Update app.py

app.py

@@ -546,7 +546,6 @@ def create_ui(app_config: ApplicationConfig):
             faster-whisper 是使用 CTranslate2 对 OpenAI Whisper 模型的重新实现，CTranslate2 是 Transformer 模型的快速推理引擎。\n
             此实现比 OpenAI Whisper 快 4 倍，同时使用更少的内存，达到相同的精度。\n
             对于非英语的较长音频文件（>10 分钟），建议您在 VAD 选项中选择 Silero VAD（Voice Activity Detector）。\n
-            最大音频文件长度：1800秒=30分钟。\n
             项目github地址：https://github.com/wwdok/faster-whisper-webui-cn
             """
         )
@@ -703,7 +702,7 @@ if __name__ == '__main__':
     parser.add_argument("--vad_cpu_cores", type=int, default=default_app_config.vad_cpu_cores, \
                         help="The number of CPU cores to use for VAD pre-processing.") # 1
     parser.add_argument("--vad_process_timeout", type=float, default=default_app_config.vad_process_timeout, \
-                        help="The number of seconds before inactivate processes are terminated. Use 0 to close processes immediately, or None for no timeout.") # 1800
+                        help="The number of seconds before inactivate processes are terminated. Use 0 to close processes immediately, or None for no timeout.")
     parser.add_argument("--auto_parallel", type=bool, default=default_app_config.auto_parallel, \
                         help="True to use all available GPUs and CPU cores for processing. Use vad_cpu_cores/vad_parallel_devices to specify the number of CPU cores/GPUs to use.") # False
     parser.add_argument("--output_dir", "-o", type=str, default=default_app_config.output_dir, \