From 38f680e1eb2bf5ef7e621608e7b5c38dcbdd076a Mon Sep 17 00:00:00 2001
From: hailin <hailin@gdzx.xyz>
Date: Tue, 8 Jul 2025 17:21:17 +0800
Subject: [PATCH] .

---
 gradio_ui.py | 99 ++++++++++++++++++++++++++++------------------------
 1 file changed, 54 insertions(+), 45 deletions(-)

diff --git a/gradio_ui.py b/gradio_ui.py
index e968c8e..92d7aab 100644
--- a/gradio_ui.py
+++ b/gradio_ui.py
@@ -134,14 +134,19 @@ def toggle_run(
 
 # ---------------- 互斥逻辑 ----------------
 def enforce_input_exclusive_and_toggle_fields(selected):
+    """
+    1. API Models / Local Models 二选一
+    2. Benchmarks / Custom Datasets 二选一
+    3. 保持顺序稳定，避免死循环
+    4. 根据选择决定 api_fields 和 run_params_section 的显隐
+    """
     order = ["API Models", "Local Models", "Benchmarks", "Custom Datasets"]
     group1 = {"API Models", "Local Models"}
     group2 = {"Benchmarks", "Custom Datasets"}
 
-    # 在每个互斥组里仅保留最后一次点选的项
     def keep_only_one(group):
         filtered = [item for item in selected if item in group]
-        return filtered[-1:]           # 最后一个（空 list 亦可）
+        return filtered[-1:]
 
     final_sel = set(selected)
     final_sel -= group1
@@ -149,20 +154,23 @@ def enforce_input_exclusive_and_toggle_fields(selected):
     final_sel -= group2
     final_sel |= set(keep_only_one(group2))
 
-    # ① 保证输出顺序固定
     final_list = [itm for itm in order if itm in final_sel]
 
-    # ② 只有真正变化时才更新，避免死循环
+    # ① 输入框更新（仅在变化时才触发）
     if list(selected) == final_list:
-        input_update = gr.update()     # 不带 value => 不触发二次 change
+        input_update = gr.update()
     else:
         input_update = gr.update(value=final_list)
 
+    # ② URL/Token 行仅在选中 API Models 时显示
     show_api_fields = "API Models" in final_sel
-    row_update = gr.Row.update(visible=show_api_fields)
+    api_row_update = gr.Row.update(visible=show_api_fields)
 
-    return input_update, row_update
+    # ③ 运行参数区域在选中 API Models 或 Local Models 时显示
+    show_run_params = bool(final_sel & {"API Models", "Local Models"})
+    run_params_update = gr.Column.update(visible=show_run_params)
 
+    return input_update, api_row_update, run_params_update
 
 
 # ---------------- 构建 Gradio UI ----------------
@@ -206,45 +214,46 @@ with gr.Blocks(title="EvalScope 全功能界面") as demo:
                          "RAGAS", "MTEB/CMTEB"]
             )
 
-    # ===== 运行参数 =====
-    with gr.Accordion("运行参数（可选修改）", open=False):
-        with gr.Row():
-            api_provider_dropdown = gr.Dropdown(
-                label="API Provider (--api)",
-                choices=["openai", "azure", "ollama", "gemini"],
-                value="openai"
+    # ===== 运行参数（可隐藏） =====
+    with gr.Column(visible=False) as run_params_section:
+        with gr.Accordion("运行参数（可选修改）", open=False):
+            with gr.Row():
+                api_provider_dropdown = gr.Dropdown(
+                    label="API Provider (--api)",
+                    choices=["openai", "azure", "ollama", "gemini"],
+                    value="openai"
+                )
+                dataset_dropdown = gr.Dropdown(
+                    label="评测数据集 (--dataset)",
+                    choices=["openqa", "gsm8k", "mmlu", "truthfulqa"],
+                    value="openqa"
+                )
+            model_override_input = gr.Textbox(
+                label="自定义模型名 (--model)，留空则使用时间戳",
+                placeholder="e.g. my-llm-7b"
             )
-            dataset_dropdown = gr.Dropdown(
-                label="评测数据集 (--dataset)",
-                choices=["openqa", "gsm8k", "mmlu", "truthfulqa"],
-                value="openqa"
+            with gr.Row():
+                max_tokens_slider = gr.Slider(
+                    label="Max Tokens (--max-tokens)",
+                    minimum=256, maximum=8192, step=256, value=1024
+                )
+                min_tokens_slider = gr.Slider(
+                    label="Min Tokens (--min-tokens)",
+                    minimum=0, maximum=4096, step=64, value=1024
+                )
+            with gr.Row():
+                parallel_slider = gr.Slider(
+                    label="并发请求数 (--parallel)",
+                    minimum=1, maximum=16, step=1, value=1
+                )
+                num_req_slider = gr.Slider(
+                    label="请求条数 (--number)",
+                    minimum=1, maximum=1000, step=1, value=100
+                )
+            max_prompt_len_slider = gr.Slider(
+                label="最大 Prompt 长度 (--max-prompt-length)",
+                minimum=2048, maximum=32768, step=512, value=15360
             )
-        model_override_input = gr.Textbox(
-            label="自定义模型名 (--model)，留空则使用时间戳",
-            placeholder="e.g. my-llm-7b"
-        )
-        with gr.Row():
-            max_tokens_slider = gr.Slider(
-                label="Max Tokens (--max-tokens)",
-                minimum=256, maximum=8192, step=256, value=1024
-            )
-            min_tokens_slider = gr.Slider(
-                label="Min Tokens (--min-tokens)",
-                minimum=0, maximum=4096, step=64, value=1024
-            )
-        with gr.Row():
-            parallel_slider = gr.Slider(
-                label="并发请求数 (--parallel)",
-                minimum=1, maximum=16, step=1, value=1
-            )
-            num_req_slider = gr.Slider(
-                label="请求条数 (--number)",
-                minimum=1, maximum=1000, step=1, value=100
-            )
-        max_prompt_len_slider = gr.Slider(
-            label="最大 Prompt 长度 (--max-prompt-length)",
-            minimum=2048, maximum=32768, step=512, value=15360
-        )
 
     # ===== 输出形式 =====
     output_choices = gr.CheckboxGroup(
@@ -265,7 +274,7 @@ with gr.Blocks(title="EvalScope 全功能界面") as demo:
     input_choices.change(
         fn=enforce_input_exclusive_and_toggle_fields,
         inputs=input_choices,
-        outputs=[input_choices, api_fields]
+        outputs=[input_choices, api_fields, run_params_section]
     )
 
     run_button.click(