Initial commit: Enriched AI Sentiment & Keywords App

.gitignore

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+target/
+*.class
+.idea/
+*.iml
+.DS_Store

Dockerfile

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+# 使用多阶段构建来减小最终镜像大小
+# 第一阶段：构建应用
+FROM maven:3.9.1-eclipse-temurin-21 AS build
+WORKDIR /app
+COPY pom.xml .
+COPY src ./src
+RUN mvn clean package -DskipTests
+
+# 第二阶段：运行应用
+FROM eclipse-temurin:21-jre
+WORKDIR /app
+COPY --from=build /app/target/*.jar app.jar
+
+# 暴露 Hugging Face Spaces 默认端口
+EXPOSE 7860
+
+# 运行命令
+ENTRYPOINT ["java", "-jar", "app.jar"]

README.md

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+---
+title: "AI 智能文本分析助手"
+emoji: "🧠"
+colorFrom: "indigo"
+colorTo: "purple"
+sdk: docker
+pinned: false
+short_description: "基于 Spring Boot 3 & DeepSeek AI 驱动的情感分析、关键词提取与对话建议（全中文汉化版）"
+---
+
+# AI 智能文本分析助手 (AI Text Analysis Pro)
+
+这是一个使用 **Spring Boot 3** 和 **Java 21** 开发的高级文本分析应用，集成了 **DeepSeek-V3 (SiliconFlow API)**。
+
+## 🌟 核心功能
+
+- **📊 情感倾向分析**：深度分析文本情感，识别积极、消极或中性情绪，并提供专业建议。
+- **🏷️ 核心关键词提取**：自动从长文本中提取最具代表性的 3-5 个关键词。
+- **🕒 智能历史记录**：在当前会话中自动保存分析历史，方便对比查看。
+- **📱 响应式 UI**：适配手机和电脑，提供流畅的中文交互体验。
+
+## 🛠️ 技术实现
+
+- **后端**: Spring Boot 3.4.3, Java 21 (LTS)
+- **AI 引擎**: DeepSeek-V3 (经由 SiliconFlow 高速接口)
+- **前端**: Thymeleaf + Bootstrap 5 + jQuery
+- **容器化**: Docker (多阶段构建)
+- **部署**: 已针对 Hugging Face Spaces 优化 (端口 7860)
+
+## 🚀 快速启动
+
+1. **配置 API Key**：
+   在 `src/main/resources/application.properties` 中填入你的 SiliconFlow API Key。
+
+2. **本地运行**：
+   ```bash
+   mvn spring-boot:run
+   ```
+   访问 `http://localhost:7860`。
+
+3. **Docker 构建**：
+   ```bash
+   docker build -t sentiment-app .
+   docker run -p 7860:7860 sentiment-app
+   ```
+
+## 📄 开源说明
+
+本项目为汉化增强版，旨在提供开箱即用的 Java AI 集成方案。

pom.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
+	<modelVersion>4.0.0</modelVersion>
+	<parent>
+		<groupId>org.springframework.boot</groupId>
+		<artifactId>spring-boot-starter-parent</artifactId>
+		<version>3.4.3</version>
+		<relativePath/> <!-- lookup parent from repository -->
+	</parent>
+	<groupId>com.example</groupId>
+	<artifactId>sentiment-analysis-app</artifactId>
+	<version>0.0.1-SNAPSHOT</version>
+	<name>sentiment-analysis-app</name>
+	<description>基于 Spring Boot 的情感分析与 AI 对话应用</description>
+	<properties>
+		<java.version>21</java.version>
+	</properties>
+	<dependencies>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-starter-thymeleaf</artifactId>
+		</dependency>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-starter-web</artifactId>
+		</dependency>
+		<dependency>
+			<groupId>org.springframework.boot</groupId>
+			<artifactId>spring-boot-starter-test</artifactId>
+			<scope>test</scope>
+		</dependency>
+	</dependencies>
+
+	<build>
+		<plugins>
+			<plugin>
+				<groupId>org.springframework.boot</groupId>
+				<artifactId>spring-boot-maven-plugin</artifactId>
+			</plugin>
+		</plugins>
+	</build>
+</project>

