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Update app.py
Browse files
app.py
CHANGED
@@ -116,29 +116,54 @@ def hybrid_retrieval(query, corpus_docs, faiss_index, embedding_model, k=3, kw_w
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return [doc for _, doc in scored_docs[:k]]
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# ========= Step 6: 聊天函数 =========
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def chat(user_input, history):
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history = history or []
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context_text = "\n".join([f"用户:{msg['content']}" if msg["role"] == "user" else f"sophia:{msg['content']}" for msg in history])
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-
#
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retrieved_docs = hybrid_retrieval(
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query=
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corpus_docs=all_docs,
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faiss_index=index,
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embedding_model=embedding_model,
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k=3
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)
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retrieved_context = "\n".join([doc.page_content for doc in retrieved_docs])
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#
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example_pairs = dialog_data[:5]
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example_text = "\n".join([f"user:{pair['user']}\nsophia:{pair['sophia']}" for pair in example_pairs])
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prompt = prompt_template.format(
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system=system_prompt,
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examples=example_text,
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context=retrieved_context + "\n" + context_text,
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question=
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)
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try:
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@@ -146,12 +171,17 @@ def chat(user_input, history):
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except Exception as e:
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reply = f"哎呀出错了:{str(e)}"
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history.append({"role": "user", "content": user_input})
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history.append({"role": "assistant", "content": reply})
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return history, history
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import gradio as gr
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# === 背景图与音乐 URL ===
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background_images = [
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"https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/family.jpg",
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@@ -168,7 +198,9 @@ background_images = [
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avatar_url = "https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/bean.jpg"
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music1 = "https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/FNG.mp3"
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music2 = "https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/PGY.mp3"
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🎀Horse And 7 Agent🎀")
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gr.Markdown("欢迎来到 **豌豆的家**,相信你也是马+7大家庭中的一员。我能在家里拉粑粑吗!💬")
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@@ -178,64 +210,64 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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state = gr.State([{"role": "assistant", "content": "勾巴,我是豌豆,你想聊啥?"}])
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btn = gr.Button("投喂")
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#
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gr.HTML(f"""
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<style>
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body {{
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margin: 0;
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animation: backgroundCycle
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background-size: cover;
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background-position: center;
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transition: background-image 1s ease-in-out;
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}}
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@keyframes backgroundCycle {{
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-
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10% {{ background-image: url({background_images[1]}); }}
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20% {{ background-image: url({background_images[2]}); }}
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30% {{ background-image: url({background_images[3]}); }}
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40% {{ background-image: url({background_images[4]}); }}
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50% {{ background-image: url({background_images[5]}); }}
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60% {{ background-image: url({background_images[6]}); }}
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70% {{ background-image: url({background_images[7]}); }}
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80% {{ background-image: url({background_images[8]}); }}
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90% {{ background-image: url({background_images[9]}); }}
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}}
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.gr-chatbot {{
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background:
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border-radius:
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padding: 10px;
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}}
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#sophia-avatar {{
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position: fixed;
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top:
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left:
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width:
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height:
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border-radius: 50%;
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z-index: 9999;
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}}
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@keyframes
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0
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50% {{ transform: translateY(0) rotate(180deg); }}
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75% {{ transform: translateY(10px) rotate(270deg); }}
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}}
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</style>
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<img id="sophia-avatar" src="{avatar_url}" />
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<audio id="bg-music" autoplay loop>
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<source src="{music1}" type="audio/mpeg">
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<source src="{music2}" type="audio/mpeg">
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Your browser does not support the audio tag.
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</audio>
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<script>
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//
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const musicList = ["{music1}", "{music2}"];
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let currentTrack = 0;
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const audio = document.getElementById("bg-music");
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@@ -245,12 +277,46 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
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audio.src = musicList[currentTrack];
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audio.play();
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}});
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</script>
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""")
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-
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msg.submit(chat, inputs=[msg, state], outputs=[chatbot, state])
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demo.launch()
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return [doc for _, doc in scored_docs[:k]]
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# ========= Step 6: 聊天函数 =========
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import random
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# 新增:用于主动引导话题的 fallback 逻辑
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def choose_fallback_topic(user_input, knowledge_docs):
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if len(user_input.strip()) < 5:
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candidates = [doc.page_content for doc in knowledge_docs if "?" in doc.page_content]
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if not candidates:
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candidates = [doc.page_content for doc in knowledge_docs]
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if candidates:
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return f"{user_input},{random.choice(candidates)}"
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return user_input
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def chat(user_input, history):
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history = history or []
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# ✅ 限制历史轮数,避免太长(最后 4 轮 = 8 条 message)
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history = history[-8:]
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# ✅ 把用户输入和引导语拼起来
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prompt_question = choose_fallback_topic(user_input, knowledge_docs)
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# ✅ 格式化历史记录
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context_text = "\n".join([
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f"用户:{msg['content']}" if msg['role'] == "user" else f"sophia:{msg['content']}"
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for msg in history
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])
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# ✅ 语义+关键词混合检索,增强语境
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retrieved_docs = hybrid_retrieval(
