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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+humanlike_avatar.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,13 +1,40 @@
 ---
-title: Bot A
-emoji: 👁
-colorFrom: purple
-colorTo: yellow
+title: 调查小秘书
+emoji: 📋
+colorFrom: indigo
+colorTo: blue
 sdk: gradio
-sdk_version: 5.31.0
+sdk_version: 5.29.1
 app_file: app.py
 pinned: false
-short_description: Bot_A
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+这是一个内嵌问卷用的 GPT 聊天机器人，具有用户/助手头像、逐字打印动画、自定义气泡样式和发送按钮。
+
+# 🛍️ SwansGPTBot - 问卷调查聊天机器人
+
+这是一个用于在线问卷的定制化交互式聊天机器人，基于 Gradio + OpenAI GPT 构建。
+
+## 🧠 功能特色
+
+- 和用户互动提出 9 个预设问题
+- 每次回应包括：简短评价 + 下一问题
+- 聊天机器人头像展示 + 气泡式布局
+- 支持 emoji 情感回应和偶尔加入机器人“想法”
+- 可嵌入 Qualtrics 问卷 iframe 使用
+
+## 🚀 如何运行
+
+确保你在 Hugging Face Spaces 中上传以下三个文件：
+
+- `app.py`
+- `requirements.txt`
+- `bot_avatar.png`
+
+环境会自动安装依赖并运行。你也可以点击右上角 “App” 标签页进行交互测试。
+
+## 🤖 技术栈
+
+- Gradio 5.29.1
+- OpenAI GPT-3.5
+- Hugging Face Spaces

