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app.py

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+import gradio as gr
+import pandas as pd
+
+def merge_excel_tables(file_path1, file_path2):
+    df1 = pd.read_excel(file_path1.name, engine='openpyxl')
+    df2 = pd.read_excel(file_path2.name, engine='openpyxl')
+    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)]
+    # new_result = pd.DataFrame( merged_df)
+    return merged_df
+
+iface = gr.Interface(fn=merge_excel_tables, inputs=["file", "file"], outputs=gr.outputs.Dataframe(type='pandas'), title="强哥的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()

requirements.txt

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+pandas