# �� Copilot �ͦ�
# �̤p�ƴ��ժ��� - �Ω�E�_ Hugging Face Spaces ���D

import gradio as gr
import pandas as pd
import numpy as np
from typing import Dict

def create_minimal_test_data():
    """�Ыس̤p���ո��"""
    np.random.seed(42)
    
    data = []
    for i in range(20):
        data.append({
            'title': f'���ժ��� {i+1}',
            'price': np.random.randint(20000, 40000),
            'area': np.random.randint(25, 45),
            'address': f'���������s�ϴ��ո�{i+1}��'
        })
    
    return pd.DataFrame(data)

def minimal_analysis(sample_size):
    """�̤p�Ƥ��R�\��"""
    try:
        # �Ыش��ո��
        df = create_minimal_test_data()
        
        # �򥻲έp
        stats = {
            '�����': len(df),
            '��������': f"{df['price'].mean():.0f} ��",
            '���������': f"{df['price'].median():.0f} ��",
            '�����W��': f"{df['area'].mean():.1f} �W"
        }
        
        # �ͦ�²����i
        report = f"""
# ? 591���Τ��R�� - ���ժ���

## ? �򥻲έp
- �����`�ơG{stats['�����']} ��
- ���������G{stats['��������']}
- ��������ơG{stats['���������']}
- �����W�ơG{stats['�����W��']}

## ? �t���A
- ��ƥͦ��G���`
- ���R�\��G���`
- Gradio �����G���`

**�� Copilot �ͦ�**
        """
        
        return report, df.head(10)
        
    except Exception as e:
        error_msg = f"""
# ? ���~���i

�o�Ϳ��~�G{str(e)}

�o�O�@�ӶE�_�����A�Ц^�������~�T���C
        """
        empty_df = pd.DataFrame()
        return error_msg, empty_df

def create_minimal_interface():
    """�Ыس̤p�Ƥ���"""
    
    interface = gr.Interface(
        fn=minimal_analysis,
        inputs=[
            gr.Slider(
                minimum=10, 
                maximum=50, 
                value=20, 
                step=10, 
                label="���ո�Ƶ���"
            )
        ],
        outputs=[
            gr.Markdown(label="���R���i"),
            gr.Dataframe(label="��ƹw��")
        ],
        title="? 591�����R�� - �E�_����",
        description="�o�O�@�ӳ̤p�ƴ��ժ����A�Ω�E�_ Hugging Face Spaces ���p���D�C",
        theme=gr.themes.Soft(),
        allow_flagging="never"
    )
    
    return interface

if __name__ == "__main__":
    demo = create_minimal_interface()
    demo.launch()