Spaces:
Running
Running
File size: 5,607 Bytes
4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 8226d13 4de1fc0 6159823 4de1fc0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 |
import os
import shutil
import urllib.request
import zipfile
import gdown
import requests
import gradio as gr
from mega import Mega
BASE_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
rvc_models_dir = os.path.join(BASE_DIR, 'rvc_models')
def ignore_files(models_dir):
models_list = os.listdir(models_dir)
items_to_remove = ['hubert_base.pt', 'MODELS.txt', 'rmvpe.pt', 'fcpe.pt']
return [item for item in models_list if item not in items_to_remove]
def update_models_list():
models_l = ignore_files(rvc_models_dir)
return gr.update(choices=models_l)
def extract_zip(extraction_folder, zip_name):
os.makedirs(extraction_folder, exist_ok=True)
with zipfile.ZipFile(zip_name, 'r') as zip_ref:
zip_ref.extractall(extraction_folder)
os.remove(zip_name)
index_filepath, model_filepath = None, None
for root, _, files in os.walk(extraction_folder):
for name in files:
if name.endswith('.index') and os.stat(os.path.join(root, name)).st_size > 1024 * 100:
index_filepath = os.path.join(root, name)
if name.endswith('.pth') and os.stat(os.path.join(root, name)).st_size > 1024 * 1024 * 40:
model_filepath = os.path.join(root, name)
if not model_filepath:
raise gr.Error(f'The .pth model file was not found in the unzipped zip file. Please check the {extraction_folder}.')
os.rename(model_filepath, os.path.join(extraction_folder, os.path.basename(model_filepath)))
if index_filepath:
os.rename(index_filepath, os.path.join(extraction_folder, os.path.basename(index_filepath)))
for filepath in os.listdir(extraction_folder):
if os.path.isdir(os.path.join(extraction_folder, filepath)):
shutil.rmtree(os.path.join(extraction_folder, filepath))
def download_from_url(url, dir_name, progress=gr.Progress()):
try:
progress(0, desc=f'[~] Downloading voice model named {dir_name}...')
zip_name = os.path.join(rvc_models_dir, dir_name + '.zip')
extraction_folder = os.path.join(rvc_models_dir, dir_name)
if os.path.exists(extraction_folder):
raise gr.Error(f'The voice model directory {dir_name} already exists! Please choose a different name for your voice model.')
if 'drive.google.com' in url:
progress(0.5, desc='[~] Downloading model from Google Grive...')
file_id = url.split("file/d/")[1].split("/")[0] if "file/d/" in url else url.split("id=")[1].split("&")[0]
output = zip_name
gdown.download(id=file_id, output=output, quiet=False)
elif 'huggingface.co' in url:
progress(0.5, desc='[~] Downloading model from HuggingFace...')
urllib.request.urlretrieve(url, zip_name)
elif 'pixeldrain.com' in url:
progress(0.5, desc='[~] Downloading model from Pixeldrain...')
file_id = url.split("pixeldrain.com/u/")[1]
response = requests.get(f"https://pixeldrain.com/api/file/{file_id}")
with open(zip_name, 'wb') as f:
f.write(response.content)
elif 'mega.nz' in url:
progress(0.5, desc='[~] Downloading model from Mega...')
m = Mega()
m.download_url(url, dest_filename=zip_name)
elif 'yadi.sk' in url or 'disk.yandex.ru' in url:
progress(0.5, desc='[~] Downloading model from Yandex Disk...')
yandex_api_url = "https://cloud-api.yandex.net/v1/disk/public/resources/download?public_key={}".format(url)
response = requests.get(yandex_api_url)
if response.status_code == 200:
download_link = response.json().get('href')
urllib.request.urlretrieve(download_link, zip_name)
else:
raise gr.Error(f"Error when receiving a download link from Yandex Disk: {response.status_code}")
progress(0.8, desc='[~] Extracting zip file...')
extract_zip(extraction_folder, zip_name)
return f'[+] The {dir_name} model was loaded successfully!'
except Exception as e:
raise gr.Error(str(e))
def upload_zip_model(zip_path, dir_name, progress=gr.Progress()):
try:
extraction_folder = os.path.join(rvc_models_dir, dir_name)
if os.path.exists(extraction_folder):
raise gr.Error(f'The voice model directory {dir_name} already exists! Choose a different name for your voice model.')
zip_name = zip_path.name
progress(0.8, desc='[~] Extracting zip file...')
extract_zip(extraction_folder, zip_name)
return f'[+] The {dir_name} model was loaded successfully!'
except Exception as e:
raise gr.Error(str(e))
def upload_separate_files(pth_file, index_file, dir_name, progress=gr.Progress()):
try:
extraction_folder = os.path.join(rvc_models_dir, dir_name)
if os.path.exists(extraction_folder):
raise gr.Error(f'The voice model directory {dir_name} already exists! Choose a different name for your voice model.')
os.makedirs(extraction_folder, exist_ok=True)
if pth_file:
pth_path = os.path.join(extraction_folder, os.path.basename(pth_file.name))
shutil.copyfile(pth_file.name, pth_path)
if index_file:
index_path = os.path.join(extraction_folder, os.path.basename(index_file.name))
shutil.copyfile(index_file.name, index_path)
return f'[+] The {dir_name} model was loaded successfully!'
except Exception as e:
raise gr.Error(str(e)) |