src/main/java/com/example/sentiment/Application.java

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+package com.example.sentiment;
+
+import org.springframework.boot.SpringApplication;
+import org.springframework.boot.autoconfigure.SpringBootApplication;
+
+/**
+ * Spring Boot 应用程序入口点
+ * 情感分析与 AI 对话助手
+ */
+@SpringBootApplication
+public class Application {
+
+    public static void main(String[] args) {
+        // 启动 Spring Boot 应用
+        SpringApplication.run(Application.class, args);
+    }
+}

src/main/java/com/example/sentiment/controller/ChatController.java

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+package com.example.sentiment.controller;
+
+import com.example.sentiment.service.SentimentService;
+import jakarta.servlet.http.HttpSession;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.stereotype.Controller;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.ResponseBody;
+
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Web 控制器
+ * 处理页面渲染、情感分析、关键词提取和历史记录
+ */
+@Controller
+public class ChatController {
+
+    @Autowired
+    private SentimentService sentimentService;
+
+    @GetMapping("/")
+    public String index() {
+        return "index";
+    }
+
+    /**
+     * 进行情感分析
+     */
+    @PostMapping("/analyze")
+    @ResponseBody
+    public Map<String, String> analyze(@RequestParam String text, HttpSession session) {
+        Map<String, String> result = new HashMap<>();
+        if (text == null || text.trim().isEmpty()) {
+            result.put("error", "请输入内容后再试。");
+            return result;
+        }
+
+        String analysis = sentimentService.analyzeSentiment(text);
+        saveHistory(session, "情感分析", text, analysis);
+        
+        result.put("result", analysis);
+        return result;
+    }
+
+    /**
+     * 提取关键词
+     */
+    @PostMapping("/keywords")
+    @ResponseBody
+    public Map<String, String> keywords(@RequestParam String text, HttpSession session) {
+        Map<String, String> result = new HashMap<>();
+        if (text == null || text.trim().isEmpty()) {
+            result.put("error", "请输入内容后再试。");
+            return result;
+        }
+
+        String keywords = sentimentService.extractKeywords(text);
+        saveHistory(session, "关键词提取", text, keywords);
+
+        result.put("result", keywords);
+        return result;
+    }
+
+    /**
+     * 获取当前会话的历史记录
+     */
+    @GetMapping("/history")
+    @ResponseBody
+    public List<Map<String, String>> getHistory(HttpSession session) {
+        List<Map<String, String>> history = (List<Map<String, String>>) session.getAttribute("history");
+        return history != null ? history : new ArrayList<>();
+    }
+
+    /**
+     * 清空历史记录
+     */
+    @PostMapping("/clearHistory")
+    @ResponseBody
+    public String clearHistory(HttpSession session) {
+        session.removeAttribute("history");
+        return "success";
+    }
+
+    /**
+     * 私有方法：保存操作历史到 Session
+     */
+    private void saveHistory(HttpSession session, String type, String input, String output) {
+        List<Map<String, String>> history = (List<Map<String, String>>) session.getAttribute("history");
+        if (history == null) {
+            history = new ArrayList<>();
+        }
+        
+        Map<String, String> entry = new HashMap<>();
+        entry.put("type", type);
+        entry.put("input", input.length() > 50 ? input.substring(0, 47) + "..." : input);
+        entry.put("output", output);
+        
+        // 只保留最近 5 条
+        if (history.size() >= 5) {
+            history.remove(0);
+        }
+        history.add(entry);
+        session.setAttribute("history", history);
+    }
+}

