Update app.py

app.py

@@ -41,16 +41,19 @@ async def predict(file: UploadFile = File(...)):
                 image = Image.open(io.BytesIO(image_bytes)).convert("RGB")
             except Exception:
                 raise HTTPException(status_code=400, detail="无法识别的图像文件，请上传有效的图像")
-            
-            logger.info(f"处理图像: {file.filename}, 尺寸: {image.size}")
+            logger.info(f"{datetime.now()} - 处理图像: {file.filename}, 尺寸: {image.size}")
 
             result = ocr_engine.sample_inference(image)
+
+            if isinstance(result, dict) and "error" in result:
+                logger.error(f"{datetime.now()} - 推理返回错误: {result}")
+                raise HTTPException(status_code=500, detail=result)
             return result
         except HTTPException:
             # 直接抛出 HTTP 异常，避免被通用异常捕获导致状态码错误
             raise
         except Exception as e:
-            logger.exception("推理过程中发生错误")
+            logger.exception(f"{datetime.now()} - 推理过程中发生错误: {e}")
             raise HTTPException(status_code=500, detail=str(e))
 
 @app.get("/health")