1、pom.xml<properties>
<java.version>17</java.version>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<spring-boot.version>3.2.0</spring-boot.version>
<spring-ai.version>1.0.0</spring-ai.version>
<spring-ai-alibaba.version>1.0.0.2</spring-ai-alibaba.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-starter-model-deepseek</artifactId>
<version>1.0.0</version>
</dependency>
<!-- 阿里云通义千问（DashScope）starter -->
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-starter-dashscope</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<!---文本视频sdk-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>dashscope-sdk-java</artifactId>
<version>2.20.6</version>
</dependency>
</dependencies>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-dependencies</artifactId>
<version>${spring-boot.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
<!-- 统一管理Spring AI依赖版本 -->
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-bom</artifactId>
<version>${spring-ai.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
<dependency>
<groupId>com.alibaba.cloud.ai</groupId>
<artifactId>spring-ai-alibaba-bom</artifactId>
<version>${spring-ai-alibaba.version}</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
2、yml
server:
port: 8082spring:
application:
name: deepseek
# ========== 阿里云通义千问（DashScope）配置 ==========
#spring.ai.dashscope.api-key=${ALI_AI_KEY}
# spring.ai.dashscope.chat.options.model= 可指定模型，如 qwen-max、qwen-plus 等
dashscope:
api-key: "keykey"
#chat:
# options:
# model:
注:api-key 请用自己的key
3、controller
文生视频
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesis;
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesisParam;
import com.alibaba.dashscope.aigc.videosynthesis.VideoSynthesisResult;
import com.alibaba.dashscope.exception.InputRequiredException;
import com.alibaba.dashscope.exception.NoApiKeyException;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;@RequestMapping("/openai")
@ResponseBody
@Controller
public class Txt2Vedio {
@GetMapping("/simple/vedio")
public String mult () throws NoApiKeyException, InputRequiredException {
VideoSynthesis videoSynthesis=new VideoSynthesis();
VideoSynthesisParam param=
VideoSynthesisParam.builder()
.model("wanx2.1-t2v-turbo")//wanx2.1-t2v-puls
.prompt("一只小猫在月光下奔跑")
.size("1280*720")
.apiKey("sk-8718a83408d7443b9544cdfbf259280f")
.build();
System.out.println("please wait....");
VideoSynthesisResult result=videoSynthesis.call(param);
return result.getOutput().getVideoUrl();
}
}
多模态(图片、语音识别)
import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatModel;
import com.alibaba.cloud.ai.dashscope.chat.DashScopeChatOptions;
import com.alibaba.cloud.ai.dashscope.chat.MessageFormat;
import com.alibaba.cloud.ai.dashscope.common.DashScopeApiConstants;
import jakarta.annotation.Resource;
import org.springframework.ai.chat.messages.UserMessage;
import org.springframework.ai.chat.model.ChatResponse;
import org.springframework.ai.chat.prompt.Prompt;
import org.springframework.ai.content.Media;
import org.springframework.core.io.ClassPathResource;
import org.springframework.stereotype.Controller;
import org.springframework.util.MimeType;
import org.springframework.util.MimeTypeUtils;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;import java.util.Map;
@RequestMapping("/openai")
@ResponseBody
@Controller
public class testMultimodal {
@Resource
private DashScopeChatModel dashScopeChatModel;@GetMapping("/simple/mult")
public String mult () {
// flac、mp3、mp4、mpeg、mpga、m4a、ogg、wav 或 webm。
var audioFile = new ClassPathResource("/files/output.mp3");
// var audioFile = new ClassPathResource("/files/hello.mp3");
Media media = new Media(new MimeType("audio", "mpeg"), audioFile);
DashScopeChatOptions options = DashScopeChatOptions.builder().
withMultiModel(true).
withModel("qwen-omni-turbo").build();Prompt prompt= Prompt.builder().chatOptions(options)
.messages(UserMessage.builder().media(media)
.metadata(Map.of(DashScopeApiConstants.MESSAGE_FORMAT, MessageFormat.VIDEO))
.text("识别语音文件").build())
.build();
ChatResponse response = dashScopeChatModel.call(prompt);
System.out.println(response.getResult().getOutput().getText());
return response.getResult().getOutput().getText();
}@GetMapping("/simple/mult2")
public String mult2 () {
// flac、mp3、mp4、mpeg、mpga、m4a、ogg、wav 或 webm。
var audioFile = new ClassPathResource("/files/xushu.jpg");
// var audioFile = new ClassPathResource("/files/hello.mp3");
Media media = new Media(MimeTypeUtils.IMAGE_JPEG, audioFile);
DashScopeChatOptions options = DashScopeChatOptions.builder().
withMultiModel(true)
.withModel("qwen-vl-max-latest").build();Prompt prompt= Prompt.builder().chatOptions(options)
.messages(UserMessage.builder().media(media)
.text("识别图片").build())
.build();
ChatResponse response = dashScopeChatModel.call(prompt);
System.out.println(response.getResult().getOutput().getText());
return response.getResult().getOutput().getText();
}
}http://localhost:8082/openai/simple/mult
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