src/main/java/com/example/sentiment/model/ChatRequest.java

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+package com.example.sentiment.model;
+
+import java.util.List;
+
+/**
+ * SiliconFlow API 请求模型
+ */
+public class ChatRequest {
+    private String model;
+    private List<Message> messages;
+    private Double temperature;
+
+    public ChatRequest() {}
+
+    public ChatRequest(String model, List<Message> messages, Double temperature) {
+        this.model = model;
+        this.messages = messages;
+        this.temperature = temperature;
+    }
+
+    public String getModel() { return model; }
+    public void setModel(String model) { this.model = model; }
+
+    public List<Message> getMessages() { return messages; }
+    public void setMessages(List<Message> messages) { this.messages = messages; }
+
+    public Double getTemperature() { return temperature; }
+    public void setTemperature(Double temperature) { this.temperature = temperature; }
+
+    public static class Message {
+        private String role;
+        private String content;
+
+        public Message() {}
+
+        public Message(String role, String content) {
+            this.role = role;
+            this.content = content;
+        }
+
+        public String getRole() { return role; }
+        public void setRole(String role) { this.role = role; }
+
+        public String getContent() { return content; }
+        public void setContent(String content) { this.content = content; }
+    }
+}

src/main/java/com/example/sentiment/model/ChatResponse.java

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+package com.example.sentiment.model;
+
+import java.util.List;
+
+/**
+ * SiliconFlow API 响应模型
+ */
+public class ChatResponse {
+    private List<Choice> choices;
+
+    public ChatResponse() {}
+
+    public ChatResponse(List<Choice> choices) {
+        this.choices = choices;
+    }
+
+    public List<Choice> getChoices() { return choices; }
+    public void setChoices(List<Choice> choices) { this.choices = choices; }
+
+    public static class Choice {
+        private Message message;
+
+        public Choice() {}
+
+        public Choice(Message message) {
+            this.message = message;
+        }
+
+        public Message getMessage() { return message; }
+        public void setMessage(Message message) { this.message = message; }
+    }
+
+    public static class Message {
+        private String role;
+        private String content;
+
+        public Message() {}
+
+        public Message(String role, String content) {
+            this.role = role;
+            this.content = content;
+        }
+
+        public String getRole() { return role; }
+        public void setRole(String role) { this.role = role; }
+
+        public String getContent() { return content; }
+        public void setContent(String content) { this.content = content; }
+    }
+}

src/main/java/com/example/sentiment/service/SentimentService.java

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+package com.example.sentiment.service;
+
+import com.example.sentiment.model.ChatRequest;
+import com.example.sentiment.model.ChatResponse;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.http.HttpEntity;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.MediaType;
+import org.springframework.stereotype.Service;
+import org.springframework.web.client.RestTemplate;
+
+import java.util.ArrayList;
+import java.util.List;
+
+/**
+ * 情感分析与 AI 对话服务
+ * 负责与 SiliconFlow API 通信，支持多种分析模式
+ */
+@Service
+public class SentimentService {
+
+    @Value("${siliconflow.api.key}")
+    private String apiKey;
+
+    @Value("${siliconflow.api.url}")
+    private String apiUrl;
+
+    @Value("${siliconflow.model}")
+    private String model;
+
+    private final RestTemplate restTemplate = new RestTemplate();
+
+    /**
+     * 调用 AI 模型进行对话或分析
+     * @param prompt 用户输入
+     * @param systemPrompt 系统提示词，定义分析模式
+     * @return AI 响应内容
+     */
+    public String callAi(String prompt, String systemPrompt) {
+        try {
+            HttpHeaders headers = new HttpHeaders();
+            headers.setContentType(MediaType.APPLICATION_JSON);
+            headers.setBearerAuth(apiKey);
+
+            List<ChatRequest.Message> messages = new ArrayList<>();
+            messages.add(new ChatRequest.Message("system", systemPrompt));
+            messages.add(new ChatRequest.Message("user", prompt));
+
+            ChatRequest request = new ChatRequest(model, messages, 0.7);
+
+            HttpEntity<ChatRequest> entity = new HttpEntity<>(request, headers);
+            ChatResponse response = restTemplate.postForObject(apiUrl, entity, ChatResponse.class);
+
+            if (response != null && response.getChoices() != null && !response.getChoices().isEmpty()) {
+                return response.getChoices().get(0).getMessage().getContent();
+            }
+            return "抱歉，AI 响应为空。";
+        } catch (Exception e) {
+            return "AI 调用出错：" + e.getMessage();
+        }
+    }
+
+    /**
+     * 进行情感分析
+     */
+    public String analyzeSentiment(String prompt) {
+        String systemPrompt = "你是一个专业的情感分析助手。请分析用户输入的情感倾向（积极、消极或中性），并给出简短的建议。请始终使用中文回复。";
+        return callAi(prompt, systemPrompt);
+    }
+
+    /**
+     * 提取关键词
+     */
+    public String extractKeywords(String prompt) {
+        String systemPrompt = "你是一个语言专家。请从用户提供的文本中提取出最重要的 3-5 个关键词，并以列表形式展示。请始终使用中文回复。";
+        return callAi(prompt, systemPrompt);
+    }
+}

