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"]
            )

    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)

    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)