feat(ui): 添加中世纪风格主题到垃圾短信分类器界面
重构整个应用界面，采用中世纪城堡和骑士主题设计： 1. 添加自定义CSS实现中世纪风格配色和样式 2. 重命名所有UI元素为符合主题的术语（如"分类"改为"预言"） 3. 为所有组件添加装饰性边框和阴影效果 4. 更新按钮和交互元素的悬停动画效果 5. 添加主题一致的图标和分隔线设计
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@ -12,81 +12,257 @@ from src.models import train_model, save_model, load_model, compare_models
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# 设置页面配置
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st.set_page_config(
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page_title="垃圾短信分类系统",
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page_icon="📱",
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page_title="垃圾短信分类器",
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page_icon="<EFBFBD>️",
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layout="wide",
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initial_sidebar_state="expanded"
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)
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# 应用标题
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st.title("📱 垃圾短信分类系统")
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# 自定义CSS - 欧洲中世纪风格
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st.markdown("""<style>
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/* 基础样式 */
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body {
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background-color: #1a1a2e;
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color: #e0e0e0;
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font-family: 'Georgia', serif;
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}
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/* 标题样式 */
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.stTitle {
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color: #d4af37;
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font-family: 'Garamond', serif;
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text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.8);
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border-bottom: 2px solid #d4af37;
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padding-bottom: 10px;
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}
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/* 侧边栏样式 */
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.stSidebar {
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background-color: #16213e;
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border-right: 2px solid #d4af37;
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}
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/* 卡片和容器 */
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.stExpander, .stContainer {
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background-color: #0f3460;
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border: 1px solid #d4af37;
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border-radius: 8px;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);
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}
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/* 按钮样式 */
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.stButton > button {
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background-color: #c8102e;
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color: #ffffff;
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border: 2px solid #d4af37;
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border-radius: 8px;
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font-family: 'Georgia', serif;
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font-weight: bold;
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padding: 10px 20px;
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transition: all 0.3s ease;
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}
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.stButton > button:hover {
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background-color: #8b0000;
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color: #d4af37;
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);
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transform: translateY(-2px);
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}
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/* 输入框样式 */
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.stTextArea, .stSelectbox > div {
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background-color: #16213e;
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border: 2px solid #d4af37;
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border-radius: 8px;
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color: #e0e0e0;
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font-family: 'Georgia', serif;
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}
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/* 标题和文本样式 */
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h1, h2, h3, h4, h5, h6 {
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color: #d4af37;
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font-family: 'Garamond', serif;
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}
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/* 分隔线 */
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hr {
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border: 1px solid #d4af37;
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}
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/* 信息卡片 */
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.stAlert {
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background-color: #0f3460;
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border: 2px solid #d4af37;
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border-radius: 8px;
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color: #e0e0e0;
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}
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/* 页脚 */
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footer {
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color: #d4af37;
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font-family: 'Georgia', serif;
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text-align: center;
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padding: 20px;
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border-top: 2px solid #d4af37;
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margin-top: 40px;
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}
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</style>""", unsafe_allow_html=True)
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# 应用标题 - 中世纪风格
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st.markdown("""
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<div style="text-align: center; padding: 20px; border: 3px solid #d4af37; border-radius: 10px; background-color: #16213e; box-shadow: 0 8px 16px rgba(0, 0, 0, 0.8);">
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<h1 style="color: #d4af37; font-family: 'Garamond', serif; text-shadow: 3px 3px 6px rgba(0, 0, 0, 0.8); margin: 0;">
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⚔️ 中世纪垃圾短信分类器
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</h1>
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<p style="color: #e0e0e0; font-style: italic; margin-top: 10px;">
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保护您的通信，抵御垃圾信息的入侵
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</p>
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</div>
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""", unsafe_allow_html=True)
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st.markdown("---")
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# 侧边栏
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# 侧边栏 - 中世纪风格
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with st.sidebar:
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st.header("系统配置")
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st.markdown("""