src/main/resources/application.properties

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+# 应用名称
+spring.application.name=sentiment-analysis-app
+# 服务器端口 (Hugging Face Spaces 默认 7860)
+server.port=7860
+
+# SiliconFlow API 配置
+siliconflow.api.key=sk-uuejewptzohwsbbutfnrkbcloaqxydjmxbeqptwphnhiuopl
+siliconflow.api.url=https://api.siliconflow.cn/v1/chat/completions
+siliconflow.model=deepseek-ai/DeepSeek-V3
+
+# Thymeleaf 缓存配置（开发环境关闭）
+spring.thymeleaf.cache=false

src/main/resources/templates/index.html

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+<!DOCTYPE html>
+<html xmlns:th="http://www.thymeleaf.org" lang="zh-CN">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>AI 智能文本分析助手</title>
+    <link href="https://cdn.bootcdn.net/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet">
+    <style>
+        :root {
+            --primary-color: #4a90e2;
+            --secondary-color: #f5f7fa;
+        }
+        body {
+            background-color: #f0f2f5;
+            font-family: 'PingFang SC', 'Hiragino Sans GB', 'Microsoft YaHei', sans-serif;
+        }
+        .main-card {
+            border: none;
+            border-radius: 20px;
+            box-shadow: 0 10px 30px rgba(0,0,0,0.08);
+            overflow: hidden;
+        }
+        .header-gradient {
+            background: linear-gradient(135deg, #4a90e2 0%, #357abd 100%);
+            color: white;
+            padding: 40px 20px;
+        }
+        .nav-tabs .nav-link {
+            border: none;
+            color: #666;
+            padding: 12px 25px;
+            font-weight: 500;
+        }
+        .nav-tabs .nav-link.active {
+            color: var(--primary-color);
+            border-bottom: 3px solid var(--primary-color);
+            background: none;
+        }
+        .result-area {
+            background-color: white;
+            border-radius: 12px;
+            padding: 25px;
+            border: 1px solid #e1e4e8;
+            min-height: 100px;
+            margin-top: 20px;
+        }
+        .history-item {
+            background-color: white;
+            border-radius: 10px;
+            padding: 15px;
+            margin-bottom: 15px;
+            border-left: 4px solid var(--primary-color);
+            transition: transform 0.2s;
+        }
+        .history-item:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 4px 12px rgba(0,0,0,0.05);
+        }
+        .badge-type {
+            font-size: 0.75rem;
+            padding: 4px 8px;
+            border-radius: 4px;
+            background-color: #eef2f7;
+            color: #555;
+        }
+        #loading { display: none; }
+    </style>
+</head>
+<body>
+
+<div class="container py-5">
+    <div class="row justify-content-center">
+        <div class="col-lg-9">
+            <div class="card main-card mb-4">
+                <div class="header-gradient text-center">
+                    <h1 class="display-6 fw-bold mb-2">AI 智能文本分析助手</h1>
+                    <p class="lead mb-0">情感分析 · 关键词提取 · 智能建议</p>
+                </div>
+                
+                <div class="card-body p-4">
+                    <div class="mb-4">
+                        <label for="textInput" class="form-label fw-bold">请输入待分析的文本内容：</label>
+                        <textarea class="form-control" id="textInput" rows="5" placeholder="在此输入文字，例如：最近工作压力有点大，但看到同事们的进步我也感到很欣慰..."></textarea>
+                    </div>
+                    
+                    <div class="row g-3">
+                        <div class="col-md-6">
+                            <button class="btn btn-primary w-100 py-3 fw-bold" id="analyzeBtn">
+                                <span class="btn-text">🔍 情感倾向分析</span>
+                            </button>
+                        </div>
+                        <div class="col-md-6">
+                            <button class="btn btn-outline-primary w-100 py-3 fw-bold" id="keywordsBtn">
+                                <span class="btn-text">🏷️ 提取核心关键词</span>
