add: faq update

app.py

@@ -57,27 +57,29 @@ def log_to_google_sheet(question, answer, contexts, scores):
     except Exception as e:
         print("寫入 Google Sheet 失敗:", str(e))
 
-def fetch_announcement_from_sheet():
-    DEFAULT_MESSAGE = "尚無公告"
+def fetch_sheet_content():
+    DEFAULT_ANNOUNCEMENT = "尚無公告"
+    DEFAULT_FAQ = "尚無常見問題"
+
     try:
         url = os.environ.get("ANNOUNCEMENT_URL")
         if not url:
-            print("Warning: 環境變數 'ANNOUNCEMENT_URL' 未設定")
-            return DEFAULT_MESSAGE
+            print("Warning: 未設定 ANNOUNCEMENT_URL")
+            return DEFAULT_ANNOUNCEMENT, DEFAULT_FAQ
 
         df = pd.read_csv(url)
 
-        if "Announcement" not in df.columns:
-            print("Error: CSV 檔案中無 'Announcement' 欄位")
-            return DEFAULT_MESSAGE
+        announcement = df["Announcement"].iloc[0].strip() if "Announcement" in df.columns else DEFAULT_ANNOUNCEMENT
+        faq = df["FAQ"].iloc[0].strip() if "FAQ" in df.columns else DEFAULT_FAQ
+
+        announcement = announcement.replace("\\n", "<br>").replace("\n", "<br>")
+        faq = faq.replace("\\n", "<br>").replace("\n", "<br>")
 
-        content = str(df["Announcement"].iloc[0]).strip()
-        content = content.replace("\\n", "<br>").replace("\n", "<br>")
-        return content if content else DEFAULT_MESSAGE
+        return announcement or DEFAULT_ANNOUNCEMENT, faq or DEFAULT_FAQ
 
     except Exception as e:
-        print(f"Error: 載入公告失敗：{e}")
-        return DEFAULT_MESSAGE
+        print("載入 Sheet 錯誤：", e)
+        return DEFAULT_ANNOUNCEMENT, DEFAULT_FAQ
 
 
 def validate_openai_key(api_key):
@@ -288,7 +290,6 @@ with gr.Blocks() as demo:
 ### 📢 系統公告
 """)
     announcement_display = gr.Markdown()
-    demo.load(fn=fetch_announcement_from_sheet, inputs=[], outputs=announcement_display)
 
     file_input = gr.File(label="上傳 Evaluation_Dataset.csv")
     api_key_input = gr.Textbox(label="OpenAI API Key", type="password")
@@ -297,15 +298,17 @@ with gr.Blocks() as demo:
     result_output = gr.Dataframe(label="評估結果")
     download_link = gr.File(label="下載評估結果(CSV)")
 
-    # 常見QA文字
+    # 常見QA
     gr.Markdown("""
     ---  
-    ### ❓ 常見問題 & 解答  
-
-    **Q: 什麼是「指令集」？**  
-    A: 「指令集」是我們用來描述老師在課堂上所設計的各種學習活動操作流程。在與教學系統互動時，老師通常會透過一系列結構化的指令來引導學生完成任務，因此我們將這些可重複使用的操作流程統稱為「指令集」。
-                指令集也如同RESTful API一樣，我們有先盡力的與老師們溝通他們的需求，不過這些需求都只能視為一個草案，最終仍需要仰賴得標業者與老師們收斂，並且確定最終的版本來加以實作。
+    ### ❓ 常見問題 & 解答
     """)
+    faq_display = gr.Markdown()
+
+    # 載入公告與 FAQ
+    def load_sheet():
+        return fetch_sheet_content()
+    demo.load(fn=load_sheet, inputs=[], outputs=[announcement_display, faq_display])
 
     def wrapped_fn(file, key):
         return RAG_evaluation(file, key)