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import requests | |
import zipfile | |
import os | |
import shutil | |
from tqdm import tqdm | |
def download(): | |
url = 'https://huggingface.co/Ailyth/Text_to_Speech_MODELS/resolve/main/tts_models.zip?download=true' | |
output = 'temp.zip' | |
current_dir = os.path.dirname(os.path.abspath(__file__)) | |
info_py_path = os.path.join(current_dir, 'info.py') | |
models_dir = os.path.join(current_dir, 'MODELS') | |
if os.path.exists(info_py_path) and os.path.exists(models_dir): | |
print('Files already exist, skipping download.') | |
return | |
print('β¨ Downloading models') | |
response = requests.head(url) | |
total_size = int(response.headers.get('content-length', 0)) | |
block_size = 1024 | |
progress = tqdm(total=total_size, unit='iB', unit_scale=True) | |
with requests.get(url, stream=True) as r: | |
with open(output, 'wb') as f: | |
for chunk in r.iter_content(chunk_size=8192): | |
if chunk: | |
f.write(chunk) | |
progress.update(len(chunk)) | |
progress.close() | |
with zipfile.ZipFile(output, 'r') as zip_ref: | |
total_files = len(zip_ref.infolist()) | |
print('Installing') | |
extract_progress = tqdm(total=total_files, unit='file', leave=False) | |
for file_info in zip_ref.infolist(): | |
try: | |
zip_ref.extract(file_info, path=current_dir) | |
except zipfile.error as e: | |
print(f"Error extracting {file_info.filename}: {e}") | |
extract_progress.update() | |
extract_progress.close() | |
os.remove(output) | |
if __name__ == '__main__': | |
download() |