Update server.py

server.py

@@ -147,25 +147,38 @@ def download_and_extract_gpt_sovits():
         print('GPT-SoVITS 文件夹已存在,无需下载和解压.')
 
 
+def execute_command(port, command):
+    # 构造完整的命令字符串
+    full_command = f'python /home/aistudio/work/GPT-SoVITS/api.py -p {port} {command}'
+    
+    # 执行命令并将其放入后台
+    print(f'Executing command on port {port}: {full_command}')
+    process = subprocess.Popen(full_command, shell=True)  # 使用 Popen 启动进程
+    
+    # 等待进程完成（可选）
+    # process.wait()
+
 def execute_commands(port_and_commands_json):
     try:
         # 解析 JSON 字符串
         port_and_commands_list = json.loads(port_and_commands_json)
         
-        processes = []  # 用于存储进程对象
+        threads = []  # 用于存储线程对象
         
         for item in port_and_commands_list:
             port = item['port']
             command = item['command']
             
-            # 构造完整的命令字符串
-            full_command = f'python /home/aistudio/work/GPT-SoVITS/api.py -p {port} {command}'
+            # 创建并启动线程来执行命令
+            thread = threading.Thread(target=execute_command, args=(port, command))
+            thread.start()
+            threads.append(thread)  # 将线程对象添加到列表
             
-            # 执行命令并将其放入后台
-            print(f'Executing command on port {port}: {full_command}')
-            process = subprocess.Popen(full_command, shell=True)  # 使用 Popen 启动进程
-            processes.append(process)  # 将进程对象添加到列表
-            time.sleep(10)
+            time.sleep(30)  # 可选：控制启动新线程的频率
+    
+        # # 等待所有线程完成（可选）
+        # for thread in threads:
+        #     thread.join()
     
     except json.JSONDecodeError as e:
         print(f"Failed to decode JSON: {e}")