Update app.py

app.py

@@ -7,14 +7,14 @@ import gspread
 from oauth2client.service_account import ServiceAccountCredentials
 from openai import OpenAI
 
-# === Google Sheet 初始化 ===
+# === Google Sheet ===
 def init_gsheet():
     scope = ["https://spreadsheets.google.com/feeds",
              "https://www.googleapis.com/auth/drive"]
     service_account_info = json.loads(os.getenv("GCP_SERVICE_ACCOUNT_JSON"))
     creds = ServiceAccountCredentials.from_json_keyfile_dict(service_account_info, scope)
     client = gspread.authorize(creds)
-    # ⚠️ 換成你的 Google Sheet 名稱
+    # Google Sheet 
     sheet = client.open("OneMinuteSummaryScores").sheet1
     return sheet
 
@@ -27,7 +27,7 @@ MODEL_NAME = "gpt-5.4-mini-2026-03-17"
 
 INTRO_TEXT = """
 <div>
-  <h1>國防醫學大學 醫學模擬實驗室 - 「One-Minute Summary」考核評分</h1>
+  <h1>國防醫學大學 醫學模擬實驗室 - 「One-Minute Summary」考核評分Beta版</h1>
   <h1>National Defense Medical University Medical Simulation Lab - 「One-Minute Summary」</h1>
   <p>本系統根據 <b>等第制 (A~F)</b> 與七大題項 (總分100分) 對你的總結給出評分與評語。</p>
   <p>The System is  based on <b> ranking A~F</b> and 7 questions (totoal 100) to evaluate your summary</p>
@@ -35,7 +35,7 @@ INTRO_TEXT = """
 </div>
 """
 
-# === 分數解析工具 ===
+# === Score ===
 def parse_scores(text: str):
     total = None
     m_total = re.search(r"總分[：:]\s*(\d+)\s*/\s*100", text)
@@ -121,7 +121,7 @@ ________________________________________
 共100分
 學生主要用什麼語言回答你就用什麼語言給分打回饋。
 ________________________________________
-請輸出格式：
+請輸出格式：(要有一個總分)
 1. 各項逐條給分與簡評
 2. 總分 (x/100)
 3. 等第 (A~F)
@@ -266,7 +266,7 @@ ________________________________________
 
 6. ACGME Internal Medicine Milestones 2.0 補充能力評估
 
-A. 六大核心能力摘要
+A. 六大核心能力摘要 (給出一個百分制的摘要總分)
 - Patient Care and Procedural Skills (PC): Level X.X / 5
 - Medical Knowledge (MK): Level X.X / 5
 - Systems-Based Practice (SBP): Level X.X / 5