import gradio as gr
import pandas as pd

def process_excel(file):
    df = pd.read_excel(file.name, engine='openpyxl')
    return df,type(df)

iface = gr.Interface(fn=process_excel, inputs=gr.File(type='file',label='excle'), outputs=[gr.outputs.Dataframe(type='pandas'),"text"], title="Excel Processor")
iface.launch()


# def merge_excel_tables(file_path1, file_path2):
#     df1 = process_excel(file_path1)
#     df2 = process_excel(file_path2)
#     merged_df = df1.merge(df2, left_on=list(df1.columns)[0], right_on=list(df2.columns)[0], how='left')
#     column_mapping = {}
#     for col in df1.columns:
#         column_mapping[col] = col
#     for col in merged_df.columns:
#         if col.endswith('_x'):
#             new_col = col[:-2]  # 去除_x后缀
#             if new_col in column_mapping:
#                 column_mapping[new_col] = new_col  # 如果存在相同的列名，保持不变
#             merged_df.rename(columns={col: new_col}, inplace=True)
#         elif col.endswith('_y'):
#             new_col = col[:-2]  # 去除_y后缀
#             merged_df.rename(columns={col: new_col}, inplace=True)
#     merged_df = merged_df.dropna(axis=1, how='all')
#     merged_df = merged_df[list(df1.columns)]
#     # merged_df.to_excel(output_file, index=False)
#     return merged_df


# iface = gr.Interface(fn=merge_excel_tables, inputs=["file", "file"], outputs=gr.outputs.Dataframe(type='pandas'), title="Excel Processor", description="根据表格一的第一列，寻找表格二对应第一列的行数据，把表格二中与表格一相同标签数据填入表格一")
# iface.launch()