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<div style="text-align: center; padding: 10px; border-bottom: 2px solid #d4af37; margin-bottom: 20px;">
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<h2 style="color: #d4af37; font-family: 'Garamond', serif; margin: 0;">
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🛡️ 骑士工坊
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</h2>
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<p style="color: #e0e0e0; font-size: 14px; margin: 5px 0 0;">
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系统配置
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</p>
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</div>
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""", unsafe_allow_html=True)
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# 模型选择 - 中世纪风格
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st.markdown("""
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<div style="margin-bottom: 20px;">
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<h3 style="color: #d4af37; font-family: 'Garamond', serif; font-size: 18px;">
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⚔️ 选择武器
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</h3>
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<p style="color: #e0e0e0; font-size: 14px; margin: 5px 0 10px;">
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选择用于抵御垃圾信息的武器
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</p>
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</div>
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""", unsafe_allow_html=True)
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# 模型选择
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model_option = st.selectbox(
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"选择模型",
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label="",
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options=["lightgbm", "logistic_regression"],
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index=0,
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help="选择用于分类的机器学习模型"
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format_func=lambda x: "圣光使者 (LightGBM)" if x == "lightgbm" else "智慧之剑 (Logistic Regression)"
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)
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# 语言选择
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# 语言选择 - 中世纪风格
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st.markdown("""
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<div style="margin-bottom: 20px;">
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<h3 style="color: #d4af37; font-family: 'Garamond', serif; font-size: 18px;">
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📜 选择语言
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</h3>
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<p style="color: #e0e0e0; font-size: 14px; margin: 5px 0 10px;">
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选择预言师的语言
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</p>
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</div>
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""", unsafe_allow_html=True)
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lang_option = st.selectbox(
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"输出语言",
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label="",
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options=["中文", "英文"],
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index=0,
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help="选择分类结果和解释的输出语言"
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index=0
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)
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# 系统说明
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# 系统说明 - 中世纪风格
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st.markdown("---")
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st.header("关于系统")
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st.info(
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"这是一个基于传统机器学习 + LLM + Agent的垃圾短信分类系统。\n"\
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"- 使用LightGBM和Logistic Regression进行分类\n"\
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"- 利用DeepSeek LLM解释分类结果\n"\
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"- 通过Agent实现工具调用和结果整合"
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)
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st.markdown("""
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<div style="text-align: center; padding: 10px; border-bottom: 2px solid #d4af37; margin-bottom: 20px;">
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<h2 style="color: #d4af37; font-family: 'Garamond', serif; margin: 0;">
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🏰 关于城堡
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</h2>
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</div>
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""", unsafe_allow_html=True)
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st.markdown("""
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<div style="background-color: #0f3460; border: 2px solid #d4af37; border-radius: 8px; padding: 15px; color: #e0e0e0; font-family: 'Georgia', serif;">
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<p><strong>🛡️ 城堡防御系统</strong></p>
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<p>这是一座由现代魔法和古老智慧构建的防御城堡：</p>
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<ul>
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<li>💫 使用圣光使者 (LightGBM) 和智慧之剑 (Logistic Regression) 守护</li>
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<li>🧙 由DeepSeek预言师提供智慧解释</li>
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<li>🤖 通过魔法使者 (Agent) 整合所有力量</li>
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</ul>
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<p style="margin-top: 15px; font-size: 14px; font-style: italic;">
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保护您的通信不受垃圾信息的侵袭！
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</p>
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</div>
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""", unsafe_allow_html=True)
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# 主内容区域
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# 主内容区域 - 中世纪风格
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col1, col2 = st.columns([1, 1], gap="large")
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with col1:
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# 短信输入
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st.header("输入短信")
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# 短信输入 - 中世纪风格
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st.markdown("""
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<div style="background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
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<h2 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
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📜 信件输入
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</h2>
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<p style="color: #e0e0e0; text-align: center; font-style: italic;">
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输入需要检查的信件内容
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</p>
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</div>
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""", unsafe_allow_html=True)
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# 单条短信输入
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sms_input = st.text_area(
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"请输入要分类的短信",
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label="",
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height=200,
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placeholder="例如：WINNER!! As a valued network customer you have been selected to receivea £900 prize reward!"
