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app.py

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+import gradio as gr
+import openai
+import random
+import os
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+QUESTIONS = [
+    "请分享您最近一次难忘的购物经历",
+    "购物中您最看重哪些因素？（比如价格、品质、服务等）",
+    "您如何看待促销活动对您购买行为的影响？",
+    "您是否曾因为社交媒体上的推荐而下单？",
+    "您喜欢在线购物还是实体店购物？为什么？",
+    "购物过程中，您有没有使用过AI购物助手？觉得有帮助吗？",
+    "在未来，您希望购物体验有哪些改进？",
+    "您是否遇到过购物陷阱或不愉快的消费体验？",
+    "请用三个词形容理想的购物体验"
+]
+
+EMOJIS = ["👍", "❤️", "👏", "😄", "😢", "😂", "🥺", "💡", "🔥"]
+BOT_COMMENTS = [
+    "我也有类似的经历，真的很有共鸣！",
+    "听起来很有意思，我可能也会这么选。",
+    "我曾经也遇到过类似的情况呢～",
+    "太真实了，我懂你的感觉！"
+]
+
+def respond(user_input, chat_history, step):
+    if step >= len(QUESTIONS):
+        return chat_history + [
+            {"role": "user", "content": user_input},
+            {"role": "assistant", "content": random.choice(EMOJIS) + " 感谢您的精彩回答！"},
+            {"role": "assistant", "content": "我们的问题已全部结束，感谢您的分享与陪伴！📝\n👉 请点击页面右下角的蓝色箭头继续填写问卷！"}
+        ], "", step, chat_history
+
+    messages = [
+        {"role": "system", "content": "你是一位友善的调查助手，请用一句积极话语评价用户刚才的回答，并附带一个轻松的表情符号，不要提出新问题。"},
+        {"role": "user", "content": user_input}
+    ]
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=messages,
+        temperature=0.7
+    )
+    comment = response.choices[0].message["content"]
+    bot_thought = ""
+    if random.random() < 0.4:
+        bot_thought = "\n🤖 小秘书：" + random.choice(BOT_COMMENTS)
+    next_q = QUESTIONS[step]
+
+    updated_history = chat_history + [
+        {"role": "user", "content": user_input},
+        {"role": "assistant", "content": comment + bot_thought},
+        {"role": "assistant", "content": f"{step+1}. {next_q}"}
+    ]
+    return updated_history, "", step + 1, updated_history
+
+with gr.Blocks(title="SwansGPTBot") as demo:
+    gr.Markdown("### 🛍️ 调查小秘书")
+    chatbot = gr.Chatbot(
+        avatar_images=[None, "bot_avatar.png"],
+        show_label=False,
+        height=500,
+        layout="bubble",
+        type="messages"
+    )
+    user_input = gr.Textbox(placeholder="请输入内容后点击发送...", show_label=False)
+    state = gr.State([])
+    step = gr.State(0)
+
+    def init_chat():
+        return [{"role": "assistant", "content": f"你好！我是小秘书 🤖 很高兴见到你！我们开始吧～\n\n1. {QUESTIONS[0]}"}], 1
+
+    demo.load(fn=init_chat, outputs=[chatbot, step])
+    user_input.submit(respond, [user_input, state, step], [chatbot, user_input, step, state])
+    user_input.change(lambda _: "", None, user_input)
+
+if __name__ == "__main__":
+    demo.queue().launch(debug=True)

requirements.txt

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+gradio[oauth,mcp]==5.29.1
+openai