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MRPC_test.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:38636677a6596547dbe8131aa61cd65d61024a9c23a95b232bc5ea328d674918
+size 154775393

MRPC_train.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b8f8b408096781dbcefa7836c235e9c2d9e7f13ff0b07f2d9310bcd5ad78c1ae
+size 346722948

SNLI_test.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b7b0c2310bfeed95103a18b2959d1a223871875e4ac3fba0738c8976dc96fb05
+size 160523041

SNLI_train.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:02366a41fdd982208483bbd81393977cd0e6f29d0759205682cf0d853a560838
+size 157516248

SQuAD_train.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4489bfc24f9520e74f343b9b78cd6c3aeba3886db3a42ddc06ad7fba6dea08ca
+size 93601430

SQuAD_validation.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b8d5ef288a9e557329c9efca6c9d9b949d5914123a6c2277cc590ca06d2fd603
+size 75141994

app.py

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+"""This files enables serving Panel apps on Hugging Face Spaces"""
+import os
+from subprocess import Popen
+
+# CONFIGURE YOUR SETTINGS HERE
+
+# Space separated list of .py or .ipynb files to serve
+APPS_TO_SERVE = "secretlanguage.py"
+# Prefix of the index .py or .ipynb file. Must be in APPS_TO_SERVE too
+INDEX_PAGE = "secretlanguage"
+
+# NORMALLY NO NEED TO CHANGE THE BELOW
+PORT = os.environ.get("PORT", "7860")
+ADDRESS = "0.0.0.0"
+command = [
+    "panel",
+    "serve",
+    *APPS_TO_SERVE.split(" "),
+    "--index",
+    INDEX_PAGE,
+    "--port",
+    PORT,
+    "--address",
+    ADDRESS,
+    "--allow-websocket-origin",
+    "localhost",
+    "--allow-websocket-origin",
+    "*.hf.space",
+    "--allow-websocket-origin",
+    "*.huggingface.co",
+    # "--log-level",
+    # "debug"
+]
+if os.name != "nt":
+    command = command + ["--num-procs", "4", "--num-threads", "4"] 
+
+print(" ".join(command))
+worker = Popen(command) 
+worker.wait()

requirements.txt

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+param
+pickle
+pandas
+panel

secretlanguage.py

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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)
+    
+    @param.depends('dataset', 'split')
+    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
+
+    @param.depends('dataset', 'split', 'data')
+    def summary(self):
+        return self.data().describe()
+    
+#     @param.depends('data', 'stop')
+#     def table(self):
+#         return self.data()[self.start:self.stop]
+    
+    @param.depends('dataset', 'split', 'start', '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)