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placeholder="例如：WINNER!! As a valued network customer you have been selected to receivea £900 prize reward!",
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help="输入需要分类的短信内容"
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)
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# 分类按钮
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# 分类按钮 - 中世纪风格
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classify_button = st.button(
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"📊 开始分类",
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"⚔️ 开始检查",
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type="primary",
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use_container_width=True,
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disabled=sms_input.strip() == ""
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)
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# 批量上传功能
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# 批量上传功能 - 中世纪风格
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st.markdown("---")
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st.header("批量分类")
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st.markdown("""
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<div style="background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
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<h2 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
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📦 批量检查
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</h2>
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<p style="color: #e0e0e0; text-align: center; font-style: italic;">
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上传多封信件进行批量检查
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</p>
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</div>
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""", unsafe_allow_html=True)
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uploaded_file = st.file_uploader(
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"上传CSV文件（包含text列）",
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label="",
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type=["csv"],
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help="上传包含短信文本的CSV文件，系统将自动分类"
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help="上传包含短信文本的CSV文件（需要包含text列）"
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)
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# 模型训练功能（可选）
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with st.expander("🔧 模型训练", expanded=False):
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if st.button("重新训练模型"):
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with st.spinner("正在训练模型..."):
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# 模型训练功能（可选） - 中世纪风格
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with st.expander("🔧 锻造武器", expanded=False):
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st.markdown("""
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<div style="background-color: #0f3460; border: 1px solid #d4af37; border-radius: 8px; padding: 15px;">
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<h3 style="color: #d4af37; font-family: 'Garamond', serif; margin-top: 0;">
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铁匠工坊
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</h3>
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<p style="color: #e0e0e0; font-size: 14px;">
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重新锻造您的武器，提升防御能力
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</p>
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</div>
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""", unsafe_allow_html=True)
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if st.button("⚒️ 重新锻造武器"):
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with st.spinner("🔨 铁匠正在锻造武器..."):
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try:
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# 加载和预处理数据
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df = load_data("../data/spam.csv")
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@ -97,9 +273,25 @@ with col1:
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model, params = train_model(train_df, model_type=model_option)
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save_model(model, model_option)
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st.success(f"{model_option} 模型训练完成！")
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st.markdown("""
