dev(narugo): use text output

import io

import json

import os

import warnings

                            gr_cate_label = gr.Label(f'{titleize(self._category_names[category])} Prediction')

                            gr_preds.append(gr_cate_label)

                    with gr.Tab('Text Output'):

                        gr_text_output = gr.TextArea(label="Output (string)", lines=15)

            def _fn_submit(image, _use_tag_thresholds, *thresholds):

                if _use_tag_thresholds:

                    _ths = None

                    use_tag_thresholds=_use_tag_thresholds,

                    fmt=fmt,

                )

                return res[0] if len(fmt) == 1 else res

                with io.StringIO() as sf:

                    for category, res_item in  zip(sorted(set(df_tags['category'].tolist())), res):

                        print(f'# {self._category_names[category]} (#{category}):', file=sf)

                        print(', '.join(res_item.keys()), file=sf)

                        print('', file=sf)

                    return sf.getvalue(), *res

            gr_submit.click(

                fn=_fn_submit,

                inputs=[gr_input_image, gr_use_tag_thresholds, *gr_thresholds],

                outputs=[*gr_preds]

                outputs=[gr_text_output, *gr_preds]

            )

    def launch_demo(self, default_thresholds: Union[float, Dict[Any, float]] = None,