Create app.py

app.py

@@ -0,0 +1,88 @@
+import gradio as gr
+import pandas as pd
+import requests
+import io
+
+def fetch_data(url):
+    """從 URL 獲取資料並返回 DataFrame"""
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        return pd.read_csv(io.StringIO(response.content.decode('utf-8-sig')))
+    except Exception as e:
+        return f"錯誤：{str(e)}"
+
+def load_board_data():
+    """載入董事會資料"""
+    url = "https://mopsfin.twse.com.tw/opendata/t187ap46_O_16.csv"
+    df = fetch_data(url)
+    if isinstance(df, pd.DataFrame):
+        return df, "董事會資料載入成功！"
+    return None, df
+
+def load_ghg_data():
+    """載入溫室氣體排放資料"""
+    url = "https://mopsfin.twse.com.tw/opendata/t187ap46_O_6.csv"
+    df = fetch_data(url)
+    if isinstance(df, pd.DataFrame):
+        return df, "溫室氣體排放資料載入成功！"
+    return None, df
+
+def load_esg_data():
+    """載入 ESG 綜合資料"""
+    url = "https://mopsfin.twse.com.tw/opendata/t187ap46_O_1.csv"
+    df = fetch_data(url)
+    if isinstance(df, pd.DataFrame):
+        df = df.dropna()
+        return df, "ESG 綜合資料載入成功！"
+    return None, df
+
+def process_and_display(data_choice):
+    """處理並顯示所選資料"""
+    if data_choice == "董事會":
+        df, message = load_board_data()
+    elif data_choice == "溫室氣體":
+        df, message = load_ghg_data()
+    else:
+        df, message = load_esg_data()
+    
+    if df is not None:
+        # 計算基本統計資訊
+        stats = f"""
+        資料列數：{len(df)}
+        資料欄位：{', '.join(df.columns)}
+        """
+        return df.head().to_html(), stats, message
+    return "", "", message
+
+# 創建 Gradio 介面
+with gr.Blocks() as app:
+    gr.Markdown("# 上櫃公司 ESG 資訊查詢系統")
+    
+    with gr.Row():
+        data_choice = gr.Radio(
+            choices=["董事會", "溫室氣體", "ESG綜合"],
+            label="選擇資料類型",
+            value="董事會"
+        )
+    
+    with gr.Row():
+        load_btn = gr.Button("載入資料")
+    
+    with gr.Row():
+        output_message = gr.Textbox(label="狀態訊息")
+    
+    with gr.Row():
+        stats_display = gr.Textbox(label="資料統計", lines=5)
+    
+    with gr.Row():
+        data_display = gr.HTML(label="資料預覽")
+    
+    load_btn.click(
+        process_and_display,
+        inputs=[data_choice],
+        outputs=[data_display, stats_display, output_message]
+    )
+
+if __name__ == "__main__":
+    app.launch()