mirror of
https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nopaque.git
synced 2024-11-15 01:05:42 +00:00
167 lines
7.9 KiB
Django/Jinja
167 lines
7.9 KiB
Django/Jinja
{% extends "base.html.j2" %}
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{% from "main/_breadcrumbs.html.j2" import breadcrumbs with context %}
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{% block page_content %}
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<div class="container">
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<div class="row">
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<div class="col s12">
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<h1 id="title">{{ title }}</h1>
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</div>
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<div class="col s12">
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<h3>My Corpora and Query results</h3>
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<p>Create a corpus to interactively perform linguistic analysis or import query results to save interesting passages.</p>
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<div class="row">
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<div class="col s12">
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<ul class="tabs">
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<li class="tab col s6"><a class="active" href="#corpora">Corpora</a></li>
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<li class="tab col s6"><a href="#query-results">Query results</a></li>
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</ul>
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</div>
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<div class="col s12 nopaque-ressource-list" data-ressource-type="Corpus" data-user-id="{{ current_user.hashid }}" id="corpora">
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<div class="card">
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<div class="card-content">
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<div class="input-field">
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<i class="material-icons prefix">search</i>
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<input id="search-corpus" class="search" type="search"></input>
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<label for="search-corpus">Search corpus</label>
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</div>
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<table>
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<thead>
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<tr>
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<th></th>
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<th>Title and Description</th>
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<th>Status</th>
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<th></th>
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</tr>
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</thead>
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<tbody class="list"></tbody>
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</table>
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<ul class="pagination"></ul>
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</div>
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<div class="card-action right-align">
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<a class="btn waves-effect waves-light" href="{{ url_for('corpora.import_corpus') }}"><i class="material-icons right">import_export</i>Import Corpus</a>
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<a class="btn waves-effect waves-light" href="{{ url_for('corpora.add_corpus') }}">New corpus<i class="material-icons right">add</i></a>
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</div>
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</div>
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</div>
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{# <div class="col s12 nopaque-ressource-list" data-ressource-type="QueryResult" data-user-id="{{ current_user.hashid }}" id="query-results"> #}
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<div class="col s12" id="query-results">
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<div class="card">
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<div class="card-content">
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<div class="input-field">
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<i class="material-icons prefix">search</i>
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<input id="search-query-results" class="search" type="search"></input>
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<label for="search-query-results">Search query result</label>
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</div>
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<table>
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<thead>
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<tr>
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<th>Title and Description</th>
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<th>Corpus and Query</th>
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<th></th>
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</tr>
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</thead>
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<tbody class="list"></tbody>
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</table>
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<ul class="pagination"></ul>
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</div>
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<div class="card-action right-align">
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<a class="waves-effect waves-light btn disabled">Add query result<i class="material-icons right">file_upload</i></a>
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</div>
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</div>
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</div>
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</div>
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</div>
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<div class="col s12 nopaque-ressource-list" data-ressource-type="Job" data-user-id="{{ current_user.hashid }}" id="jobs">
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<h3>My Jobs</h3>
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<p>
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A job is the execution of a service provided by nopaque. You can
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create any number of jobs and let them be processed simultaneously. We
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<b>strongly recommend</b> that you create a folder on your computer where you
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save the various files that nopaque provides you with after each
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pre-processing step. You will need the result of each step for the
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next step.
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</p>
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<p><b>Where is my Job data?</b> Don't worry, please read <a href="{{ url_for('main.news', _anchor='april-2022-update') }}">this news</a> entry</p>
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<div class="card">
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<div class="card-content">
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<div class="input-field">
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<i class="material-icons prefix">search</i>
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<input id="search-job" class="search" type="search"></input>
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<label for="search-job">Search job</label>
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</div>
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<table>
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<thead>
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<tr>
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<th>Service</th>
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<th>Title and Description</th>
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<th>Status</th>
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<th></th>
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</tr>
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</thead>
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<tbody class="list"></tbody>
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</table>
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<ul class="pagination"></ul>
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</div>
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<div class="card-action right-align">
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<p><a class="modal-trigger waves-effect waves-light btn" href="#" data-target="new-job-modal"><i class="material-icons left">add</i>New job</a></p>
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</div>
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</div>
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</div>
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</div>
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</div>
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{% endblock page_content %}
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{% block modals %}
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{{ super() }}
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<div id="new-job-modal" class="modal">
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<div class="modal-content">
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<h4>Select a service</h4>
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<p> </p>
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<div class="row">
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<div class="col s12 m4">
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<div class="card-panel center-align hoverable">
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<br>
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<a href="{{ url_for('services.file_setup_pipeline') }}" class="btn-floating btn-large waves-effect waves-light" style="transform: scale(2);">
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<i class="nopaque-icons service-color darken service-icon" data-service="file-setup-pipeline"></i>
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</a>
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<br><br>
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<p class="service-color-text darken" data-service="file-setup-pipeline"><b>File setup</b></p>
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<p class="light">Digital copies of text based research data (books, letters, etc.) often comprise various files and formats. nopaque converts and merges those files to facilitate further processing.</p>
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<a href="{{ url_for('services.file_setup_pipeline') }}" class="waves-effect waves-light btn service-color darken" data-service="file-setup-pipeline">Create Job</a>
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</div>
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</div>
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<div class="col s12 m4">
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<div class="card-panel center-align hoverable">
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<br>
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<a href="{{ url_for('services.tesseract_ocr_pipeline') }}" class="btn-floating btn-large waves-effect waves-light" style="transform: scale(2);">
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<i class="nopaque-icons service-color darken service-icon" data-service="tesseract-ocr-pipeline" style="font-size: 2.5rem;"></i>
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</a>
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<br><br>
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<p class="service-color-text darken" data-service="tesseract-ocr-pipeline"><b>Optical Character Recognition</b></p>
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<p class="light">nopaque converts your image data – like photos or scans – into text data through a process called OCR. This step enables you to proceed with further computational analysis of your documents.</p>
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<a href="{{ url_for('services.tesseract_ocr_pipeline') }}" class="waves-effect waves-light btn service-color darken" data-service="tesseract-ocr-pipeline">Create Job</a>
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</div>
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</div>
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<div class="col s12 m4">
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<div class="card-panel center-align hoverable">
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<br>
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<a href="{{ url_for('services.spacy_nlp_pipeline') }}" class="btn-floating btn-large waves-effect waves-light" style="transform: scale(2);">
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<i class="nopaque-icons service-color darken service-icon" data-service="spacy-nlp-pipeline" style="font-size: 2.5rem;"></i>
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</a>
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<br><br>
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<p class="service-color-text darken" data-service="spacy-nlp-pipeline"><b>Natural Language Processing</b></p>
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<p class="light">By means of computational linguistic data processing (tokenization, lemmatization, part-of-speech tagging and named-entity recognition) nopaque extracts additional information from your text.</p>
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<a href="{{ url_for('services.spacy_nlp_pipeline') }}" class="waves-effect waves-light btn service-color darken" data-service="spacy-nlp-pipeline">Create Job</a>
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</div>
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</div>
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</div>
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</div>
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<div class="modal-footer">
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<a href="#!" class="modal-close waves-effect waves-light btn-flat">Close</a>
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</div>
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</div>
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{% endblock modals %}
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