Update app.py

app.py

@@ -68,7 +68,7 @@ def update_gpu_status():
             memory_used = gpu.memory_used
             memory_total = gpu.memory_total
             memory_utilization = (memory_used / memory_total) * 100
-            gpu_status=(f"> **GPU** {gpu_id}: {gpu_name}, Utilization: {gpu_utilization}%, **Memory Used**: {memory_used}MB, **Memory Total**: {memory_total}MB, **Memory Utilization**: {memory_utilization:.2f}%\n")
+            gpu_status=(f"**GPU** {gpu_id}: {gpu_name}\nUtilization: {gpu_utilization}%\n**Memory Used**: {memory_used}MB\n**Memory Total**: {memory_total}MB\n**Memory Utilization**: {memory_utilization:.2f}%\n")
             return gpu_status
 
     except Exception as e:
@@ -83,24 +83,24 @@ def torch_update_gpu_status():
         free_memory=gpu_memory[0] /(1024 *1024)
         used_memory = (gpu_memory[1] - gpu_memory[0]) / (1024 * 1024)
         
-        gpu_status = f"> **GPU**: {gpu_info} **Free Memory**:{free_memory}MB   **Total Memory**: {total_memory:.2f} MB  **Used Memory**: {used_memory:.2f} MB\n"
+        gpu_status = f"**GPU**: {gpu_info}\n**Free Memory**:{free_memory}MB\n**Total Memory**: {total_memory:.2f} MB\n**Used Memory**: {used_memory:.2f} MB\n"
     else:
         gpu_status = "No GPU available"
     return gpu_status
 
 def update_cpu_status():
     import datetime
-    current_time = datetime.datetime.now().time()
-    time_str = current_time.strftime("%H:%M:%S")
+    current_time = datetime.datetime.utcnow()
+    time_str = current_time.strftime("%Y-%m-%d %H:%M:%S")
 
     cpu_percent = psutil.cpu_percent()
-    cpu_status = f"> **CPU Usage: {cpu_percent}% {time_str}"
+    cpu_status = f"{time_str}(UTC+0)\n**CPU Usage**: {cpu_percent}%\n"
     return cpu_status
 
 def update_status():
     gpu_status = update_gpu_status()
     cpu_status = update_cpu_status()
-    sys_status=gpu_status+cpu_status
+    sys_status=cpu_status+gpu_status
     return sys_status
 
 def refresh_status():