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| import gradio as gr | |
| import pandas as pd | |
| from widgets.widget_base import Widget | |
| from data_measurements.dataset_statistics import DatasetStatisticsCacheClass as dmt_cls | |
| from utils.dataset_utils import HF_DESC_FIELD | |
| import utils | |
| logs = utils.prepare_logging(__file__) | |
| class DatasetDescription(Widget): | |
| def __init__(self, dataset_name_to_dict): | |
| self.dataset_name_to_dict = dataset_name_to_dict | |
| self.description_markdown = gr.Markdown(render=False) | |
| self.description_df = gr.DataFrame(render=False, wrap=True) | |
| def render(self): | |
| with gr.TabItem("Dataset Description",): | |
| self.description_markdown.render() | |
| self.description_df.render() | |
| def update(self, dstats: dmt_cls): | |
| return { | |
| self.description_markdown: self.dataset_name_to_dict[dstats.dset_name][ | |
| dstats.dset_config | |
| ][HF_DESC_FIELD], | |
| self.description_df: pd.DataFrame(dstats.dset_peek), | |
| } | |
| def add_events(self, state: gr.State): | |
| pass | |
| def output_components(self): | |
| return [self.description_markdown, self.description_df] | |