# �� Copilot �ͦ�
# Hugging Face Spaces �t�m�]�w

import os
import warnings

# �]�w�����ܼơA�u�� Hugging Face Spaces �B��
os.environ['TOKENIZERS_PARALLELISM'] = 'false'
os.environ['HF_HUB_DISABLE_PROGRESS_BARS'] = '1'

# �����Y��ĵ�i
warnings.filterwarnings('ignore', category=UserWarning)
warnings.filterwarnings('ignore', category=FutureWarning)

# Hugging Face Spaces �S�w�]�w
HF_SPACES_CONFIG = {
    'max_sample_size': 100,  # ����˥��ƶq�קK�W��
    'enable_hf_models': True,  # �w�]�ҥ� HF �ҫ�
    'timeout': 60,  # 60���W��
    'model_cache_dir': '/tmp/hf_cache',  # �ҫ��֨��ؿ�
}

def is_running_on_spaces():
    """�ˬd�O�_�B��b Hugging Face Spaces �W"""
    return os.getenv('SPACE_ID') is not None

def get_spaces_config():
    """��� Spaces �t�m"""
    return HF_SPACES_CONFIG

def setup_for_spaces():
    """�� Spaces ���Ҷi��]�w"""
    if is_running_on_spaces():
        print("? Running on Hugging Face Spaces")
        
        # �]�w�֨��ؿ�
        cache_dir = HF_SPACES_CONFIG['model_cache_dir']
        if not os.path.exists(cache_dir):
            os.makedirs(cache_dir, exist_ok=True)
        
        # �]�w transformers �֨�
        os.environ['TRANSFORMERS_CACHE'] = cache_dir
        os.environ['HF_HOME'] = cache_dir
    else:
        print("? Running locally")

# �۰ʰ���]�w
setup_for_spaces()