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<div style="background-color: #0f3460; border: 2px solid #d4af37; border-radius: 8px; padding: 15px; color: #d4af37; font-weight: bold;">
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✨ 武器锻造完成！
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<p style="color: #e0e0e0; font-weight: normal; margin-top: 10px;">
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您的 {} 已准备好进行战斗！
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</p>
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</div>
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"""
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.format("圣光使者 (LightGBM)" if model_option == "lightgbm" else "智慧之剑 (Logistic Regression)"), unsafe_allow_html=True)
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except Exception as e:
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st.error(f"模型训练失败：{e}")
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st.markdown("""
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<div style="background-color: #0f3460; border: 2px solid #c8102e; border-radius: 8px; padding: 15px; color: #c8102e; font-weight: bold;">
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❌ 锻造失败！
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<p style="color: #e0e0e0; font-weight: normal; margin-top: 10px;">
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铁匠遇到了问题：{}
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</p>
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</div>
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"""
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.format(e), unsafe_allow_html=True)
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with col2:
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# 分类结果显示
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@ -115,54 +307,140 @@ with col2:
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# 显示分类结果
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st.subheader("📋 分类标签")
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# 根据标签显示不同的样式
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# 根据标签显示不同的样式 - 中世纪风格
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if result['classification']['label'] == "spam":
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st.error(f"⚠️ 这是一条**垃圾短信**")
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st.markdown("""
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<div style="background-color: #0f3460; border: 2px solid #c8102e; border-radius: 8px; padding: 15px; text-align: center; font-size: 18px; font-weight: bold;">
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⚠️ <span style="color: #c8102e;">这是一封**垃圾信件**！</span>
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<p style="font-size: 14px; font-weight: normal; margin-top: 10px; color: #e0e0e0;">
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建议您谨慎对待此信件！
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</p>
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</div>
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""", unsafe_allow_html=True)
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else:
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st.success(f"✅ 这是一条**正常短信**")
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st.markdown("""
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<div style="background-color: #0f3460; border: 2px solid #228B22; border-radius: 8px; padding: 15px; text-align: center; font-size: 18px; font-weight: bold;">
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✅ <span style="color: #228B22;">这是一封**正常信件**</span>
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<p style="font-size: 14px; font-weight: normal; margin-top: 10px; color: #e0e0e0;">
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此信件安全，可以放心阅读！
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</p>
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</div>
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""", unsafe_allow_html=True)
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# 显示概率
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st.subheader("📊 分类概率")
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# 显示概率 - 中世纪风格
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st.markdown("""
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<div style="margin-top: 20px; background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
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<h3 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
