def build_demo()

in web_demo.py [0:0]


def build_demo(args):
    # fetch model
    if not args.lazy_load:
        fetch_model(args.model_name)

    with open("deepseek_vl2/serve/assets/custom.css", "r", encoding="utf-8") as f:
        customCSS = f.read()

    with gr.Blocks(theme=gr.themes.Soft()) as demo:
        history = gr.State([])
        input_text = gr.State()
        input_images = gr.State()

        with gr.Row():
            gr.HTML(title)
            status_display = gr.Markdown("Success", elem_id="status_display")
        gr.Markdown(description_top)

        with gr.Row(equal_height=True):
            with gr.Column(scale=4):
                with gr.Row():
                    chatbot = gr.Chatbot(
                        elem_id="deepseek_chatbot",
                        show_share_button=True,
                        bubble_full_width=False,
                        height=600,
                    )
                with gr.Row():
                    with gr.Column(scale=4):
                        text_box = gr.Textbox(
                            show_label=False, placeholder="Enter text", container=False
                        )
                    with gr.Column(
                        min_width=70,
                    ):
                        submitBtn = gr.Button("Send")
                    with gr.Column(
                        min_width=70,
                    ):
                        cancelBtn = gr.Button("Stop")
                with gr.Row():
                    emptyBtn = gr.Button(
                        "๐Ÿงน New Conversation",
                    )
                    retryBtn = gr.Button("๐Ÿ”„ Regenerate")
                    delLastBtn = gr.Button("๐Ÿ—‘๏ธ Remove Last Turn")

            with gr.Column():
                upload_images = gr.Files(file_types=["image"], show_label=True)
                gallery = gr.Gallery(columns=[3], height="200px", show_label=True)

                upload_images.change(preview_images, inputs=upload_images, outputs=gallery)

                with gr.Tab(label="Parameter Setting") as parameter_row:
                    top_p = gr.Slider(
                        minimum=-0,
                        maximum=1.0,
                        value=0.9,
                        step=0.05,
                        interactive=True,
                        label="Top-p",
                    )
                    temperature = gr.Slider(
                        minimum=0,
                        maximum=1.0,
                        value=0.1,
                        step=0.1,
                        interactive=True,
                        label="Temperature",
                    )
                    repetition_penalty = gr.Slider(
                        minimum=0.0,
                        maximum=2.0,
                        value=1.1,
                        step=0.1,
                        interactive=True,
                        label="Repetition penalty",
                    )
                    max_length_tokens = gr.Slider(
                        minimum=0,
                        maximum=4096,
                        value=2048,
                        step=8,
                        interactive=True,
                        label="Max Generation Tokens",
                    )
                    max_context_length_tokens = gr.Slider(
                        minimum=0,
                        maximum=8192,
                        value=4096,
                        step=128,
                        interactive=True,
                        label="Max History Tokens",
                    )
                    model_select_dropdown = gr.Dropdown(
                        label="Select Models",
                        choices=[args.model_name],
                        multiselect=False,
                        value=args.model_name,
                        interactive=True,
                    )

                    # show images, but not visible
                    show_images = gr.HTML(visible=False)
                    # show_images = gr.Image(type="pil", interactive=False, visible=False)

        def format_examples(examples_list):
            examples = []
            for images, texts in examples_list:
                examples.append([images, display_example(images), texts])

            return examples

        gr.Examples(
            examples=format_examples(examples_list),
            inputs=[upload_images, show_images, text_box],
        )

        gr.Markdown(description)

        input_widgets = [
            input_text,
            input_images,
            chatbot,
            history,
            top_p,
            temperature,
            repetition_penalty,
            max_length_tokens,
            max_context_length_tokens,
            model_select_dropdown,
        ]
        output_widgets = [chatbot, history, status_display]

        transfer_input_args = dict(
            fn=transfer_input,
            inputs=[text_box, upload_images],
            outputs=[input_text, input_images, text_box, upload_images, submitBtn],
            show_progress=True,
        )

        predict_args = dict(
            fn=predict,
            inputs=input_widgets,
            outputs=output_widgets,
            show_progress=True,
        )

        retry_args = dict(
            fn=retry,
            inputs=input_widgets,
            outputs=output_widgets,
            show_progress=True,
        )

        reset_args = dict(
            fn=reset_textbox, inputs=[], outputs=[text_box, status_display]
        )

        predict_events = [
            text_box.submit(**transfer_input_args).then(**predict_args),
            submitBtn.click(**transfer_input_args).then(**predict_args),
        ]

        emptyBtn.click(reset_state, outputs=output_widgets, show_progress=True)
        emptyBtn.click(**reset_args)
        retryBtn.click(**retry_args)

        delLastBtn.click(
            delete_last_conversation,
            [chatbot, history],
            output_widgets,
            show_progress=True,
        )

        cancelBtn.click(cancel_outputing, [], [status_display], cancels=predict_events)

    return demo