Update app.py

app.py

@@ -6,30 +6,4 @@ def process_excel(file):
     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()
+iface.launch()