app.py

@@ -0,0 +1,241 @@
+import gradio as gr
+from openai import OpenAI
+import os
+import random
+import asyncio
+
+client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
+
+DEFAULT_LANGUAGE = "English"
+WELCOME_MESSAGE_EN = "Hi! I'm your friendly assistant 🤖 Let's begin!\n\nPlease tell me which language you'd like to use."
+
+# === Question Bank ===
+SET_I = [
+    "Given the choice of anyone in the world, whom would you want as a dinner guest?",
+    "Would you like to be famous? In what way?",
+    "Before making a telephone call, do you ever rehearse what you are going to say? Why?",
+    "What would constitute a 'perfect' day for you?",
+    "When did you last sing to yourself? To someone else?",
+    "If you were able to live to the age of 90 and retain either the mind or body of a 30-year-old for the last 60 years of your life, which would you want?",
+    "Do you have a secret hunch about how you will die?",
+    "Name three things you and me appear to have in common.",
+    "For what in your life do you feel most grateful?",
+    "If you could change anything about the way you were raised, what would it be?",
+    "Take one minutes and tell me your life story in as much detail as possible.",
+    "If you could wake up tomorrow having gained any one quality or ability, what would it be?"
+]
+
+SET_II = [
+    "If a crystal ball could tell you the truth about yourself, your life, the future or anything else, what would you want to know?",
+    "Is there something that you’ve dreamed of doing for a long time? Why haven’t you done it?",
+    "What is the greatest accomplishment of your life?",
+    "What do you value most in a friendship?",
+    "What is your most treasured memory?",
+    "What is your most terrible memory?",
+    "If you knew that in one year you would die suddenly, would you change anything about the way you are now living? Why?",
+    "What does friendship mean to you?",
+    "What roles do love and affection play in your life?",
+    "Alternate sharing something you consider a positive characteristic of me. Share a total of three items.",
+    "How close and warm is your family? Do you feel your childhood was happier than most other people’s?",
+    "How do you feel about your relationship with your mother?"
+]
+
+SET_III = [
+    "Make three true 'we' statements each. For instance, 'We are both in this chatroom feeling ...'",
+    "Complete this sentence: 'I wish I had someone with whom I could share ...'",
+    "If you were going to become a close friend with me, please share what would be important for me to know.",
+    "Tell me what you like about me; be very honest this time, saying things that you might not say to someone you’ve just met.",
+    "Share with me an embarrassing moment in your life.",
+    "When did you last cry in front of another person? By yourself?",
+    "Tell me something that you like about me already.",
+    "What, if anything, is too serious to be joked about?",
+    "If you were to die this evening with no opportunity to communicate with anyone, what would you most regret not having told someone? Why haven’t you told them yet?",
+    "Your house, containing everything you own, catches fire. After saving your loved ones and pets, you have time to safely make a final dash to save any one item. What would it be? Why?",
+    "Of all the people in your family, whose death would you find most disturbing? Why?",
+    "Share a personal problem and ask my advice on how I might handle it. Also, ask me to reflect back to you how you seem to be feeling about the problem you have chosen."
+]
+
+def generate_question_set():
+    return random.sample(SET_I, 3) + random.sample(SET_II, 3) + random.sample(SET_III, 3)
+
+async def gpt_translate(text, target_lang):
+    if target_lang == "English":
+        return text
+    prompt = f"Translate the following into {target_lang}:\n\n{text}"
+    response = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.3
+    )
+    return response.choices[0].message.content.strip()
+
+async def respond(user_input, history, step, language, questions, followup_mode):
+    history.append({"role": "user", "content": user_input})
+    if language == "":
+        user_language = user_input.strip().capitalize()
+        questions_en = generate_question_set()
+        translated_questions = [await gpt_translate(q, user_language) for q in questions_en]
+        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
+    if step >= len(questions):
+        thank_you = await gpt_translate("Thank you for your response!", 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
+    if followup_mode:
+        comment_prompt = [
+            {"role": "system", "content": f"Write a short, empathetic comment in {language} responding to the user's last answer."},
+            history[-2],
+            history[-1]
+        ]
+        comment_response = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=comment_prompt,
+            temperature=0.7
+        )
+        comment = comment_response.choices[0].message.content.strip()
+        history.append({"role": "assistant", "content": ""})
+        for c in comment:
+            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
+
+    comment_prompt = [
+        {"role": "system", "content": f"You are a friendly and witty assistant. Write a short, personalized comment on the user's answer in {language}. Add a light emoji at the end."},
+        history[-2],
+        history[-1]
+    ]
+    comment_response = client.chat.completions.create(
+        model="gpt-3.5-turbo",
+        messages=comment_prompt,
+        temperature=0.8
+    )
+    bot_reply = comment_response.choices[0].message.content.strip()
+
+    followup_count = 0
+    rand = random.random()
+    if rand < 0.1:
+        followup_count = 2
+    elif rand < 0.5:
+        followup_count = 1
+
+    if followup_count > 0:
+        followup_prompt = [
+            {"role": "system", "content": f"Ask {followup_count} open-ended follow-up question(s) based on the user's last answer in {language}."},
+            history[-2],
+            history[-1]
+        ]
+        followup_response = client.chat.completions.create(
+            model="gpt-3.5-turbo",
+            messages=followup_prompt,
+            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)
+        return history, "", step, language, questions, True
+
+    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
+
+with gr.Blocks(css="""
+.send-btn {
+  background-color: #25D366 !important;
+  color: white !important;
+  border: none;
+  border-radius: 24px;
+  font-size: 20px;
+  padding: 8px 20px;
+  height: 48px;
+  width: 60px;
+  margin-left: 8px;
+  cursor: pointer;
+}
+#chatbox .avatar-container {
+    width: 64px !important;
+    height: 64px !important;
+    min-width: 64px !important;
+    min-height: 64px !important;
+    background-size: 100% 100% !important;
+    background-position: center center !important;
+    border-radius: 50% !important;
+    padding: 0 !important;
+    margin: 0 !important;
+    border: none !important;
+    box-shadow: none !important;
+    background-color: transparent !important;
+}
+#chatbox .message.user { background-color: #DCF8C6 !important; }
+#chatbox .message.assistant { background-color: #ffffff !important; }
+
+""") as demo:
+    gr.HTML("""
+    <script>
+      const waitForChatbox = () => {
+        const chatbox = document.getElementById("chatbox");
+        if (chatbox) {
+          const observer = new MutationObserver(() => {
+            chatbox.scrollTop = chatbox.scrollHeight;
+          });
+          observer.observe(chatbox, { childList: true, subtree: true });
+        } else {
+          setTimeout(waitForChatbox, 500);
+        }
+      };
+      waitForChatbox();
+    </script>
+    """)
+
+    chatbot = gr.Chatbot(
+        elem_id="chatbox",
+        label="",
+        avatar_images=["user_avatar.jpg", "bot_avatar.png"],
+        bubble_full_width=False,
+        height=500,
+        show_copy_button=False,
+        type="messages"
+    )
+
+    with gr.Row():
+        user_input = gr.Textbox(
+            show_label=False,
+            placeholder="Type your message here and press send...",
+            container=True,
+            scale=10
+        )
+        send_btn = gr.Button(value="➤", elem_classes="send-btn")
+
+    state = gr.State([])
+    step = gr.State(0)
+    language = gr.State("")
+    questions = gr.State([])
+    followup_mode = gr.State(False)
+
+    demo.load(fn=init, outputs=[chatbot, step, language, questions, followup_mode])
+    user_input.submit(respond, [user_input, state, step, language, questions, followup_mode],
+                      [chatbot, user_input, step, language, questions, followup_mode])
+    send_btn.click(respond, [user_input, state, step, language, questions, followup_mode],
+                   [chatbot, user_input, step, language, questions, followup_mode])
+
+    demo.queue().launch()
+

requirements.txt

@@ -0,0 +1,2 @@
+gradio>=4.0.0
+openai>=1.0.0