diff --git a/dsLightRag/Routes/XueBan.py b/dsLightRag/Routes/XueBan.py
index e46ec4bd..9a7401dd 100644
--- a/dsLightRag/Routes/XueBan.py
+++ b/dsLightRag/Routes/XueBan.py
@@ -46,8 +46,8 @@ async def upload_audio(file: UploadFile = File(...)):
         }
 
         # 删除临时文件
-        os.remove(temp_file_path)
-        logger.info(f"临时文件已删除: {temp_file_path}")
+        #os.remove(temp_file_path)
+        #logger.info(f"临时文件已删除: {temp_file_path}")
 
         # 返回识别结果
         return JSONResponse(content={
diff --git a/dsLightRag/Routes/__pycache__/XueBan.cpython-310.pyc b/dsLightRag/Routes/__pycache__/XueBan.cpython-310.pyc
index 7ccaafdd..b3103743 100644
Binary files a/dsLightRag/Routes/__pycache__/XueBan.cpython-310.pyc and b/dsLightRag/Routes/__pycache__/XueBan.cpython-310.pyc differ
diff --git a/dsLightRag/static/XueBan.html b/dsLightRag/static/XueBan.html
index 8015df08..9052cf3c 100644
--- a/dsLightRag/static/XueBan.html
+++ b/dsLightRag/static/XueBan.html
@@ -111,6 +111,7 @@
                         const audioUrl = URL.createObjectURL(audioBlob);
                         console.log("录音URL:", audioUrl);
                         // 这里可以调用ASR服务
+                        uploadAudioToServer(audioBlob);
                     };
 
                     mediaRecorder.start();
@@ -145,6 +146,64 @@
             }
         }
 
+        // 上传音频到服务器
+        function uploadAudioToServer(audioBlob) {
+            console.log("开始上传音频到服务器");
+            const formData = new FormData();
+            formData.append('file', audioBlob, 'recording.wav');
+
+            fetch('/api/xueban/upload-audio', {
+                method: 'POST',
+                body: formData
+            })
+            .then(response => {
+                if (!response.ok) {
+                    throw new Error('服务器响应错误');
+                }
+                return response.json();
+            })
+            .then(data => {
+                console.log("ASR识别结果:", data);
+                if (data.success) {
+                    showAsrResult(data.data.text);
+                } else {
+                    alert('音频识别失败: ' + data.message);
+                }
+            })
+            .catch(error => {
+                console.error("上传音频失败:", error);
+                alert('上传音频失败: ' + error.message);
+            });
+        }
+
+        // 显示ASR识别结果
+        function showAsrResult(text) {
+            // 检查是否已存在结果显示元素
+            let resultElement = document.getElementById('asrResult');
+            if (!resultElement) {
+                resultElement = document.createElement('div');
+                resultElement.id = 'asrResult';
+                resultElement.style.position = 'fixed';
+                resultElement.style.bottom = '80px';
+                resultElement.style.left = '20px';
+                resultElement.style.zIndex = '1000';
+                resultElement.style.padding = '10px 15px';
+                resultElement.style.backgroundColor = 'rgba(0, 123, 255, 0.9)';
+                resultElement.style.color = 'white';
+                resultElement.style.borderRadius = '5px';
+                resultElement.style.boxShadow = '0 2px 10px rgba(0, 0, 0, 0.2)';
+                document.body.appendChild(resultElement);
+            }
+
+            resultElement.textContent = '识别结果: ' + text;
+            resultElement.style.display = 'block';
+
+            // 5秒后自动隐藏
+            setTimeout(() => {
+                resultElement.style.display = 'none';
+            }, 5000);
+        }
+
         // 初始化看板娘 - 简化为Sample.html的工作版本
         function initL2Dwidget() {
             const modelId = getUrlParam('id') || 'koharu';