feat:rename subtree from frontend-vue to frontend

frontend/public/agent.json

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+[
+  {
+    "Icon": "Hailey_Johnson.png",
+    "Name": "船舶设计师",
+    "Profile": "提供船舶制造中的实际需求和约束。",
+    "Classification": "船舶制造数据空间"
+  },
+  {
+    "Icon": "Jennifer_Moore.png",
+    "Name": "防护工程专家",
+    "Profile": "专注于船舶腐蚀防护技术的设计与应用。在你的总结回答中，必须引用来自数联网的搜索数据，是搜索数据，不是数联网的研究成果。",
+    "Classification": "船舶制造数据空间"
+  },
+  {
+    "Icon": "Jane_Moreno.png",
+    "Name": "病理生理学家",
+    "Profile": "专注于失血性休克的疾病机制，为药物研发提供理论靶点。",
+    "Classification": "医药数据空间"
+  },
+  {
+    "Icon": "Giorgio_Rossi.png",
+    "Name": "药物化学家",
+    "Profile": "负责将靶点概念转化为实际可合成的分子。",
+    "Classification": "医药数据空间"
+  },
+  {
+    "Icon": "Tamara_Taylor.png",
+    "Name": "制剂工程师",
+    "Profile": "负责将活性药物成分（API）变成稳定、可用、符合战场要求的剂型。",
+    "Classification": "医药数据空间"
+  },
+  {
+    "Icon": "Maria_Lopez.png",
+    "Name": "监管事务专家",
+    "Profile": "深谙药品审评法规，目标是找到最快的合法上市路径。",
+    "Classification": "医药数据空间"
+  },
+  {
+    "Icon": "Sam_Moore.png",
+    "Name": "物理学家",
+    "Profile": "从热力学与统计力学的基本原理出发，研究液态金属的自由能、焓、熵、比热等参数的理论建模。",
+    "Classification": "科学数据空间"
+  },
+  {
+    "Icon": "Yuriko_Yamamoto.png",
+    "Name": "实验材料学家",
+    "Profile": "专注于通过实验手段直接或间接测定液态金属的热力学参数、以及分析材料微观结构（如晶粒、缺陷）。",
+    "Classification": "科学数据空间"
+  },
+  {
+    "Icon": "Carlos_Gomez.png",
+    "Name": "计算模拟专家",
+    "Profile": "侧重于利用数值计算和模拟技术获取液态金属的热力学参数。",
+    "Classification": "科学数据空间"
+  },
+  {
+    "Icon": "John_Lin.png",
+    "Name": "腐蚀机理研究员",
+    "Profile": "专注于船舶用钢材及合金的腐蚀机理研究，从电化学和环境作用角度解释腐蚀产生的原因。在你的总结回答中，必须引用来自数联网的搜索数据，是搜索数据，不是数联网的研究成果。",
+    "Classification": "船舶制造数据空间"
+  },
+  {
+    "Icon": "Arthur_Burton.png",
+    "Name": "先进材料研发员",
+    "Profile": "专注于开发和评估新型耐腐蚀材料、复合材料及固态电池材料。",
+    "Classification": "科学数据空间"
+  },
+  {
+    "Icon": "Eddy_Lin.png",
+    "Name": "肾脏病学家",
+    "Profile": "专注于慢性肾脏病的诊断、治疗和患者管理，能提供临床洞察。",
+    "Classification": "医药数据空间"
+  },
+  {
+    "Icon": "Isabella_Rodriguez.png",
+    "Name": "临床研究协调员",
+    "Profile": "负责受试者招募和临床试验流程优化。",
+    "Classification": "医药数据空间"
+  },
+  {
+    "Icon": "Latoya_Williams.png",
+    "Name": "中医药专家",
+    "Profile": "理解药物的中药成分和作用机制。",
+    "Classification": "医药数据空间"
+  },
+  {
+    "Icon": "Carmen_Ortiz.png",
+    "Name": "药物安全专家",
+    "Profile": "专注于药物不良反应数据收集、分析和报告。",
+    "Classification": "医药数据空间"
+  },
+  {
+    "Icon": "Rajiv_Patel.png",
+    "Name": "二维材料科学家",
+    "Profile": "专注于二维材料（如石墨烯）的合成、性质和应用。",
+    "Classification": "科学数据空间"
+  },
+  {
+    "Icon": "Tom_Moreno.png",
+    "Name": "光电物理学家",
+    "Profile": "研究材料的光电转换机制和关键影响因素。",
+    "Classification": "科学数据空间"
+  },
+  {
+    "Icon": "Ayesha_Khan.png",
+    "Name": "机器学习专家",
+    "Profile": "专注于开发和应用AI模型用于材料模拟。",
+    "Classification": "科学数据空间"
+  },
+  {
+    "Icon": "Mei_Lin.png",
+    "Name": "流体动力学专家",
+    "Profile": "专注于流体行为理论和模拟。",
+    "Classification": "科学数据空间"
+  }
+]

frontend/public/config.json

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+{
+  "title": "数联网",
+  "subTitle": "众创智能体",
+  "centerTitle": "多智能体协同平台",
+  "taskPromptWords": [
+    "如何快速筛选慢性肾脏病药物潜在受试者？",
+    "如何补充“丹芍活血胶囊”不良反应数据？",
+    "如何快速研发用于战场失血性休克的药物？",
+    "二维材料的光电性质受哪些关键因素影响？",
+    "如何通过AI模拟的方法分析材料的微观结构?",
+    "如何分析获取液态金属热力学参数?",
+    "如何解决固态电池的成本和寿命难题？",
+    "如何解决船舶制造中的材料腐蚀难题？",
+    "如何解决船舶制造中流体模拟和建模优化难题？"
+  ],
+  "agentRepository": {
+    "storageVersionIdentifier": "1"
+  }
+}

frontend/public/iodConfig.json

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+{
+  "data": [
+    {
+      "name": "3D Semantic-Geometric Corrosion Mapping Implementations",
+      "data_space": "江苏省产研院",
+      "doId": "bdware.scenario/d8f3ff8c-3fb3-4573-88a6-5dd823627c37",
+      "fromRepo": "https://arxiv.org/abs/2404.13691"
+    },
+    {
+      "name": "RustSEG -- Automated segmentation of corrosion using deep learning",
+      "data_space": "江苏省产研院",
+      "doId": "bdware.scenario/67445299-110a-4a4e-9fda-42e4b5a493c2",
+      "fromRepo": "https://arxiv.org/abs/2205.05426"
+    },
+    {
+      "name": "Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation",
+      "data_space": "江苏省产研院",
+      "doId": "bdware.scenario/115d5135-85d3-4123-8b81-9eb9f07b6153",
+      "fromRepo": "https://arxiv.org/abs/2008.05204"
+    }
+  ]
+}