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query=prompt_question,
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corpus_docs=all_docs,
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faiss_index=index,
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embedding_model=embedding_model,
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k=3
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)
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retrieved_context = "\n".join([doc.page_content for doc in retrieved_docs])
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# ✅ 随机选几条风格示例拼到 Prompt
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example_pairs = dialog_data[:5]
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example_text = "\n".join([f"user:{pair['user']}\nsophia:{pair['sophia']}" for pair in example_pairs])
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# ✅ 构造 Prompt
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prompt = prompt_template.format(
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system=system_prompt,
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examples=example_text,
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context=retrieved_context + "\n" + context_text,
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question=prompt_question
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)
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try:
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except Exception as e:
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reply = f"哎呀出错了:{str(e)}"
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# ✅ 更新对话历史(按 OpenAI 风格)
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history.append({"role": "user", "content": user_input})
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history.append({"role": "assistant", "content": reply})
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return history, history
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+
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import gradio as gr
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import gradio as gr
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import os
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# === 背景图与音乐 URL ===
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background_images = [
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"https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/family.jpg",
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avatar_url = "https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/bean.jpg"
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music1 = "https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/FNG.mp3"
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music2 = "https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/PGY.mp3"
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cake_url = "https://huggingface.co/spaces/Ronaldo1111/Sophia/resolve/main/birthday.jpg"
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# ==== Gradio 页面 ====
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown("# 🎀Horse And 7 Agent🎀")
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gr.Markdown("欢迎来到 **豌豆的家**,相信你也是马+7大家庭中的一员。我能在家里拉粑粑吗!💬")
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state = gr.State([{"role": "assistant", "content": "勾巴,我是豌豆,你想聊啥?"}])
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btn = gr.Button("投喂")
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# === 页面美化部分 ===
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gr.HTML(f"""
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<style>
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body {{
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margin: 0;
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animation: backgroundCycle 60s infinite;
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background-size: cover;
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background-position: center;
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transition: background-image 1s ease-in-out;
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}}
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@keyframes backgroundCycle {{
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{''.join([f"{i*10}% {{ background-image: url({img}); }}\n" for i, img in enumerate(background_images)])}
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}}
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.gr-chatbot {{
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background: rgba(255, 255, 255, 0.5); /* 半透明 */
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border-radius: 16px;
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padding: 10px;
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}}
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#sophia-avatar {{
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position: fixed;
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top: 60px;
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left: 30px;
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width: 80px;
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height: 80px;
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border-radius: 50%;
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z-index: 9999;
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cursor: move;
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}}
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#birthday-cake {{
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position: fixed;
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bottom: 10px;
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right: 10px;
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width: 80px;
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animation: bounce 2s infinite ease-in-out alternate;
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z-index: 9999;
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}}
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@keyframes bounce {{
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0% {{ transform: translateY(0px); }}
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100% {{ transform: translateY(-20px); }}
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}}
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</style>
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<img id="sophia-avatar" src="{avatar_url}" />
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<img id="birthday-cake" src="{cake_url}" />
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<canvas id="fireworks" style="position:fixed; top:0; left:0; width:100vw; height:100vh; pointer-events:none; z-index:999;"></canvas>
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<audio id="bg-music" autoplay loop>
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<source src="{music1}" type="audio/mpeg">
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<source src="{music2}" type="audio/mpeg">
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</audio>
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<script>
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// 音乐自动切换
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const musicList = ["{music1}", "{music2}"];
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let currentTrack = 0;
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const audio = document.getElementById("bg-music");
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audio.src = musicList[currentTrack];
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audio.play();
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}});
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// 拖动头像
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const avatar = document.getElementById("sophia-avatar");
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avatar.onmousedown = function(e) {{
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const offsetX = e.clientX - avatar.offsetLeft;
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const offsetY = e.clientY - avatar.offsetTop;
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function move(e) {{
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avatar.style.left = (e.clientX - offsetX) + 'px';
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avatar.style.top = (e.clientY - offsetY) + 'px';
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}}
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document.addEventListener('mousemove', move);
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document.addEventListener('mouseup', () => {{
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document.removeEventListener('mousemove', move);
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}}, {{ once: true }});
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}};
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// 简易烟花(伪特效)
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const canvas = document.getElementById("fireworks");
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const ctx = canvas.getContext("2d");
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canvas.width = window.innerWidth;
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canvas.height = window.innerHeight;
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function firework() {{
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const x = Math.random() * canvas.width;
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const y = Math.random() * canvas.height;
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for (let i = 0; i < 30; i++) {{
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setTimeout(() => {{
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ctx.beginPath();
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ctx.arc(x, y, Math.random() * 3 + 2, 0, Math.PI * 2);
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ctx.fillStyle = `hsl(${Math.random() * 360}, 100%, 60%)`;
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ctx.fill();
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}}, i * 20);
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}}
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}}
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setInterval(firework, 1500);
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</script>
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""")
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# === 按钮绑定 ===
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btn.click(chat_with_log, inputs=[msg, state], outputs=[chatbot, state])
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msg.submit(chat_with_log, inputs=[msg, state], outputs=[chatbot, state])
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demo.launch()
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