成品展示

一、首先去注册个账号然后申请个API keys

二、引入依赖 

        <dependency><groupId>cn.bigmodel.openapi</groupId><artifactId>oapi-java-sdk</artifactId><version>release-V4-2.3.0</version></dependency><dependency><groupId>com.alibaba</groupId><artifactId>fastjson</artifactId><version>1.2.75</version></dependency>

三、后端代码 

此处参考的是这位大佬的文章Java(Spring boot)集成智谱AI聊天(简易版)_智谱ai问答springboot-CSDN博客

 ZhipuAIService.java:

import com.fasterxml.jackson.core.type.TypeReference;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.zhipu.oapi.ClientV4;
import com.zhipu.oapi.Constants;
import com.zhipu.oapi.service.v4.model.ChatCompletionRequest;
import com.zhipu.oapi.service.v4.model.ChatMessage;
import com.zhipu.oapi.service.v4.model.ModelApiResponse;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
@Service
public class ZhipuAIService {private final ClientV4 client;private final ObjectMapper objectMapper;public ZhipuAIService(@Value("${bigmodel.api.key}") String apiKey) {this.client = new ClientV4.Builder(apiKey).build();this.objectMapper = new ObjectMapper();}//构建信息public String invokeChatCompletion(String userMessage) {List<ChatMessage> messages = new ArrayList<>();ChatMessage chatMessage = new ChatMessage("user", userMessage);messages.add(chatMessage);ChatCompletionRequest chatCompletionRequest = ChatCompletionRequest.builder()//表明使用的模型.model("glm-4-flash")//表示不使用流式响应.stream(Boolean.FALSE).invokeMethod(Constants.invokeMethod).messages(messages).requestId("request-id-" + System.currentTimeMillis()).build();ModelApiResponse response = client.invokeModelApi(chatCompletionRequest);try {// 将response的数据转换为MapString jsonString = objectMapper.writeValueAsString(response.getData());Map<String, Object> dataMap = objectMapper.readValue(jsonString, new TypeReference<Map<String, Object>>() {});// 提取内容if (dataMap.containsKey("choices")) {List<Map<String, Object>> choices = (List<Map<String, Object>>) dataMap.get("choices");if (!choices.isEmpty()) {Map<String, Object> firstChoice = choices.get(0);Map<String, Object> message = (Map<String, Object>) firstChoice.get("message");if (message != null && message.containsKey("content")) {return (String) message.get("content");}}}return "找不到内容";} catch (Exception e) {return "响应错误";}}
}

 ZhipuAiController.java:

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;import java.io.UnsupportedEncodingException;
import java.net.URLDecoder;
import java.nio.charset.StandardCharsets;@RestController
@RequestMapping("/app/chat")
public class ZhipuAiController {@Autowiredprivate final ZhipuAIService zhipuAiService;public ZhipuAiController(ZhipuAIService zhipuAiService) {this.zhipuAiService = zhipuAiService;}@PostMapping("/ask")public String chat(@RequestBody String userInput) {try {// 对接收到的userInput进行URL解码userInput = URLDecoder.decode(userInput, StandardCharsets.UTF_8.toString());} catch (UnsupportedEncodingException e) {return "解码错误";}String response = zhipuAiService.invokeChatCompletion(userInput);return response;}}

 四、前端代码

请求路径要换成自己的

<template><div class="ai-chat"><!-- 页面栏 --><van-nav-bar title="文章详情" left-text="返回" right-text="按钮" left-arrow @click-left="onClickLeft" /><div class="ai-chat-container"><div class="title">街健佳AI助手</div><el-card class="chat-card"><div v-for="(message, index) in messages" :key="index" class="message"><div :class="{ 'user-message': message.role === 'USER', 'ai-message': message.role === 'AI' }">{{ message.content }}</div></div><div v-if="isAnalyzing" class="analyzing">分析中...</div><div class="input-wrapper"><el-inputtype="textarea"v-model="inputMessage":rows="2"placeholder="请输入内容"class="chat-input"@keyup.enter.native="sendMessage"></el-input><el-button type="primary" @click="sendMessage">发送</el-button></div></el-card></div></div></template><script>import axios from 'axios';import { MessageBox } from 'element-ui';import { API_URL } from '../../config/config';export default {data() {return {messages: [],inputMessage: '',isAnalyzing: false,};},created() {// 页面加载时发送欢迎消息this.messages.push({ role: 'AI', content: '您好，我是小佳，请问您有什么问题呢？' });},methods: {async sendMessage() {if (this.inputMessage.trim()) {this.messages.push({ role: 'USER', content: this.inputMessage });this.isAnalyzing = true; // 显示“分析中”提示try {const response = await axios.post(API_URL + 'app/chat/ask', { message: this.inputMessage });this.isAnalyzing = false; // 隐藏“分析中”提示if (response.data) {this.messages.push({ role: 'AI', content: response.data });} else {MessageBox.alert('没有收到AI的回复', '提示', { type: 'warning' });}} catch (error) {this.isAnalyzing = false; // 隐藏“分析中”提示MessageBox.alert('发送失败: ' + error.message, '错误', { type: 'error' });}this.inputMessage = '';}},onClickLeft() {this.$router.go(-1);},},};</script><style scoped>.ai-chat {display: flex;flex-direction: column;height: 100vh;}.ai-chat-container {background: linear-gradient(to bottom, #007bff, #ffffff);max-width: 800px;height: calc(100vh - 50px); /* 减去顶部栏的高度 */margin: auto;padding: 20px;border-radius: 8px;box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);overflow: hidden;position: relative;overflow-y: auto; /* 允许垂直滚动 */}.title {position: absolute;top: 10px;left: 50%;transform: translateX(-50%);background-color: #007bff;color: #ffffff;padding: 5px 20px;border-radius: 999px;text-align: center;font-size: 20px;font-weight: bold;box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);}.chat-card {background-color: #fff;border-radius: 6px;box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);padding: 0px;margin-top: 50px;flex: 1;overflow-y: auto;}.message {margin-bottom: 20px;display: flex;align-items: flex-end;}.user-message {background-color: #e6f7ff;border-radius: 4px;padding: 10px;max-width: 60%;margin-left: auto;}.ai-message {background-color: #f3e5fd;border-radius: 4px;padding: 10px;max-width: 70%;margin-right: auto;text-align: left;}.input-wrapper {display: flex;align-items: center;position: fixed;bottom: 0;left: 0;right: 0;background-color: #f9f9f9;padding: 10px;box-shadow: 0 -2px 4px rgba(0, 0, 0, 0.1);}.chat-input {flex-grow: 1;margin-right: 10px;}.el-button {width: auto;padding: 10px 20px;}.analyzing {text-align: center;margin-top: 20px;color: #909399;}</style>

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