前言

本篇文章基于java和阿里云的通义千问大模型手把手带你使用AIGC开发，实现文本对话和图像分析。

一、📖AIGC简介

你知道什么是AIGC吗？不知道？没关系，我来告诉你：

• AIGC就是由AI自动创作生成的内容（AI Generated Content），比如图片、视频、音乐、文字等。AIGC就像一支神奇的画笔，拥有无限的创造力。这支画笔的特别之处在于，它是由AI打造的。AI利用它的理解力、想象力和创作力，根据指定的需求和风格，创作出各种内容：文章、短篇小说、报告、音乐、图像，甚至是视频。AIGC的出现，打开了一个全新的创作世界，为人们提供了无数的可能性。
• AI，就是人工智能。它的目标是让机器能够像人一样有智能，能够看、听、说、想、做。要实现这个目标，AI需要用到重要的技术：深度学习、NLP（自然语言处理）、神经网络和生成式对抗网络（GAN）。

🌤️通过上面的讲诉，无论你曾经不知道还是模棱两可，现在应该大概了解了，下面带你走进AIGC，用程序员的身份打开AIGC。

二、📣开通体验

开通模型获取API-KEY

大家不要害怕开通不会产生收费，本文讲述的完全是免费就可使用的方法。

登录阿里云进入控制台后，鼠标移到下图位置

然后出现如下界面，找到人工智能与机器学习下的模型服务灵积，点击

参照开发文档，开通DashScope并创建API-KEY

总结文档上的开通步骤如下：

在控制台中点击总览，去开通

立开通（大家不要怕，这是不会产生扣费的）

开通后，点击 管理中心 的 API-KEY 菜单项，然后创建新的API-KEY

就会有个Accesskeyid和Secret值（这俩值要记住真正的开发中有用，本文章没用到）的弹窗，然后点击已创建的AIP-KEY查看并复制，这个会用到。

三、📝基于java实现调用

📣打开IDEA，开始操作了

1.设置API-KEY

先了解以下如何设置API-KEY值的：

import com.alibaba.dashscope.utils.Constants;Constants.apiKey="这就是你的API-KEY的值（上面复制的）";

2.体验大语言模型

多轮对话演示

创建一个测试类：

代码如下：

import com.alibaba.dashscope.aigc.generation.Generation;import com.alibaba.dashscope.aigc.generation.GenerationResult;import com.alibaba.dashscope.aigc.generation.models.QwenParam;import com.alibaba.dashscope.common.Message;import com.alibaba.dashscope.common.MessageManager;import com.alibaba.dashscope.common.Role;import com.alibaba.dashscope.exception.ApiException;import com.alibaba.dashscope.exception.InputRequiredException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.alibaba.dashscope.utils.Constants;import com.alibaba.dashscope.utils.JsonUtils;import org.mockito.internal.matchers.Contains;import java.awt.*;class test {    public static void callWithMessage()            throws NoApiKeyException, ApiException, InputRequiredException {        // 设置API-KEY值        Constants.apiKey="你的API-KEY值";        Generation gen = new Generation();        MessageManager msgManager = new MessageManager(10);        Message systemMsg =                Message.builder().role(Role.SYSTEM.getValue()).content("You are a helpful assistant.").build();//告知模型他是个助手（设置角色）        Message userMsg = Message.builder().role(Role.USER.getValue()).content("你好，周末去哪里玩？").build();//对话问题        msgManager.add(systemMsg);        msgManager.add(userMsg);        QwenParam param =                QwenParam.builder().model(Generation.Models.QWEN_PLUS).messages(msgManager.get())                        .resultFormat(QwenParam.ResultFormat.MESSAGE)                        .topP(0.8)                        .enableSearch(true)                        .build();        GenerationResult result = gen.call(param);        System.out.println(result);//输出回复        msgManager.add(result);        System.out.println(JsonUtils.toJson(result));//JSON格式输出回复        param.setPrompt("找个近点的");//继续问题        param.setMessages(msgManager.get());        result = gen.call(param);        System.out.println(result);        System.out.println(JsonUtils.toJson(result));    }    public static void main(String[] args){        try {            callWithMessage();        } catch (ApiException | NoApiKeyException | InputRequiredException e) {            System.out.println(e.getMessage());        }        System.exit(0);    }}

