1.后端接口代码,要自己去申请百度key

import com.baidu.aip.ocr.AipOcr;
import com.medical.dto.RespResult;
import com.medical.service.StreamQwen;
import org.json.JSONArray;
import org.json.JSONObject;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.multipart.MultipartFile;

import javax.annotation.Resource;
import java.io.File;
import java.util.HashMap;

@RestController
public class BaiduOCRController {

    // 设置百度AI的相关信息
    public static final String APP_ID = "61762";
    public static final String API_KEY = "x1z09u4by2nirxNDoto4";
    public static final String SECRET_KEY = "pYcQ2Sp0Izo1eiupeO2aTZIkMH";

    @Resource
    private StreamQwen streamQwen;

    @PostMapping("/uploadAndRecognize")
    public RespResult uploadAndRecognize(@RequestParam("file") MultipartFile file) {
        try {
            // 保存上传的文件到临时目录
            File tempFile = File.createTempFile("temp", null);
            file.transferTo(tempFile);

            // 初始化一个AipOcr
            AipOcr client = new AipOcr(APP_ID, API_KEY, SECRET_KEY);

            // 设置请求参数
            HashMap<String, String> options = new HashMap<>();
            options.put("language_type", "CHN_ENG"); // 识别语言类型，默认为CHN_ENG（中英文混合）
            options.put("detect_direction", "true"); // 是否检测图像朝向，默认不检测

            // 调用接口进行文字识别
            JSONObject res = client.basicGeneral(tempFile.getAbsolutePath(), options);


            System.out.println(res);


            JSONArray wordsResult = res.getJSONArray("words_result");

            System.out.println("wordsResult: " + wordsResult);
            StringBuilder stringBuilder = new StringBuilder();

            for (int i = 0; i < wordsResult.length(); i++) {
                JSONObject wordObject = wordsResult.getJSONObject(i);
                String words = wordObject.getString("words");
                stringBuilder.append(words);
            }
            // 调用通义千问的api接口
            return RespResult.success(streamQwen.testStreamCall(stringBuilder.toString()));
        } catch (Exception e) {
            e.printStackTrace();
            throw new RuntimeException("图片的文字识别异常");
        }
    }
}

具体流程: 先把图片上传到一个临时目录，然后调用API拿到图片进行文字识别，最后把文字放进String Builder进行拼接，我们就可以使用了