一,前提准备本地ai模型
1,首先需要去ollama官网下载开源ai到本地
网址:Ollama
直接下载到本地,然后启动ollama
启动完成后,我们可以在cmd中执行ollama可以看到相关命令行
2, 下载ai moudle
然后我们需要在这个ai中给它下载好一个已有模型给我们自己使用
将命令行运行即可下载。
二, 准备本地代码
1,首先准备pom文件中的相关依赖
<dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId><version>3.2.5</version></dependency><dependency><groupId>io.springboot.ai</groupId><artifactId>spring-ai-ollama</artifactId><version>1.0.3</version></dependency></dependencies>
2,搭建一个简单的springboot框架
启动类
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;@SpringBootApplication
public class Application {public static void main(String[] args) {SpringApplication.run(Application.class, args);}
}
yaml配置
spring:ai:ollama:base-url: localhost:11434
具体代码实现--controller
import com.rojer.delegete.OllamaDelegete;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;@RestController
public class OllamaController {@Autowired(required=true)OllamaDelegete ollamaDelegete;@GetMapping("/ai/getMsg")public Object getOllame(@RequestParam(value = "msg") String msg) {return ollamaDelegete.getOllame(msg);}@GetMapping("/ai/stream/getMsg")public Object getOllameByStream(@RequestParam(value = "msg") String msg) {return ollamaDelegete.getOllameByStream(msg);}
具体代码实现--impl
import com.rojer.delegete.OllamaDelegete;
import org.springframework.ai.chat.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.ollama.OllamaChatClient;
import org.springframework.ai.ollama.api.OllamaApi;
import org.springframework.ai.ollama.api.OllamaOptions;
import org.springframework.stereotype.Service;
import reactor.core.publisher.Flux;import java.util.List;
import java.util.stream.Collectors;@Service
public class OllamaImpl implements OllamaDelegete {OllamaApi ollamaApi;OllamaChatClient chatClient;{ // 实例化ollamaollamaApi = new OllamaApi();OllamaOptions options = new OllamaOptions();options.setModel("llama3");chatClient = new OllamaChatClient(ollamaApi).withDefaultOptions(options);}/*** 普通文本调用* * @param msg* @return*/@Overridepublic Object getOllame(String msg) {Prompt prompt = new Prompt(msg);ChatResponse call = chatClient.call(prompt);return call.getResult().getOutput().getContent();}/*** 流式调用* * @param msg* @return*/@Overridepublic Object getOllameByStream(String msg) {Prompt prompt = new Prompt(msg);Flux<ChatResponse> stream = chatClient.stream(prompt);List<String> result = stream.toStream().map(a -> {return a.getResult().getOutput().getContent();}).collect(Collectors.toList());return result;}}
三,调用展示
我们看看普通调用的展示
流式调用的展示(我们跟ai聊天,回答不是一下子就出来的,就是这种流式调用所展示的这般)
这里不做具体的代码深挖,只做基本基础的运用。后期有机会会出个人模型训练方法。另外我们可以去spring官网查看,目前支持的ai模型有哪些,我这里简单截个图,希望各位看官老爷点个赞,加个关注,谢谢!Spring AI