Create app.py

app.py

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+import requests
+from bs4 import BeautifulSoup
+import pandas as pd
+import gradio as gr
+
+def fetch_occupancy_data(hospital_id="10", floor=""):
+    """
+    爬取奇美醫院佔床率資料
+    
+    Args:
+        hospital_id (str): 醫院ID，默認為"10"（總院）
+        floor (str): 樓層篩選，默認為空
+        
+    Returns:
+        tuple: (DataFrame, str) - 佔床資料的DataFrame和狀態訊息
+    """
+    # URL of the page to scrape
+    url = f"https://www.chimei.org.tw/%E4%BD%94%E5%BA%8A%E7%8E%87%E6%9F%A5%E8%A9%A2/%E4%BD%94%E5%BA%8A%E7%8E%87%E6%9F%A5%E8%A9%A2.aspx?ihospital={hospital_id}&ffloor={floor}"
+    
+    try:
+        # Send HTTP request
+        response = requests.get(url)
+        response.encoding = 'utf-8'  # Set encoding to handle Chinese characters
+        
+        # Create BeautifulSoup object
+        soup = BeautifulSoup(response.text, 'html.parser')
+        
+        # Find the target table (DG1)
+        target_table = soup.find('table', {'id': 'DG1'})
+        
+        # Extract data from the table
+        data = []
+        if target_table:
+            rows = target_table.find_all('tr')
+            
+            # Skip the header row
+            for row in rows[1:]:
+                cols = row.find_all('td')
+                if len(cols) == 5:  # Ensure row has 5 columns
+                    bed_type = cols[0].text.strip()
+                    total_beds = int(cols[1].text.strip())
+                    occupied_beds = int(cols[2].text.strip())
+                    available_beds = int(cols[3].text.strip())
+                    occupancy_rate = cols[4].text.strip()
+                    
+                    data.append({
+                        '病床類別': bed_type,
+                        '總床數': total_beds,
+                        '佔床數': occupied_beds,
+                        '空床數': available_beds,
+                        '佔床率': occupancy_rate
+                    })
+        
+        # Create pandas DataFrame
+        df = pd.DataFrame(data)
+        
+        if df.empty:
+            return None, "無法獲取資料，請檢查網絡連接或醫院ID。"
+        
+        return df, "資料獲取成功！"
+    
+    except Exception as e:
+        return None, f"發生錯誤: {str(e)}"
+
+def create_visualization(df):
+    """
+    建立資料視覺化圖表
+    
+    Args:
+        df (DataFrame): 佔床率資料
+        
+    Returns:
+        matplotlib.figure.Figure: 視覺化圖表
+    """
+    if df is None or df.empty:
+        return None
+    
+    # 建立佔床率圖表
+    fig = df.plot(x='病床類別', y=['佔床數', '空床數'], kind='bar', stacked=True, 
+                 figsize=(10, 6), title='奇美醫院各類病床佔用情況').get_figure()
+    
+    return fig
+
+def process_query(hospital_id, floor):
+    """
+    處理使用者查詢
+    
+    Args:
+        hospital_id (str): 醫院ID
+        floor (str): 樓層篩選
+        
+    Returns:
+        tuple: (DataFrame HTML, 圖表, 訊息)
+    """
+    df, message = fetch_occupancy_data(hospital_id, floor)
+    
+    if df is not None:
+        fig = create_visualization(df)
+        html_table = df.to_html(classes="table table-striped", index=False)
+        return html_table, fig, message
+    else:
+        return None, None, message
+
+# 定義Gradio介面
+with gr.Blocks(title="奇美醫院佔床率查詢系統") as app:
+    gr.Markdown("# 奇美醫院佔床率查詢系統")
+    gr.Markdown("該系統可以即時查詢奇美醫院各類病床的佔用情況")
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            # 輸入欄位
+            hospital_id = gr.Dropdown(
+                choices=[
+                    ("總院", "10"),
+                    ("柳營分院", "20"),
+                    ("佳里分院", "30"),
+                    ("鹽埕分院", "40")
+                ],
+                value="10",
+                label="選擇醫院"
+            )
+            
+            floor = gr.Textbox(label="樓層篩選 (可選)", placeholder="例如：3F、5F")
+            
+            query_btn = gr.Button("查詢佔床率", variant="primary")
+        
+        with gr.Column(scale=2):
+            # 輸出欄位
+            output_message = gr.Textbox(label="查詢狀態")
+            output_table = gr.HTML(label="佔床率資料表")
+            output_chart = gr.Plot(label="佔床情況視覺化")
+    
+    # 設定查詢按鈕動作
+    query_btn.click(
+        fn=process_query,
+        inputs=[hospital_id, floor],
+        outputs=[output_table, output_chart, output_message]
+    )
+    
+    gr.Markdown("### 使用說明")
+    gr.Markdown("""
+    1. 從下拉選單選擇要查詢的醫院
+    2. 可選擇性地輸入特定樓層進行篩選
+    3. 點擊"查詢佔床率"按鈕獲取最新資料
+    4. 系統會顯示表格和視覺化圖表
+    """)
+
+# 啟動Gradio應用
+if __name__ == "__main__":
+    app.launch()