try

app.py

@@ -9,44 +9,12 @@ for key, value in env_vars.items():
     print(f"{key}: {value}")
 ##
 import subprocess
-import json
-
-# 运行nvidia-smi命令并以JSON格式获取输出
+# 运行nvidia-smi
 result = subprocess.run(
-    ['nvidia-smi', '--query-gpu=index,name,memory.total,memory.used,memory.free,utilization.gpu,temperature.gpu',
-     '--format=csv,noheader,nounits', '--json'],
-    stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True
+    ['nvidia-smi'], text=True
 )
 
-# 解析输出
-if result.stdout:
-    gpu_info_json = result.stdout
-    print(gpu_info_json)
-    try:
-    # 将JSON字符串转换成Python字典
-        gpu_info = json.loads(gpu_info_json)
-
-        # 打印全部GPU信息
-        print(json.dumps(gpu_info, indent=4))
-    except json.JSONDecodeError as e:
-        pass
-else:
-    print("Error:", result.stderr)
-
 ##
-import GPUtil
-
-# 获取所有可用的GPU列表
-gpus = GPUtil.getGPUs()
-
-# 遍历列表，打印每个GPU的详细信息
-for gpu in gpus:
-    print(f"GPU ID: {gpu.id}, Name: {gpu.name}")
-    print(f"  Total Memory: {gpu.memoryTotal}MB")
-    print(f"  Used Memory: {gpu.memoryUsed}MB")
-    print(f"  Free Memory: {gpu.memoryFree}MB")
-    print(f"  GPU Utilization: {gpu.load*100}%")
-    print(f"  GPU Temperature: {gpu.temperature}C\n")
 
 import spaces
 from threading import Thread