+                            </button>
+                        </div>
+                    </div>
+
+                    <div id="loading" class="text-center mt-4">
+                        <div class="spinner-border text-primary" role="status"></div>
+                        <p class="mt-2 text-muted">AI 正在思考中，请稍候...</p>
+                    </div>
+
+                    <div id="resultBox" style="display: none;">
+                        <div class="result-area mt-4">
+                            <div class="d-flex justify-content-between align-items-center mb-3">
+                                <h5 class="mb-0 text-primary fw-bold" id="resultTitle">分析结果</h5>
+                                <button class="btn btn-sm btn-light" onclick="$('#resultBox').hide()">关闭</button>
+                            </div>
+                            <div id="analysisResult" class="lh-lg"></div>
+                        </div>
+                    </div>
+                </div>
+            </div>
+
+            <!-- 历史记录部分 -->
+            <div class="card main-card">
+                <div class="card-header bg-white py-3 d-flex justify-content-between align-items-center">
+                    <h5 class="mb-0 fw-bold">🕒 最近分析历史</h5>
+                    <button class="btn btn-sm btn-outline-danger" id="clearHistoryBtn">清空历史</button>
+                </div>
+                <div class="card-body p-4 bg-light" id="historyList">
+                    <p class="text-center text-muted py-4">暂无历史记录</p>
+                </div>
+            </div>
+        </div>
+    </div>
+</div>
+
+<script src="https://cdn.bootcdn.net/ajax/libs/jquery/3.6.0/jquery.min.js"></script>
+<script>
+    function updateHistory() {
+        $.get('/history', function(data) {
+            const container = $('#historyList');
+            if (data.length === 0) {
+                container.html('<p class="text-center text-muted py-4">暂无历史记录</p>');
+                return;
+            }
+            let html = '';
+            data.reverse().forEach(item => {
+                html += `
+                    <div class="history-item">
+                        <div class="d-flex justify-content-between mb-2">
+                            <span class="badge-type">${item.type}</span>
+                            <small class="text-muted">刚才</small>
+                        </div>
+                        <div class="text-truncate text-muted small mb-2">输入: ${item.input}</div>
+                        <div class="fw-medium">${item.output.replace(/\n/g, '<br>')}</div>
+                    </div>
+                `;
+            });
+            container.html(html);
+        });
+    }
+
+    function processAction(url, title) {
+        const text = $('#textInput').val().trim();
+        if (!text) {
+            alert('请输入内容后再试。');
+            return;
+        }
+
+        $('#loading').show();
+        $('.btn').prop('disabled', true);
+        $('#resultBox').hide();
+
+        $.post(url, { text: text }, function(data) {
+            if (data.error) {
+                alert(data.error);
+            } else {
+                $('#resultTitle').text(title);
+                $('#analysisResult').html(data.result.replace(/\n/g, '<br>'));
+                $('#resultBox').fadeIn();
+                updateHistory();
+            }
+        }).fail(function() {
+            alert('服务器请求失败，请检查后端运行状态。');
+        }).always(function() {
+            $('#loading').hide();
+            $('.btn').prop('disabled', false);
+        });
+    }
+
+    $(document).ready(function() {
+        $('#analyzeBtn').click(() => processAction('/analyze', '📊 情感分析报告'));
+        $('#keywordsBtn').click(() => processAction('/keywords', '🏷️ 核心关键词提取'));
+        
+        $('#clearHistoryBtn').click(function() {
+            $.post('/clearHistory', function() {
+                updateHistory();
+            });
+        });
+
+        updateHistory();
+    });
+</script>
+
+</body>
+</html>