import gradio as gr def run_eval(inputs, native, other, outputs): result = ( f"\n[Eval Started]\n" f"Inputs: {inputs}\n" f"Native Modules: {native}\n" f"Other Backends: {other}\n" f"Outputs: {outputs}\n" f"[Eval Finished]" ) return result with gr.Blocks(title="EvalScope 全功能界面") as demo: with gr.Group(): with gr.Row(): input_choices = gr.CheckboxGroup( label="选择输入源", choices=["API Models", "Local Models", "Benchmarks", "Custom Datasets"], interactive=True ) 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", choices=["Evaluation Report", "Gradio", "WandB", "Swanlab"] ) 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"} # 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) if __name__ == '__main__': demo.launch(server_name="0.0.0.0", server_port=7900)