fastchat/llm_judge/qa_browser.py [229:253]:
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                    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(
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fastchat/llm_judge/qa_browser.py [298:323]:
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                    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(
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