nopaque/app/templates/services/spacy_nlp_pipeline.html.j2
2024-11-14 14:36:18 +01:00

175 lines
7.0 KiB
Django/Jinja

{% extends "base.html.j2" %}
{% import "wtf.html.j2" as wtf %}
{% block main_attribs %}class="service-color lighten" data-service="spacy-nlp-pipeline"{% endblock main_attribs %}
{% block page_content %}
<div class="container">
<div class="row">
<div class="col s12">
<h1 id="title">{{ title }}</h1>
</div>
<div class="col s12 m3 push-m9">
<div class="center-align">
<p class="hide-on-small-only">&nbsp;</p>
<p class="hide-on-small-only">&nbsp;</p>
<i class="large nopaque-icons service-icons service-color-text text-darken" data-service="spacy-nlp-pipeline"></i>
</div>
</div>
<div class="col s12 m9 pull-m3">
<div class="card service-color-border border-darken" data-service="spacy-nlp-pipeline" style="border-top: 10px solid;">
<div class="card-content">
<div class="row">
<div class="col s12 m6">
<div class="card-panel z-depth-0">
<span class="card-title"><i class="left material-icons">layers</i>Tokenization</span>
<p>Your text is split up into sentences and words, so called tokens, which can then be analyzed.</p>
</div>
</div>
<div class="col s12 m6">
<div class="card-panel z-depth-0">
<span class="card-title"><i class="left material-icons">layers</i>Lemmatization</span>
<p>All inflected forms of a word are grouped together so that it can be analyzed as a single item.</p>
</div>
</div>
<div class="col s12 m6">
<div class="card-panel z-depth-0">
<span class="card-title"><i class="left material-icons">layers</i>Part-of-speech Tagging</span>
<p>In accordance with its definition and context, each word is marked up as corresponding to a particular part of speech.</p>
</div>
</div>
<div class="col s12 m6">
<div class="card-panel z-depth-0">
<span class="card-title"><i class="left material-icons">layers</i>Named-Entity Recognition</span>
<p>Named entities are located and classified into specific categories like persons or locations.</p>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="col s12">
<h2>Submit a job</h2>
<div class="card">
<form class="create-job-form" enctype="multipart/form-data" method="POST">
<div class="card-content">
{{ form.hidden_tag() }}
<div class="row">
<div class="col s12 l4">
{{ wtf.render_field(form.title, material_icon='title') }}
</div>
<div class="col s12 l8">
{{ wtf.render_field(form.description, material_icon='description') }}
</div>
<div class="col s12 l5">
{{ wtf.render_field(form.txt, accept='text/plain', placeholder='Choose a plain text file') }}
</div>
<div class="col s12 l4">
<div class="input-field">
<i class="material-icons prefix">language</i>
{{ form.model() }}
{{ form.model.label }}
<span class="helper-text">
<a class="modal-trigger tooltipped" href="#models-modal" data-position="bottom" data-tooltip="See more information about models"><i class="material-icons">help_outline</i></a>
<a class="tooltipped" href="{{ url_for('spacy_nlp_pipeline_models.create') }}" data-position="bottom" data-tooltip="Add your own spaCy NLP models"><i class="material-icons">new_label</i></a>
</span>
</div>
</div>
<div class="col s12 l3">
{{ wtf.render_field(form.version, material_icon='apps') }}
</div>
<div class="col s12">
<span class="card-title">Preprocessing</span>
</div>
{% if 'disabled' not in form.encoding_detection.render_kw or not form.encoding_detection.render_kw['disabled'] %}
<div class="col s9">
<p>{{ form.encoding_detection.label.text }}</p>
<p class="light">If the input files are not created with the nopaque OCR service or you do not know if your text files are UTF-8 encoded, check this switch. We will try to automatically determine the right encoding for your texts to process them.</p>
</div>
<div class="col s3 right-align">
<div class="switch">
<label>
{{ form.encoding_detection() }}
<span class="lever"></span>
</label>
</div>
</div>
{% endif %}
<!--
Seperate each setting with the following
<div class="col s12"><p>&nbsp;</p></div>
<div class="col s12 divider"></div>
<div class="col s12"><p>&nbsp;</p></div>
-->
</div>
</div>
<div class="card-action right-align">
{{ wtf.render_field(form.submit, material_icon='send') }}
</div>
</form>
</div>
</div>
</div>
</div>
{% endblock page_content %}
{% block modals %}
{{ super() }}
<div id="progress-modal" class="modal">
<div class="modal-content">
<h4><i class="material-icons prefix">file_upload</i> Uploading files...</h4>
<div class="progress">
<div class="determinate" style="width: 0%"></div>
</div>
</div>
<div class="modal-footer">
<a href="#!" class="modal-close waves-effect waves-light btn red abort-request">Cancel</a>
</div>
</div>
<div id="models-modal" class="modal">
<div class="modal-content">
<h4>spaCy NLP Pipeline models</h4>
<table>
<thead>
<tr>
<th>Title</th>
<th>Description</th>
<th>Biblio</th>
</tr>
</thead>
<tbody>
{% for m in spacy_nlp_pipeline_models %}
<tr id="spacy-nlp-pipeline-model-{{ m.hashid }}">
<td>{{ m.title }}</td>
{% if m.description == '' %}
<td>Description is not available.</td>
{% else %}
<td>{{ m.description }}</td>
{% endif %}
<td><a href="{{ m.publisher_url }}">{{ m.publisher }}</a> ({{ m.publishing_year }}), {{ m.title }} {{ m.version}}, <a href="{{ m.publishing_url }}">{{ m.publishing_url }}</a></td>
</tr>
{% endfor %}
</tbody>
</table>
</div>
<div class="modal-footer">
<a href="#!" class="modal-close waves-effect waves-light btn">Close</a>
</div>
</div>
{% endblock modals %}
{% block scripts %}
{{ super() }}
<script>
// Disable user model selection if no models are available
{% if user_spacy_nlp_pipeline_models_count == 0 %}
optionGroupOptions = document.querySelectorAll(".optgroup-option");
optionGroupOptions[0].classList.add("disabled");
{% endif %}
</script>
{% endblock scripts %}