with trailing silence
in a temporary file, then run separation and save only the vocals to dst_path.
Returns the full path to the vocals file.
"""
default_device = torch.get_default_device()
torch.set_default_device('cpu')
dst = Path(dst_path)
dst.parent.mkdir(parents=True, exist_ok=True)
# Quick duration check
duration = librosa.get_duration(path=src_path)
use_path = src_path
temp_path = None
try:
if duration < min_seconds:
# Load (resample) and pad in memory
y, sr = librosa.load(src_path, sr=None, mono=False)
if y.ndim == 1: # ensure shape (channels, samples)
y = y[np.newaxis, :]
target_len = int(min_seconds * sr)
pad = max(0, target_len - y.shape[1])
if pad:
y = np.pad(y, ((0, 0), (0, pad)), mode="constant")
# Write a temp WAV for the separator
fd, temp_path = tempfile.mkstemp(suffix=".wav")
os.close(fd)
sf.write(temp_path, y.T, sr) # soundfile expects (frames, channels)
use_path = temp_path
# Run separation: emit only the vocals, with your exact filename
sep = Separator(
output_dir=str(dst.parent),
output_format=(dst.suffix.lstrip(".") or "wav"),
output_single_stem="Vocals",
model_file_dir="ckpts/roformer/" #model_bs_roformer_ep_317_sdr_12.9755.ckpt"
)
sep.load_model()
out_files = sep.separate(use_path, {"Vocals": dst.stem})
out = Path(out_files[0])
return str(out if out.is_absolute() else (dst.parent / out))
finally:
if temp_path and os.path.exists(temp_path):
os.remove(temp_path)
torch.cuda.empty_cache()
gc.collect()
torch.set_default_device(default_device)
# Example:
# final = extract_vocals("in/clip.mp3", "out/vocals.wav")
# print(final)
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