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| import param | |
| import panel as pn | |
| pn.extension(sizing_mode="stretch_width") | |
| import pickle | |
| import pandas as pd | |
| css = ['https://cdn.datatables.net/1.10.24/css/jquery.dataTables.min.css', | |
| # Below: Needed for export buttons | |
| 'https://cdn.datatables.net/buttons/1.7.0/css/buttons.dataTables.min.css' | |
| ] | |
| js = { | |
| '$': 'https://code.jquery.com/jquery-3.5.1.js', | |
| 'DataTable': 'https://cdn.datatables.net/1.10.24/js/jquery.dataTables.min.js', | |
| # Below: Needed for export buttons | |
| 'buttons': 'https://cdn.datatables.net/buttons/1.7.0/js/dataTables.buttons.min.js', | |
| 'jszip': 'https://cdnjs.cloudflare.com/ajax/libs/jszip/3.1.3/jszip.min.js', | |
| 'pdfmake': 'https://cdnjs.cloudflare.com/ajax/libs/pdfmake/0.1.53/pdfmake.min.js', | |
| 'vfsfonts': 'https://cdnjs.cloudflare.com/ajax/libs/pdfmake/0.1.53/vfs_fonts.js', | |
| 'html5buttons': 'https://cdn.datatables.net/buttons/1.7.0/js/buttons.html5.min.js', | |
| } | |
| pn.extension(css_files=css, js_files=js) | |
| script = """ | |
| <script> | |
| if (document.readyState === "complete") { | |
| $('.example').DataTable(); | |
| } else { | |
| $(document).ready(function () { | |
| $('.example').DataTable(); | |
| }) | |
| } | |
| </script> | |
| """ | |
| # html = autompg.to_html(classes=['example', 'panel-df']) | |
| class ReactiveTables(param.Parameterized): | |
| dataset = param.ObjectSelector(default='SNLI (DistillBERT)', objects=['SNLI (DistillBERT)', 'MRPC (ALBERT)', 'SQuAD (Roberta)']) | |
| split = param.ObjectSelector(default='train', objects=['train', 'validation or test']) | |
| start = param.Integer(1) | |
| stop = param.Integer(200) | |
| def data(self): | |
| _path = f'{self.dataset.split(" ")[0]}_{self.split}.pkl' | |
| if self.split != 'train': | |
| _path = _path.replace('validation or test', 'validation' if 'SQuAD' in self.dataset else 'test') | |
| dataframe = pickle.load(open(_path, 'rb')) | |
| return dataframe | |
| def summary(self): | |
| return self.data().describe() | |
| # @param.depends('data', 'stop') | |
| # def table(self): | |
| # return self.data()[self.start:self.stop] | |
| def table_ours(self): | |
| return pn.pane.HTML(self.data()[self.start:self.stop + 1].to_html(classes=['example', 'panel-df']) + script, | |
| sizing_mode='stretch_width') | |
| def panel(self): | |
| return pn.Row( | |
| pn.Param(self, name="Settings", width=300, sizing_mode="fixed"), | |
| pn.Column( | |
| "## Description", self.summary, | |
| "## Table", self.table_ours, | |
| width=2000, | |
| # sizing_mode='stretch_height' | |
| ) | |
| , sizing_mode="stretch_width" | |
| ) | |
| component = ReactiveTables().panel() | |
| # dash = | |
| pn.template.FastListTemplate(site="ACL 23 Submission", title="Finding Secret Language of Language Models", | |
| main=[ | |
| "This page presents some secret languages discovered by our proposed SecretFinding algorithm on three multi-sentence datasets. To ensure optimal performance of this webapp, we recommend presenting less than 2000 data at a time.", | |
| component | |
| ]).servable() | |
| # pn.serve(dash) | |