自己的网页加一个搜索框，调用deepseek的API

一切源于一个学习黑马程序员视频的突发奇想
在网页悬浮一个搜索按钮，点击可以实现调用deepseek文本模型回答你的问题

前端实现

前端使用vue实现的

首先是整体页面：AIWidget.vue

<template><div><!-- 悬浮 AI 按钮 --><el-button class="floating-button" @click="dialogVisible = true"><el-icon><Search /></el-icon></el-button><!-- AI 搜索框 --><el-dialog v-model="dialogVisible" title="AI 搜索" width="400px"><el-inputv-model="query"placeholder="请输入搜索内容..."@keyup.enter="handleSearch"/><el-button type="primary" class="search-btn" @click="handleSearch">搜索</el-button><el-divider /><el-scrollbar height="200px"><ul v-if="results.length"><li v-for="(item, index) in results" :key="index">{{ item }}</li></ul><p v-else class="no-result">暂无搜索结果</p></el-scrollbar></el-dialog></div>
</template><script>
import { ref, watch } from "vue";
import { Search } from "@element-plus/icons-vue";
import { ElMessage } from "element-plus";
import { aiSearch } from "@/api/aiSearch";
import { debounce } from "lodash-es";export default {components: { Search },setup() {const dialogVisible = ref(false);const query = ref("");const results = ref([]);const loading = ref(false);const handleSearch = debounce(async () => {const cleanQuery = query.value.trim().replace(/<[^>]*>?/gm, "");if (!cleanQuery) return;loading.value = true;try {const response = await aiSearch(cleanQuery);results.value = response.data || [];} catch (error) {ElMessage.error("搜索失败：" + error.message);results.value = [];} finally {loading.value = false;}}, 500);watch(dialogVisible, (val) => {if (!val) {query.value = "";results.value = [];}});return { dialogVisible, query, results, loading, handleSearch };},
};
</script><style scoped>
.floating-button {position: fixed;bottom: 20px;right: 20px;width: 50px;height: 50px;font-size: 20px;border-radius: 50%;background-color: #409eff;color: white;display: flex;align-items: center;justify-content: center;box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2);cursor: pointer;transition: background-color 0.3s;
}.floating-button:hover {background-color: #66b1ff;
}.search-btn {margin-top: 10px;width: 100%;
}.no-result {text-align: center;color: gray;
}
</style>

直接放在src/commpoents下
接下来是JS文件，直接放在 src/api/ 下
aiSearch.js

import request from '@/utils/request';// AI 搜索 API 请求
export function aiSearch(query) {return request({url: '/ai-search',method: 'get',params: { q: query }});
}

为了在每个页面的右下角都显示这个搜索框，我们直接导入组件到App.vue
App.vue

<template><div><router-view /><AIWidget /> <!-- 悬浮 AI 按钮 --></div></template><script setup>
import useSettingsStore from '@/store/modules/settings'
import { handleThemeStyle } from '@/utils/theme'
import AIWidget from "@/components/AIWidget.vue"; // 导入 AI 搜索组件onMounted(() => {nextTick(() => {// 初始化主题样式handleThemeStyle(useSettingsStore().theme)})
})</script>

后端实现

首先在 application.yml 添加配置：

siliconflow:api:url: https://api.siliconflow.cn/v1/chat/completionstoken: your_token_here  # 替换为实际tokenmodel: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B

创建请求/响应 DTO 对象：
AiSearchReq.java

package com.dkd.manage.controller.AI;import com.dkd.common.core.domain.R;
import com.dkd.manage.service.AI.IAiSearchService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;import java.util.List;@RestController
@RequestMapping("/ai-search")
public class AiSearchController {@Autowiredprivate IAiSearchService aiSearchService;@GetMapping("")public R<List<String>> search(@RequestParam String q) {return R.ok(aiSearchService.searchAI(q));}
}

ChatCompletionReq.java

package com.dkd.manage.domain.dto.AI;import lombok.AllArgsConstructor;
import lombok.Data;import java.util.ArrayList;
import java.util.List;@Data
public class ChatCompletionReq {private String model;private List<Message> messages;private boolean stream = false;private int max_tokens = 512;private double temperature = 0.7;private double top_p = 0.7;private int top_k = 50;private double frequency_penalty = 0.5;private int n = 1;private ResponseFormat response_format = new ResponseFormat("text");//private List<Tool> tools = new ArrayList<>();@Data@AllArgsConstructorpublic static class Message {private String role;private String content;}@Data@AllArgsConstructorpublic static class ResponseFormat {private String type;}@Datapublic static class Tool {private String type = "function";private ToolFunction function = new ToolFunction();}@Datapublic static class ToolFunction {private String description = "";private String name = "";private Object parameters = new Object();private boolean strict = false;}
}

ChatCompletionResp.java

package com.dkd.manage.domain.dto.AI;import lombok.Data;import java.util.List;@Data
public class ChatCompletionResp {private List<Choice> choices;@Datapublic static class Choice {private Message message;}@Datapublic static class Message {private String content;}
}

Controller 层：
AiSearchController.java

package com.dkd.manage.controller.AI;import com.dkd.common.core.domain.R;
import com.dkd.manage.service.AI.IAiSearchService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;import java.util.List;@RestController
@RequestMapping("/ai-search")
public class AiSearchController {@Autowiredprivate IAiSearchService aiSearchService;@GetMapping("")public R<List<String>> search(@RequestParam String q) {return R.ok(aiSearchService.searchAI(q));}
}

Service 接口：
IAiSearchService.java

package com.dkd.manage.service.AI;import java.util.List;public interface IAiSearchService {List<String> searchAI(String query);
}

Service 实现：
AiSearchServiceImpl.java

package com.dkd.manage.service.impl;import com.dkd.common.exception.ServiceException;
import com.dkd.manage.domain.dto.AI.ChatCompletionReq;
import com.dkd.manage.domain.dto.AI.ChatCompletionResp;
import com.dkd.manage.service.AI.IAiSearchService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.http.*;
import org.springframework.stereotype.Service;
import org.springframework.web.client.RestTemplate;import java.util.Arrays;
import java.util.Collections;
import java.util.List;@Service
public class IAiSearchServiceImpl implements IAiSearchService {@Value("${siliconflow.api.url}")private String apiUrl;@Value("${siliconflow.api.token}")private String apiToken;@Value("${siliconflow.api.model}")private String model;@Autowiredprivate RestTemplate restTemplate;@Overridepublic List<String> searchAI(String query) {// 1. 构建请求头HttpHeaders headers = new HttpHeaders();headers.setContentType(MediaType.APPLICATION_JSON);headers.setBearerAuth(apiToken);// 2. 构建请求体ChatCompletionReq request = new ChatCompletionReq();request.setModel(model);request.setMessages(Collections.singletonList(new ChatCompletionReq.Message("user", query)));// 3. 发送请求HttpEntity<ChatCompletionReq> entity = new HttpEntity<>(request, headers);ResponseEntity<ChatCompletionResp> response = restTemplate.exchange(apiUrl,HttpMethod.POST,entity,ChatCompletionResp.class);// 4. 处理响应if (response.getStatusCode().is2xxSuccessful() && response.getBody() != null) {String content = response.getBody().getChoices().get(0).getMessage().getContent();return Arrays.asList(content.split("\\n"));}throw new ServiceException("AI 服务调用失败");}
}

配置 RestTemplate（如果尚未配置）：
RestTemplateConfig.java
放在framework/src/main/java/com/

package com.dkd.framework.config;import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;@Configuration
public class RestTemplateConfig {@Beanpublic RestTemplate restTemplate() {return new RestTemplate();}
}