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Runtime error
File size: 2,181 Bytes
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import urllib.request
from pathlib import Path
from threading import Thread
from urllib.error import HTTPError
from tqdm import tqdm
default_models = {
"encoder": ("https://drive.google.com/uc?export=download&id=1q8mEGwCkFy23KZsinbuvdKAQLqNKbYf1", 17090379),
#"synthesizer": ("https://drive.google.com/u/0/uc?id=1EqFMIbvxffxtjiVrtykroF6_mUh-5Z3s&export=download&confirm=t", 370554559),
"synthesizer": ("https://sourceforge.net/projects/encoders/files/synthesizer.pt/download", 370554559),
"vocoder": ("https://drive.google.com/uc?export=download&id=1cf2NO6FtI0jDuy8AV3Xgn6leO6dHjIgu", 53845290),
}
class DownloadProgressBar(tqdm):
def update_to(self, b=1, bsize=1, tsize=None):
if tsize is not None:
self.total = tsize
self.update(b * bsize - self.n)
def download(url: str, target: Path, bar_pos=0):
# Ensure the directory exists
target.parent.mkdir(exist_ok=True, parents=True)
desc = f"Downloading {target.name}"
with DownloadProgressBar(unit="B", unit_scale=True, miniters=1, desc=desc, position=bar_pos, leave=False) as t:
try:
urllib.request.urlretrieve(url, filename=target, reporthook=t.update_to)
except HTTPError:
return
def ensure_default_models(models_dir: Path):
# Define download tasks
jobs = []
for model_name, (url, size) in default_models.items():
target_path = models_dir / "default" / f"{model_name}.pt"
if target_path.exists():
if target_path.stat().st_size != size:
print(f"File {target_path} is not of expected size, redownloading...")
else:
continue
thread = Thread(target=download, args=(url, target_path, len(jobs)))
thread.start()
jobs.append((thread, target_path, size))
# Run and join threads
for thread, target_path, size in jobs:
thread.join()
assert target_path.exists() and target_path.stat().st_size == size, \
f"Download for {target_path.name} failed. You may download models manually instead.\n" \
f"https://drive.google.com/drive/folders/1fU6umc5uQAVR2udZdHX-lDgXYzTyqG_j"
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