Could you guys make a choice to support no NER labels?

[NaiveOtaku]

some thing like the following?
some nlp tasks do not have labels but only want to detect the keyword and their importance.
if I passed label='' there is still a span, and have some extra spaces.
`
color_style = {}
if color:
color_style['color'] = color
if not background:
label_sum = sum(ord(c) for c in label)
background_color = PALETTE[label_sum % len(PALETTE)]
background_opacity = OPACITIES[label_sum % len(OPACITIES)]
background = background_color + background_opacity

if label:

    return (
        span(
            style=styles(
                background=background,
                border_radius=rem(0.33),
                padding=(rem(0.125), rem(0.5)),
                overflow="hidden",
                **color_style,
                **style,
            ))(

            html.escape(body),

            span(
                style=styles(
                    padding_left=rem(0.5),
                    text_transform="uppercase",
                ))(
                span(
                    style=styles(
                        font_size=em(0.67),
                        opacity=0.5,
                    ))(
                    html.escape(label),
                ),
            ),
        )
    )
else:
    return (
        span(
            style=styles(
                background=background,
                border_radius=rem(0.33),
                padding=(rem(0.125), rem(0.5)),
                overflow="hidden",
                **color_style,
                **style,
            ))(

            html.escape(body),

        )
    )`

currently I need modify the original code to achieve this function.
so I hope you guys could add this features to support non label keyword notations. and if there could be a color gradient by just passing point end color and gradient coefficient will be more nice.

another issue.
I don't think the *args support too many items. so I would recommend to passes a list instread of *args.

*args usually used when the args are different but have a limited size. in this case it is not, if we wan't passed a large context it will fail.

when the text is so much the speed will be really slow.

hope you guys could take a look at those issues.

Sincerely.