Update app.py

app.py

@@ -71,6 +71,8 @@ async def gpt_translate(text, target_lang):
 
 async def respond(user_input, history, step, language, questions, followup_mode):
     history.append({"role": "user", "content": user_input})
+
+    # === 用户选择语言 ===
     if language == "":
         user_language = user_input.strip().capitalize()
         questions_en = generate_question_set()
@@ -78,17 +80,22 @@ async def respond(user_input, history, step, language, questions, followup_mode)
         welcome = await gpt_translate("Great! We will now continue in your selected language.", user_language)
         history.append({"role": "assistant", "content": f"{welcome}\n\n1. {translated_questions[0]}"})
         return history, "", 1, user_language, translated_questions, False
+
+    # === 所有问题问完 ===
     if step >= len(questions):
         thank_you = await gpt_translate("Thank you for your response! It was a pleasure talking with you. I hope you enjoyed the conversation.", language)
         end_note = await gpt_translate("This concludes our questions. Please proceed with the rest of the survey. 📝", language)
         history.append({"role": "assistant", "content": thank_you})
         history.append({"role": "assistant", "content": end_note})
         return history, "", step, language, questions, False
+
+    # === 如果是追问回应 ===
     if followup_mode:
+        # bot 对追问做出简短回应
         comment_prompt = [
             {"role": "system", "content": f"Write a short, empathetic comment in {language} responding to the user's last answer."},
-            history[-2],
-            history[-1]
+            history[-2],  # 用户上次回答
+            history[-1]   # 用户追问回答
         ]
         comment_response = client.chat.completions.create(
             model="gpt-3.5-turbo",
@@ -96,19 +103,26 @@ async def respond(user_input, history, step, language, questions, followup_mode)
             temperature=0.7
         )
         comment = comment_response.choices[0].message.content.strip()
+
+        # 输出回应
         history.append({"role": "assistant", "content": ""})
         for c in comment:
             history[-1]["content"] += c
             await asyncio.sleep(0.03)
+
+        # 然后推进到下一个主问题
         next_question = f"{step+1}. {questions[step]}"
         history.append({"role": "assistant", "content": ""})
         for c in next_question:
             history[-1]["content"] += c
             await asyncio.sleep(0.03)
+
         return history, "", step + 1, language, questions, False
 
+    # === 正常问题回答阶段 ===
+    # 生成简评 + 是否触发追问
     comment_prompt = [
-        {"role": "system", "content": f"You are Robin, a warm and engaging conversational AI companion who chats naturally with the user, asks questions, and responds thoughtfully to their answers.Write 1–2 natural follow-up questions based on the user's answer. Do NOT number the questions. Just write them as natural, standalone questions. Write a short, personalized comment on the user's answer in {language}. Add a light emoji at the end."},
+        {"role": "system", "content": f"You are Robin, a warm and engaging conversational AI companion who chats naturally with the user, asks questions, and responds thoughtfully to their answers. Write 1–2 natural follow-up questions based on the user's answer. Do NOT number the questions. Just write them as natural, standalone questions. Write a short, personalized comment on the user's answer in {language}. Add a light emoji at the end."},
         history[-2],
         history[-1]
     ]
@@ -119,6 +133,7 @@ async def respond(user_input, history, step, language, questions, followup_mode)
     )
     bot_reply = comment_response.choices[0].message.content.strip()
 
+    # 控制追问次数
     followup_count = 0
     rand = random.random()
     if rand < 0.1:
@@ -127,8 +142,9 @@ async def respond(user_input, history, step, language, questions, followup_mode)
         followup_count = 1
 
     if followup_count > 0:
+        # 生成追问
         followup_prompt = [
-            {"role": "system", "content": f"Ask {followup_count} open-ended follow-up question(s) based on the user's last answer in {language}."},
+            {"role": "system", "content": f"Ask {followup_count} open-ended follow-up question(s) based on the user's last answer in {language}. Do NOT number them."},
             history[-2],
             history[-1]
         ]
@@ -138,23 +154,30 @@ async def respond(user_input, history, step, language, questions, followup_mode)
             temperature=0.7
         )
         bot_reply += "\n\n" + followup_response.choices[0].message.content.strip()
+
         history.append({"role": "assistant", "content": ""})
         for c in bot_reply:
             history[-1]["content"] += c
             await asyncio.sleep(0.03)
+
+        # 标记进入追问等待状态
         return history, "", step, language, questions, True
 
+    # 若无追问，直接回应并进入下一题
     history.append({"role": "assistant", "content": ""})
     for c in bot_reply:
         history[-1]["content"] += c
         await asyncio.sleep(0.03)
+
     next_question = f"{step+1}. {questions[step]}"
     history.append({"role": "assistant", "content": ""})
     for c in next_question:
         history[-1]["content"] += c
         await asyncio.sleep(0.03)
+
     return history, "", step + 1, language, questions, False
 
+
 def init():
     return [{"role": "assistant", "content": WELCOME_MESSAGE_EN}], 0, "", [], False