调整报错

src/main/java/com/example/glmocr/model/GlmOcrModel.java

@@ -11,6 +11,7 @@ import ai.djl.pytorch.engine.PtModel;
 import ai.djl.pytorch.engine.PtNDArray;
 import ai.djl.repository.zoo.Criteria;
 import ai.djl.repository.zoo.ZooModel;
+import ai.djl.training.util.ProgressBar;
 import ai.djl.translate.TranslateException;
 import ai.djl.translate.Translator;
 import ai.djl.translate.TranslatorContext;
@@ -76,7 +77,7 @@ public class GlmOcrModel {
                 .optModelPath(modelPath)
                 .optEngine("PyTorch")
                 .optTranslator(new GlmOcrTranslator(config))
-                .optProgress(new ProgressListener())
+                .optProgress(new ProgressBar())
                 .build();
 
         model = criteria.loadModel();
@@ -100,10 +101,10 @@ public class GlmOcrModel {
         init();
     }
 
-    private static class ProgressListener implements ai.djl.training.listener.ProgressListener {
-        @Override
-        public void progressUpdate(int progress, String message) {
-            log.debug("Model loading progress: {}% - {}", progress, message);
-        }
-    }
+//    private static class ProgressListener implements ai.djl.training.listener.ProgressListener {
+//        @Override
+//        public void progressUpdate(int progress, String message) {
+//            log.debug("Model loading progress: {}% - {}", progress, message);
+//        }
+//    }
 }

src/main/java/com/example/glmocr/model/GlmOcrTranslator.java

@@ -49,7 +49,7 @@ public class GlmOcrTranslator implements Translator<BufferedImage, String> {
         int width = processedImage.getWidth();
         int height = processedImage.getHeight();
         
-        float[] pixels = new float[3 * height * width];
+        double[] pixels = new double[3 * height * width];
         int idx = 0;
         
         for (int c = 0; c < 3; c++) {

src/main/java/com/example/glmocr/tokenizer/TokenizerService.java

@@ -39,7 +39,7 @@ public class TokenizerService {
             return new long[0];
         }
         Encoding encoding = tokenizer.encode(text);
-        return Arrays.stream(encoding.getIds()).asLongStream().toArray();
+        return Arrays.stream(encoding.getIds()).toArray();
     }
 
     public String decode(long[] ids) {
@@ -51,8 +51,7 @@ public class TokenizerService {
                 .filter(id -> id > 0 && id < 151936) // GLM token范围
                 .toArray();
         
-        String[] tokens = tokenizer.decode(filteredIds);
-        return String.join("", tokens);
+        return tokenizer.decode(filteredIds);
     }
 
     public String decodeWithPrompt(long[] ids, String prompt) {
@@ -65,7 +64,8 @@ public class TokenizerService {
     }
 
     public int getVocabSize() {
-        return tokenizer != null ? tokenizer.getVocabularySize() : 0;
+//        return tokenizer != null ? tokenizer.getVocabularySize() : 0;
+        return tokenizer != null ? tokenizer.getMaxLength() : 0;
     }
 
     public boolean isAvailable() {

src/main/resources/application.yml

@@ -12,7 +12,7 @@ spring:
 # GLM-OCR配置（纯Java本地部署）
 glm-ocr:
   # 模型本地路径（支持相对路径或绝对路径）
-  model-path: ./models/GLM-OCR
+  model-path: 'D:/development/community/GLM-OCR'
   # 推理设备: cpu, gpu(0), gpu(1)
   device: cpu
   # 精度: fp32, fp16, bf16, int8