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📊 预言概率
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</h3>
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</div>
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""", unsafe_allow_html=True)
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prob_df = pd.DataFrame.from_dict(
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result['classification']['probability'],
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orient='index',
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columns=['概率']
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)
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prob_df.index = ['垃圾信件', '正常信件'] if lang_option == '中文' else ['Spam', 'Ham']
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st.bar_chart(prob_df)
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# 显示详细结果
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st.subheader("📝 详细结果")
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# 显示详细结果 - 中世纪风格
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st.markdown("""
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<div style="margin-top: 20px; background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
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<h3 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
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<EFBFBD> 详细预言
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</h3>
|
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</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
with st.expander("查看详细分类结果", expanded=True):
|
||||
st.json(result['classification'], expanded=False)
|
||||
|
||||
# 显示解释和建议
|
||||
st.subheader("🤔 结果解释")
|
||||
with st.expander("查看分类解释", expanded=True):
|
||||
st.write(f"**内容摘要**：{result['explanation']['content_summary']}")
|
||||
st.write(f"**分类原因**：{result['explanation']['classification_reason']}")
|
||||
st.write(f"**可信度**：{result['explanation']['confidence_level']} - {result['explanation']['confidence_explanation']}")
|
||||
# 显示解释和建议 - 中世纪风格
|
||||
st.markdown("""
|
||||
<div style="margin-top: 20px; background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
|
||||
<h3 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
|
||||
<EFBFBD> 预言师的解释
|
||||
</h3>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
with st.expander("查看预言解释", expanded=True):
|
||||
st.markdown("""
|
||||
<div style="background-color: #16213e; border: 1px solid #d4af37; border-radius: 8px; padding: 15px; color: #e0e0e0;">
|
||||
<p><strong style="color: #d4af37;">📝 内容摘要</strong>：{}</p>
|
||||
<p><strong style="color: #d4af37;">⚖️ 预言原因</strong>：{}</p>
|
||||
<p><strong style="color: #d4af37;">🔮 可信度</strong>：{} - {}</p>
|
||||
</div>
|
||||
"""
|
||||
.format(
|
||||
result['explanation']['content_summary'],
|
||||
result['explanation']['classification_reason'],
|
||||
result['explanation']['confidence_level'],
|
||||
result['explanation']['confidence_explanation']
|
||||
), unsafe_allow_html=True)
|
||||
|
||||
st.markdown("""
|
||||
<div style="margin-top: 20px; background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
|
||||
<h3 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
|
||||
💡 行动建议
|
||||
</h3>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
suggestion_html = """
|
||||
<div style="background-color: #16213e; border: 1px solid #d4af37; border-radius: 8px; padding: 15px;">
|
||||
<ol style="color: #e0e0e0; list-style-type: decimal; padding-left: 20px;">
|
||||
"""
|
||||
|
||||
st.subheader("💡 行动建议")
|
||||
for i, suggestion in enumerate(result['explanation']['suggestions']):
|
||||
st.write(f"{i+1}. {suggestion}")
|
||||
suggestion_html += f"<li style='margin-bottom: 10px;'>{suggestion}</li>"
|
||||
|
||||
suggestion_html += """
|
||||
</ol>
|
||||
</div>
|
||||
"""
|
||||
|
||||
st.markdown(suggestion_html, unsafe_allow_html=True)
|
||||
|
||||
except Exception as e:
|
||||
st.error(f"分类失败：{e}")
|
||||
st.markdown("""
|
||||
<div style="background-color: #0f3460; border: 2px solid #c8102e; border-radius: 8px; padding: 15px; color: #c8102e;">
|
||||
❌ 预言失败！
|
||||
<p style="color: #e0e0e0; margin-top: 10px;">
|
||||
预言师遇到了问题：{}
|
||||
</p>
|
||||
</div>
|
||||
"""
|
||||
.format(e), unsafe_allow_html=True)
|
||||
|
||||
# 批量分类结果
|
||||
# 批量分类结果 - 中世纪风格
|
||||
if uploaded_file is not None:
|
||||
with st.spinner("正在批量分类..."):
|
||||
with st.spinner("🧙♂️ 预言师正在批量解析信件..."):
|
||||
try:
|
||||
# 读取上传的文件
|
||||
df = pd.read_csv(uploaded_file)
|
||||
|
||||
if "text" not in df.columns:
|
||||
st.error("CSV文件必须包含'text'列")
|
||||
st.markdown("""
