Update app.py

app.py

@@ -381,37 +381,11 @@ scheduler.start()
 # Both launches the space and its CI
 configure_space_ci(
     demo.queue(default_concurrency_limit=40),
+    kwargs=[]
     # trusted_authors=[],  # add manually trusted authors
     # private="True",  # ephemeral spaces will have same visibility as the main space. Otherwise, set to `True` or `False` explicitly.
     # variables={},  # We overwrite HF_HOME as tmp CI spaces will have no cache
     # secrets=[" HF_TOKEN", "H4_TOKEN"],  # which secret do I want to copy from the main space? Can be a `List[str]`.
     # hardware=None,  # "cpu-basic" by default. Otherwise set to "auto" to have same hardware as the main space or any valid string value.
     # storage=None,  # no storage by default. Otherwise set to "auto" to have same storage as the main space or any valid string value.
-).launch()
-
-
-# scheduler = BackgroundScheduler()
-# scheduler.add_job(restart_space, "interval", seconds=1800)
-# scheduler.start()
-# def submit_model(model_name, model_description):
-#     # 这里的逻辑是用来处理模型提交的。
-#     # 你需要将模型添加到评估队列，并返回提交状态。
-#     # 这个示例函数只是返回一个确认消息。
-#     return f"模型 '{model_name}' 已提交评估。描述: {model_description}"
-#
-# # 创建一个Gradio表单接口
-# iface = gr.Interface(
-#     fn=submit_model,  # 提交模型的函数
-#     inputs=[          # 输入字段
-#         gr.Textbox(label="模型名称"),
-#         gr.TextArea(label="模型描述")
-#     ],
-#     outputs=[         # 输出字段
-#         gr.Text(label="提交状态")
-#     ],
-#     title="Open MLLM Leaderboard",  # 界面标题
-#     description="The Open LLM Leaderboard aims to track, rank, and evaluate LLMs and chatbots.",  # 界面描述
-#     article="Submit a model for automated evaluation on the Open LLM Leaderboard on the 'Submit' page! The leaderboard's backend runs the great EleutherAI Language Model Evaluation Harness - read more details in the 'About' page!"  # 底部的文章或额外信息
-# )
-#
-# iface.launch()
+).launch()