Spaces:
Running
Running
import os | |
import wget | |
url_base = "https://huggingface.co/IAHispano/Applio/resolve/main/Resources" | |
pretraineds_v1_list = [ | |
( | |
"pretrained_v1/", | |
[ | |
"D32k.pth", | |
"D40k.pth", | |
"D48k.pth", | |
"G32k.pth", | |
"G40k.pth", | |
"G48k.pth", | |
"f0D32k.pth", | |
"f0D40k.pth", | |
"f0D48k.pth", | |
"f0G32k.pth", | |
"f0G40k.pth", | |
"f0G48k.pth", | |
], | |
), | |
] | |
pretraineds_v2_list = [ | |
( | |
"pretrained_v2/", | |
[ | |
"D32k.pth", | |
"D40k.pth", | |
"D48k.pth", | |
"G32k.pth", | |
"G40k.pth", | |
"G48k.pth", | |
"f0D32k.pth", | |
"f0D40k.pth", | |
"f0D48k.pth", | |
"f0G32k.pth", | |
"f0G40k.pth", | |
"f0G48k.pth", | |
], | |
), | |
] | |
models_list = [ | |
"rmvpe.pt", | |
"fcpe.pt", | |
# "rmvpe.onnx" | |
] | |
embedders_list = [ | |
( | |
"embedders/", | |
[ | |
"hubert_base.pt", | |
"contentvec_base.pt", | |
], | |
), | |
] | |
executables_list = ["ffmpeg.exe", "ffprobe.exe"] | |
folder_mapping_list = { | |
"pretrained_v1/": "rvc/pretraineds/pretrained_v1/", | |
"pretrained_v2/": "rvc/pretraineds/pretrained_v2/", | |
"embedders/": "rvc/embedders/", | |
} | |
def prequisites_download_pipeline(pretraineds_v1, pretraineds_v2, models, exe): | |
def download_files(file_list): | |
for file_name in file_list: | |
destination_path = os.path.join(file_name) | |
url = f"{url_base}/{file_name}" | |
if not os.path.exists(destination_path): | |
os.makedirs(os.path.dirname(destination_path) or ".", exist_ok=True) | |
print(f"\nDownloading {url} to {destination_path}...") | |
wget.download(url, out=destination_path) | |
def download_mapping_files(list): | |
for remote_folder, file_list in list: | |
local_folder = folder_mapping_list.get(remote_folder, "") | |
for file in file_list: | |
destination_path = os.path.join(local_folder, file) | |
url = f"{url_base}/{remote_folder}{file}" | |
if not os.path.exists(destination_path): | |
os.makedirs(os.path.dirname(destination_path) or ".", exist_ok=True) | |
print(f"\nDownloading {url} to {destination_path}...") | |
wget.download(url, out=destination_path) | |
if models == "True": | |
download_files(models_list) | |
download_mapping_files(embedders_list) | |
if exe == "True" and os.name == "nt": | |
download_files(executables_list) | |
if pretraineds_v1 == "True": | |
download_mapping_files(pretraineds_v1_list) | |
if pretraineds_v2 == "True": | |
download_mapping_files(pretraineds_v2_list) | |