Update app3.py

app3.py

@@ -17,7 +17,7 @@ import time
 import socket
 from concurrent.futures import ProcessPoolExecutor
 # import wandb
-os.system("pip install nvidia-ml-py3")
+#os.system("pip install nvidia-ml-py3")
 os.chdir(f"/home/xlab-app-center")
 os.system(f"git clone https://openi.pcl.ac.cn/2575044704/sd-v1.7.0 /home/xlab-app-center/stable-diffusion-webui")
 os.system(f"cp /home/xlab-app-center/styles.csv /home/xlab-app-center/stable-diffusion-webui/styles.csv")
@@ -165,34 +165,12 @@ def localProxy():
         run(f'''nginx -c /home/xlab-app-center/stable-diffusion-webui/proxy_nginx.conf''')
     run(f'''nginx -s reload''')
     
-# WandB登录
-os.system('wandb login 5c00964de1bb95ec1ab24869d4c523c59e0fb8e3')
-
-# 初始化WandB项目
-wandb.init(project="gpu-temperature-monitor")
 
 import os
 import threading
 import wandb
 import time
-def monitor_gpu():
-    while True:
-        try:
-            # 获取 GPU 温度
-            handle = nvidia_smi.nvmlDeviceGetHandleByIndex(0)  # 0 表示第一个 GPU
-            gpu_temperature = nvidia_smi.nvmlDeviceGetTemperature(handle, nvidia_smi.NVML_TEMPERATURE_GPU)
-
-            # 获取 GPU 使用率
-            utilization = nvidia_smi.nvmlDeviceGetUtilizationRates(handle)
-            gpu_usage = utilization.gpu
-
-            # 使用 WandB 记录 GPU 温度和使用率
-            wandb.log({"GPU 温度": gpu_temperature, "GPU 使用率": gpu_usage})
 
-        except Exception as e:
-            print(f"Error: {e}")
-
-        time.sleep(60)
 
 def start():
     try:
@@ -208,13 +186,9 @@ def start():
         # 在这里处理异常的代码
         print(f"An error occurred: {e}")
 # Create threads for each function
-wandb_thread = threading.Thread(target=monitor_gpu)
+
 start_thread = threading.Thread(target=start)
 
-# Start the threads
-wandb_thread.start()
 start_thread.start()
 
-# Wait for both threads to finish
-wandb_thread.join()
 start_thread.join()