上诉代码就是向模型提问周末去哪玩，模型给出回复后，又继续说让他说个近点的地方

补充流式输出

import java.util.Arrays;import java.util.concurrent.Semaphore;import com.alibaba.dashscope.aigc.generation.Generation;import com.alibaba.dashscope.aigc.generation.GenerationResult;import com.alibaba.dashscope.aigc.generation.models.QwenParam;import com.alibaba.dashscope.common.Message;import com.alibaba.dashscope.common.ResultCallback;import com.alibaba.dashscope.common.Role;import com.alibaba.dashscope.exception.ApiException;import com.alibaba.dashscope.exception.InputRequiredException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.alibaba.dashscope.utils.JsonUtils;import io.reactivex.Flowable;import com.alibaba.dashscope.utils.Constants;public class Main {  public static void streamCallWithMessage()      throws NoApiKeyException, ApiException, InputRequiredException {     Constants.apiKey="你的API-KEY值";    Generation gen = new Generation();    Message userMsg = Message    .builder()    .role(Role.USER.getValue())    .content("如何做西红柿炖牛腩？")    .build();    QwenParam param =        QwenParam.builder().model(Generation.Models.QWEN_PLUS).messages(Arrays.asList(userMsg))            .resultFormat(QwenParam.ResultFormat.MESSAGE)            .topP(0.8)            .enableSearch(true)            .incrementalOutput(true) // get streaming output incrementally            .build();    Flowable<GenerationResult> result = gen.streamCall(param);    StringBuilder fullContent = new StringBuilder();    result.blockingForEach(message -> {      fullContent.append(message.getOutput().getChoices().get(0).getMessage().getContent());      System.out.println(JsonUtils.toJson(message));    });    System.out.println("Full content: /n" + fullContent.toString());  }  public static void streamCallWithCallback()      throws NoApiKeyException, ApiException, InputRequiredException,InterruptedException {    Generation gen = new Generation();    Message userMsg = Message    .builder()    .role(Role.USER.getValue())    .content("如何做西红柿炖牛腩？")    .build();    QwenParam param = QwenParam    .builder()    .model(Generation.Models.QWEN_PLUS)    .resultFormat(QwenParam.ResultFormat.MESSAGE)    .messages(Arrays.asList(userMsg))    .topP(0.8)    .incrementalOutput(true) // get streaming output incrementally    .build();    Semaphore semaphore = new Semaphore(0);    StringBuilder fullContent = new StringBuilder();    gen.streamCall(param, new ResultCallback<GenerationResult>() {      @Override      public void onEvent(GenerationResult message) {        fullContent.append(message.getOutput().getChoices().get(0).getMessage().getContent());        System.out.println(message);      }      @Override      public void onError(Exception err){        System.out.println(String.format("Exception: %s", err.getMessage()));        semaphore.release();      }      @Override      public void onComplete(){        System.out.println("Completed");        semaphore.release();      }          });    semaphore.acquire();    System.out.println("Full content: /n" + fullContent.toString());  }  public static void main(String[] args) {    try {      streamCallWithMessage();    } catch (ApiException | NoApiKeyException | InputRequiredException e) {      System.out.println(e.getMessage());    }    try {      streamCallWithCallback();    } catch (ApiException | NoApiKeyException | InputRequiredException | InterruptedException e) {      System.out.println(e.getMessage());    }    System.exit(0);  }}

3.体验通义千问VL

下面使用接口实现图片解析

使用官方提供照片

首先大家看一下官方提供的图片：

/** * @Version: 1.0.0 * @Author: Dragon_王 * @ClassName: test1 * @Description: TODO描述 * @Date: 2023/12/28 17:41 */import java.util.Arrays;import java.util.Collections;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;import com.alibaba.dashscope.common.MultiModalMessage;import com.alibaba.dashscope.common.Role;import com.alibaba.dashscope.exception.ApiException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.alibaba.dashscope.exception.UploadFileException;import com.alibaba.dashscope.utils.Constants;class test1 {    public static void simpleMultiModalConversationCall()            throws ApiException, NoApiKeyException, UploadFileException {        Constants.apiKey="你的api-key";        MultiModalConversation conv = new MultiModalConversation();        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())                .content(Arrays.asList(Collections.singletonMap("image", "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"),                        Collections.singletonMap("text", "这是什么?"))).build();// 对话的问题        MultiModalConversationParam param = MultiModalConversationParam.builder()                .model(MultiModalConversation.Models.QWEN_VL_PLUS)                .message(userMessage)                .build();        MultiModalConversationResult result = conv.call(param);        System.out.println(result);    }    public static void main(String[] args) {        try {            simpleMultiModalConversationCall();        } catch (ApiException | NoApiKeyException | UploadFileException e) {            System.out.println(e.getMessage());        }        System.exit(0);    }}

