master-thesis/Tagging/90ManualTagger.ipynb

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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Manual Tagger Tool"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import ipywidgets as widgets"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "c7413a7a695a4770a65e4da2b6e11899",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"ToggleButtons(options=('Slow', 'Regular', 'Fast', 'Slow', 'Regular', 'Fast', 'Slow', 'Regular', 'Fast', 'Slow'…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\n",
"\n",
"widgets.ToggleButtons(\n",
" options=['Slow', 'Regular', 'Fast','Slow', 'Regular', 'Fast','Slow', 'Regular', 'Fast','Slow', 'Regular', 'Fast','Slow', 'Regular', 'Fast'],\n",
" disabled=False,\n",
" button_style='',#'success', #, 'info', 'warning', 'danger' or ''\n",
" tooltips=['Description of slow', 'Description of regular', 'Description of fast'],\n",
"# icons=['check'] * 3\n",
")\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"food_labels = ['0','action','ingredient','tool','container']"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [],
"source": [
"def create_label_layout_for_sent(sentence, labels):\n",
" assert len(sentence) == len(labels)\n",
" n = len(labels)\n",
" \n",
" token_containers = []\n",
" label_containers = []\n",
" \n",
" style = widgets.ToggleButtonsStyle()\n",
" style.button_width = \"80px\"\n",
" \n",
" for i in range(n):\n",
" text = widgets.Label(sentence[i])\n",
" label = widgets.ToggleButtons(options=food_labels, style=style)\n",
" label.value = labels[i]\n",
" \n",
" label_containers.append(label)\n",
" \n",
" token_containers.append(widgets.VBox([text,label]))\n",
" \n",
" \n",
" main_container = widgets.HBox(token_containers)\n",
" \n",
" display(main_container)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### single sentence test"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3806cdff0a0c4984a1aadfc94f8229df",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(VBox(children=(Label(value='this'), ToggleButtons(options=('0', 'action', 'ingredient', 'tool',…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"create_label_layout_for_sent([\"this\", \"is\", \"a\", \"very\", \"very\", \"very\", \"long\", \"sentence\"], [\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"0\",\"ingredient\"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.3"
}
},
"nbformat": 4,
"nbformat_minor": 4
}