.

gradio_ui.py

@@ -1,9 +1,11 @@
 import gradio as gr
 
-def run_eval(inputs, native, other, outputs):
+def run_eval(inputs, native, other, outputs, api_url, api_token):
     result = (
         f"\n[Eval Started]\n"
         f"Inputs: {inputs}\n"
+        f"API URL: {api_url}\n"
+        f"API Token: {api_token}\n"
         f"Native Modules: {native}\n"
         f"Other Backends: {other}\n"
         f"Outputs: {outputs}\n"
@@ -11,6 +13,29 @@ def run_eval(inputs, native, other, outputs):
     )
     return result
 
+def enforce_input_exclusive_and_toggle_fields(selected):
+    group1 = {"API Models", "Local Models"}
+    group2 = {"Benchmarks", "Custom Datasets"}
+
+    def keep_only_one(group):
+        filtered = [item for item in selected if item in group]
+        return filtered[-1:]  # 只保留最后一个
+
+    final_selection = set(selected)
+    final_selection -= group1
+    final_selection |= set(keep_only_one(group1))
+
+    final_selection -= group2
+    final_selection |= set(keep_only_one(group2))
+
+    show_api_fields = "API Models" in final_selection
+
+    return (
+        gr.update(value=list(final_selection)),
+        gr.update(visible=show_api_fields),
+        gr.update(visible=show_api_fields)
+    )
+
 with gr.Blocks(title="EvalScope 全功能界面") as demo:
     with gr.Group():
         with gr.Row():
@@ -20,22 +45,23 @@ with gr.Blocks(title="EvalScope 全功能界面") as demo:
                 interactive=True
             )
 
+    with gr.Row(visible=False) as api_fields:
+        api_url_input = gr.Textbox(label="API 地址", placeholder="https://api.example.com/v1/chat")
+        api_token_input = gr.Textbox(label="Token 密钥", type="password", placeholder="sk-xxx")
+
     with gr.Row():
         with gr.Column():
-            with gr.Group():
             native_choices = gr.CheckboxGroup(
                 label="启用本地模块",
                 choices=["Model Adapter", "Data Adapter", "Evaluator", "Perf Monitor"]
             )
 
         with gr.Column():
-            with gr.Group():
             other_choices = gr.CheckboxGroup(
                 label="启用外部后端",
                 choices=["OpenCompass", "VLMEvalKit", "RAGAS", "MTEB/CMTEB"]
             )
 
-    with gr.Group():
     with gr.Row():
         output_choices = gr.CheckboxGroup(
             label="输出形式",
@@ -45,29 +71,18 @@ with gr.Blocks(title="EvalScope 全功能界面") as demo:
     run_button = gr.Button("Run Evaluation")
     output_text = gr.Textbox(label="执行结果", lines=10)
 
-    def enforce_input_exclusive(selected):
-        # 互斥组1
-        group1 = {"API Models", "Local Models"}
-        # 互斥组2
-        group2 = {"Benchmarks", "Custom Datasets"}
+    # 绑定输入源选择的变化，控制互斥+是否显示API字段
+    input_choices.change(
+        fn=enforce_input_exclusive_and_toggle_fields,
+        inputs=input_choices,
+        outputs=[input_choices, api_url_input, api_token_input]
+    )
 
-        # 判断是否需要清除某个组
-        def enforce_group_exclusive(group):
-            selected_set = set(selected)
-            selected_in_group = selected_set & group
-            if len(selected_in_group) > 1:
-                # 如果同时选中多个，就保留最后一个
-                last_selected = next((item for item in reversed(selected) if item in group), None)
-                return (selected_set - group) | {last_selected}
-            return selected_set
-
-        final_selection = enforce_group_exclusive(group1)
-        final_selection = enforce_group_exclusive(group2 | final_selection)
-        return list(final_selection)
-
-    input_choices.change(fn=enforce_input_exclusive, inputs=input_choices, outputs=input_choices)
-
-    run_button.click(run_eval, inputs=[input_choices, native_choices, other_choices, output_choices], outputs=output_text)
+    run_button.click(
+        run_eval,
+        inputs=[input_choices, native_choices, other_choices, output_choices, api_url_input, api_token_input],
+        outputs=output_text
+    )
 
 if __name__ == '__main__':
     demo.launch(server_name="0.0.0.0", server_port=7900)