|
||||
<div style="background-color: #0f3460; border: 2px solid #c8102e; border-radius: 8px; padding: 15px; color: #c8102e;">
|
||||
❌ 预言失败！
|
||||
<p style="color: #e0e0e0; margin-top: 10px;">
|
||||
信件文件必须包含'text'列
|
||||
</p>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
else:
|
||||
# 限制处理数量
|
||||
max_rows = 100
|
||||
if len(df) > max_rows:
|
||||
st.warning(f"文件包含 {len(df)} 条记录，仅处理前 {max_rows} 条")
|
||||
st.markdown("""
|
||||
<div style="background-color: #0f3460; border: 2px solid #d4af37; border-radius: 8px; padding: 15px; color: #d4af37;">
|
||||
⚠️ 警告
|
||||
<p style="color: #e0e0e0; margin-top: 10px;">
|
||||
信件文件包含 {len(df)} 封信件，预言师将只解析前 {max_rows} 封
|
||||
</p>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
df = df.head(max_rows)
|
||||
|
||||
# 批量分类
|
||||
@ -181,41 +459,63 @@ with col2:
|
||||
# 转换为DataFrame
|
||||
results_df = pd.DataFrame(results)
|
||||
|
||||
# 显示结果统计
|
||||
st.subheader("📊 分类统计")
|
||||
# 显示结果统计 - 中世纪风格
|
||||
st.markdown("""
|
||||
<div style="margin-top: 20px; background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
|
||||
<h3 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
|
||||
📊 预言统计
|
||||
</h3>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
label_counts = results_df["label"].value_counts()
|
||||
label_counts.index = label_counts.index.map({"spam": "垃圾信件", "ham": "正常信件"})
|
||||
st.bar_chart(label_counts)
|
||||
|
||||
# 显示结果表格
|
||||
st.subheader("📋 分类结果")
|
||||
# 显示结果表格 - 中世纪风格
|
||||
st.markdown("""
|
||||
<div style="margin-top: 20px; background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
|
||||
<h3 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
|
||||
<EFBFBD> 预言结果
|
||||
</h3>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
st.dataframe(
|
||||
results_df,
|
||||
use_container_width=True,
|
||||
column_config={
|
||||
"text": st.column_config.TextColumn("短信内容", width="medium"),
|
||||
"label": st.column_config.TextColumn("分类标签"),
|
||||
"text": st.column_config.TextColumn("信件内容", width="medium"),
|
||||
"label": st.column_config.TextColumn("预言标签"),
|
||||
"spam_probability": st.column_config.ProgressColumn(
|
||||
"垃圾短信概率",
|
||||
"垃圾信件概率",
|
||||
format="%.2f",
|
||||
min_value=0.0,
|
||||
max_value=1.0
|
||||
),
|
||||
"ham_probability": st.column_config.ProgressColumn(
|
||||
"正常短信概率",
|
||||
"正常信件概率",
|
||||
format="%.2f",
|
||||
min_value=0.0,
|
||||
max_value=1.0
|
||||
),
|
||||
"content_summary": st.column_config.TextColumn("内容摘要", width="medium"),
|
||||
"classification_reason": st.column_config.TextColumn("分类原因", width="medium")
|
||||
"classification_reason": st.column_config.TextColumn("预言原因", width="medium")
|
||||
}
|
||||
)
|
||||
|
||||
# 下载结果
|
||||
st.subheader("💾 下载结果")
|
||||
# 下载结果 - 中世纪风格
|
||||
st.markdown("""
|
||||
<div style="margin-top: 20px; background-color: #0f3460; border: 2px solid #d4af37; border-radius: 10px; padding: 20px; box-shadow: 0 4px 8px rgba(0, 0, 0, 0.5);">
|
||||
<h3 style="color: #d4af37; font-family: 'Garamond', serif; text-align: center; border-bottom: 1px solid #d4af37; padding-bottom: 10px;">
|
||||
💾 保存预言
|
||||
</h3>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
csv = results_df.to_csv(index=False).encode('utf-8')
|
||||
st.download_button(
|
||||
label="下载分类结果 (CSV)",
|
||||
label="📄 下载预言结果",
|
||||
data=csv,
|
||||
file_name="spam_classification_results.csv",
|
||||
mime="text/csv",
|
||||
@ -223,11 +523,28 @@ with col2:
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
st.error(f"批量分类失败：{e}")
|
||||
st.markdown("""
|
||||
<div style="background-color: #0f3460; border: 2px solid #c8102e; border-radius: 8px; padding: 15px; color: #c8102e;">
|
||||
❌ 预言失败！
|
||||
<p style="color: #e0e0e0; margin-top: 10px;">
|
||||
预言师遇到了问题：{}
|
||||
</p>
|
||||
</div>
|
||||
"""
|
||||
.format(e), unsafe_allow_html=True)
|
||||
|
||||
# 页脚
|
||||
# 页脚 - 中世纪风格
|
||||
st.markdown("---")
|
||||
st.markdown(
|
||||
"<center>© 2026 垃圾短信分类系统 | 基于传统机器学习 + LLM + Agent</center>",
|
||||
unsafe_allow_html=True
|
||||
)
|
||||
st.markdown("""
|
||||
<div style="text-align: center; padding: 20px; border-top: 2px solid #d4af37; margin-top: 40px;">
|
||||
<h3 style="color: #d4af37; font-family: 'Garamond', serif; margin-bottom: 10px;">
|
||||
🏰 中世纪垃圾短信防御城堡
|
||||
</h3>
|
||||
<p style="color: #e0e0e0; font-family: 'Georgia', serif; font-size: 14px;">
|
||||
© 2026 由骑士团建造 | 基于传统魔法 + LLM 预言 + Agent 使者
|
||||
</p>
|
||||
<p style="color: #d4af37; font-size: 12px; margin-top: 10px; font-style: italic;">
|
||||
保护您的通信不受垃圾信息的侵袭！
|
||||
</p>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
Loading…
Reference in New Issue
Block a user