本地文件

import java.util.Arrays;import java.util.HashMap;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;import com.alibaba.dashscope.common.MultiModalMessage;import com.alibaba.dashscope.common.Role;import com.alibaba.dashscope.exception.ApiException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.alibaba.dashscope.exception.UploadFileException;import io.reactivex.Flowable;import com.alibaba.dashscope.utils.Constants;public class MultiModalConversationLocalFile2 {    /**     * sample of use local file     * Windows file format: file:///D:/test/images/test.png     * Linux & Mac format: file://The_absolute_local_path     *      */    public static void callWithLocalFile()            throws ApiException, NoApiKeyException, UploadFileException {        Constants.apiKey="你的api-key";        String localFilePath = "file://The_file_absolute_path";         MultiModalConversation conv = new MultiModalConversation();        // must create mutable map.        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())        .content(Arrays.asList(new HashMap<String, Object>(){{put("image", localFilePath);}},         new HashMap<String, Object>(){{put("text", "这是什么?");}})).build();// 对话问题        MultiModalConversationParam param = MultiModalConversationParam.builder()                .model(MultiModalConversation.Models.QWEN_VL_PLUS)                .message(userMessage)                .build();        Flowable<MultiModalConversationResult> result = conv.streamCall(param);        result.blockingForEach(item -> {            System.out.println(item);        });    }    public static void main(String[] args) {        try {            callWithLocalFile();        } catch (ApiException | NoApiKeyException | UploadFileException e) {            System.out.println(e.getMessage());        }        System.exit(0);    }}

多轮对话

import java.util.ArrayList;import java.util.Arrays;import java.util.Collections;import java.util.List;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;import com.alibaba.dashscope.common.MultiModalMessage;import com.alibaba.dashscope.common.Role;import com.alibaba.dashscope.exception.ApiException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.alibaba.dashscope.exception.UploadFileException;import com.alibaba.dashscope.utils.Constants;public class Main {    private static final String modelName = "qwen-vl-plus";    public static void MultiRoundConversationCall() throws ApiException, NoApiKeyException, UploadFileException {    	Constants.apiKey="你的api-key";        MultiModalConversation conv = new MultiModalConversation();        MultiModalMessage systemMessage = MultiModalMessage.builder().role(Role.SYSTEM.getValue())        .content(Arrays.asList(Collections.singletonMap("text", "You are a helpful assistant."))).build();        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())        .content(Arrays.asList(Collections.singletonMap("image", "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"),         Collections.singletonMap("text", "图片里有什么动物?"))).build();// 第一个对话问题        List<MultiModalMessage> messages = new ArrayList<>();        messages.add(systemMessage);        messages.add(userMessage);        MultiModalConversationParam param = MultiModalConversationParam.builder()                .model(MultiModalConversationUsage2.modelName)                .messages(messages)                .build();        MultiModalConversationResult result = conv.call(param);        System.out.println(result);        // add the result to conversation        messages.add(result.getOutput().getChoices().get(0).getMessage());        MultiModalMessage msg = MultiModalMessage.builder().role(Role.USER.getValue())        .content(Arrays.asList(Collections.singletonMap("text", "图片动物是什么？"))).build();// 第二个对话问题        messages.add(msg);        // new messages        param.setMessages((List)messages);        result = conv.call(param);        System.out.print(result);    }    public static void main(String[] args) {        try {            MultiRoundConversationCall();        } catch (ApiException | NoApiKeyException | UploadFileException e) {            System.out.println(e.getMessage());        }        System.exit(0);    

流式输出

只是输出采用的方式不一样

import java.util.Arrays;import java.util.HashMap;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversation;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationParam;import com.alibaba.dashscope.aigc.multimodalconversation.MultiModalConversationResult;import com.alibaba.dashscope.common.MultiModalMessage;import com.alibaba.dashscope.common.Role;import com.alibaba.dashscope.exception.ApiException;import com.alibaba.dashscope.exception.NoApiKeyException;import com.alibaba.dashscope.exception.UploadFileException;import io.reactivex.Flowable;import com.alibaba.dashscope.utils.Constants;public class MultiModalConversationStream {    public static void streamCall()            throws ApiException, NoApiKeyException, UploadFileException {        Constants.apiKey="你的api-key";        MultiModalConversation conv = new MultiModalConversation();        // must create mutable map.        MultiModalMessage userMessage = MultiModalMessage.builder().role(Role.USER.getValue())        .content(Arrays.asList(new HashMap<String, Object>(){{put("image", "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg");}},         new HashMap<String, Object>(){{put("text", "基于这幅图，讲一个故事");}})).build();        MultiModalConversationParam param = MultiModalConversationParam.builder()                .model(MultiModalConversation.Models.QWEN_VL_PLUS)                .message(userMessage)                .build();        Flowable<MultiModalConversationResult> result = conv.streamCall(param);        result.blockingForEach(item -> {            System.out.println(item);        });    }    public static void main(String[] args) {        try {            streamCall();        } catch (ApiException | NoApiKeyException | UploadFileException e) {            System.out.println(e.getMessage());        }        System.exit(0);    }}

总结

上面就是使用java调用通义千问大模型的案例，上诉代码都可以运行，如果想改变问题，就将对话问题修改就行。如果再自己写一个UI界面的话，你就拥有了自己的AIGC了（虽然是调用的API🌤️）。