def build_single_answer_browser_tab()

in fastchat/llm_judge/qa_browser.py [0:0]

• 54 lines of code
• 7 McCabe index (conditional complexity)

def build_single_answer_browser_tab():
    global question_selector_map, category_selector_map

    models = list(model_answers.keys())
    num_sides = 1
    num_turns = 2
    side_names = ["A"]

    question_selector_choices = list(question_selector_map.keys())
    category_selector_choices = list(category_selector_map.keys())

    # Selectors
    with gr.Row():
        with gr.Column(scale=1, min_width=200):
            category_selector = gr.Dropdown(
                choices=category_selector_choices, label="Category", container=False
            )
        with gr.Column(scale=100):
            question_selector = gr.Dropdown(
                choices=question_selector_choices, label="Question", container=False
            )

    model_selectors = [None] * num_sides
    with gr.Row():
        for i in range(num_sides):
            with gr.Column():
                model_selectors[i] = gr.Dropdown(
                    choices=models,
                    value=models[i] if len(models) > i else "",
                    label=f"Model {side_names[i]}",
                    container=False,
                )

    # Conversation
    chat_mds = []
    for i in range(num_turns):
        chat_mds.append(gr.Markdown(elem_id=f"user_question_{i+1}"))
        with gr.Row():
            for j in range(num_sides):
                with gr.Column(scale=100):
                    chat_mds.append(gr.Markdown())

                if j == 0:
                    with gr.Column(scale=1, min_width=8):
                        gr.Markdown()

    reference = gr.Markdown(elem_id=f"reference")
    chat_mds.append(reference)

    model_explanation = gr.Markdown(elem_id="model_explanation")
    model_explanation2 = gr.Markdown(elem_id="model_explanation")

    # Callbacks
    category_selector.change(display_question, [category_selector], [question_selector])
    question_selector.change(
        display_single_answer,
        [question_selector] + model_selectors,
        chat_mds + [model_explanation] + [model_explanation2],
    )

    for i in range(num_sides):
        model_selectors[i].change(
            display_single_answer,
            [question_selector] + model_selectors,
            chat_mds + [model_explanation] + [model_explanation2],
        )

    return (category_selector,)