update submit page

app.py

@@ -435,90 +435,39 @@ with demo:
                     queue=True,
                 )
             gr.Markdown(EVALUATION_METRIC_TEXT, elem_classes="markdown-text")
+        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=3):
+            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
+            gr.HTML(TABLE_TEXT)
+            gr.Markdown(LLM_BENCHMARKS_TEXT2, elem_classes="markdown-text")
         with gr.TabItem("📤 Submit Model", elem_id="submit-model-tab", id=2):
-            gr.Markdown("## 提交模型进行评估", elem_classes="markdown-text")
-            
+            # 1. Submit your modelinfos here!
+            gr.Markdown("✨ Submit your modelinfos here!")
             with gr.Row():
-                with gr.Column(scale=1):
-                    gr.Markdown("### 1. 提交模型信息")
-                    model_name = gr.Textbox(
-                        label="Model Name",
-                        placeholder="请输入模型名称，格式：用户名/模型名",
-                        info="例如：microsoft/DialoGPT-medium"
-                    )
-                    revision_commit = gr.Textbox(
-                        label="Revision commit",
-                        placeholder="请输入版本信息，默认为 main",
-                        value="main"
-                    )
-                    
-                    # 模型信息验证按钮
-                    model_info_btn = gr.Button("验证模型信息", variant="secondary")
-                    model_info_output = gr.Textbox(label="验证结果", interactive=False)
-                    
-                with gr.Column(scale=1):
-                    gr.Markdown("### 2. 提交API信息 (API only)")
-                    model_api_url = gr.Textbox(
-                        label="Model online api url",
-                        placeholder="请输入API URL，例如：https://api.openai.com/v1/chat/completions"
-                    )
-                    model_api_key = gr.Textbox(
-                        label="Model online api key",
-                        placeholder="请输入API密钥",
-                        type="password"
-                    )
-                    online_api_model_name = gr.Textbox(
-                        label="Online api model name",
-                        placeholder="请输入API模型名称，例如：gpt-3.5-turbo"
-                    )
-                    
-                    # API信息验证按钮
-                    api_info_btn = gr.Button("验证API信息", variant="secondary")
-                    api_info_output = gr.Textbox(label="验证结果", interactive=False)
+                model_name = gr.Textbox(label="Model Name")
+                revision_commit = gr.Textbox(label="Revision commit")
             
+            # 2. Submit your API infos here! (API only)
+            gr.Markdown("📧 Submit your API infos here! (API only)")
             with gr.Row():
-                with gr.Column(scale=1):
-                    gr.Markdown("### 3. 提交推理信息 (inference only)")
-                    runsh_file = gr.File(
-                        label="upload run.sh file",
-                        file_types=[".sh"],
-                        file_count="single"
-                    )
-                    adapter_file = gr.File(
-                        label="upload model_adapter.py file", 
-                        file_types=[".py"],
-                        file_count="single"
-                    )
-                    
-                    # 推理信息验证按钮
-                    inference_info_btn = gr.Button("验证推理文件", variant="secondary")
-                    inference_info_output = gr.Textbox(label="验证结果", interactive=False)
+                model_api_url = gr.Textbox(label="Model online api url")
+                model_api_key = gr.Textbox(label="Model online api key")
+                online_api_model_name = gr.Textbox(label="Online api model name")
             
+            # 3. Submit your inference infos here! (inference only)
+            gr.Markdown("📧 Submit your inference infos here! (inference only)")
             with gr.Row():
                 with gr.Column():
-                    gr.Markdown("### 4. 提交评估")
-                    submit_btn = gr.Button("Submit Eval", variant="primary", size="lg")
-                    submit_output = gr.Textbox(label="提交结果", interactive=False)
-            
-            # 绑定事件
-            model_info_btn.click(
-                fn=lambda name, rev: submit_model_info(name, rev),
-                inputs=[model_name, revision_commit],
-                outputs=model_info_output
-            )
-            
-            api_info_btn.click(
-                fn=lambda url, key, name: submit_api_info(url, key, name),
-                inputs=[model_api_url, model_api_key, online_api_model_name],
-                outputs=api_info_output
-            )
+                    gr.Markdown("upload run.sh file")
+                    runsh_file = gr.File(file_types=[".sh"], file_count="single")
+                with gr.Column():
+                    gr.Markdown("upload model_adapter.py file")
+                    adapter_file = gr.File(file_types=[".py"], file_count="single")
             
-            inference_info_btn.click(
-                fn=lambda runsh, adapter: submit_inference_info(runsh, adapter),
-                inputs=[runsh_file, adapter_file],
-                outputs=inference_info_output
-            )
+            # 4. Submit Eval 按钮
+            submit_btn = gr.Button("Submit Eval")
+            submit_output = gr.Textbox(label="", interactive=False, visible=False)
             
+            # 绑定事件
             submit_btn.click(
                 fn=lambda name, rev, url, key, api_name, runsh, adapter: submit_eval_complete(
                     name, rev, url, key, api_name, runsh, adapter
@@ -528,10 +477,6 @@ with demo:
                 outputs=submit_output
             )
 
-        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=3):
-            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")
-            gr.HTML(TABLE_TEXT)
-            gr.Markdown(LLM_BENCHMARKS_TEXT2, elem_classes="markdown-text")
 
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):