remove manual modal

app/templates/main/_manual/06_services.html.j2

@@ -0,0 +1,106 @@
+<h2>Services</h2>
+<div class="row">
+  <div class="col s12 m4">
+    <br class="hide-on-small-only">
+    <img alt="Services" class="materialboxed responsive-img" src="{{ url_for('static', filename='images/manual/services.png') }}">
+  </div>
+
+  <div class="col s12 m8">
+    <p>
+      nopaque was designed from the ground up to be modular. This modularity
+      means that the offered workflow provides variable entry and exit points,
+      so that different starting points and goals can be flexibly addressed.
+      Each of these modules are implemented in a self-contained service, each of
+      which represents a step in the workflow. The services are coordinated in
+      such a way that they can be used consecutively. The order can either be
+      taken from the listing of the services in the left sidebar or from the
+      roadmap (accessible via the pink compass in the upper right corner). All
+      services are versioned, so the data generated with nopaque is always
+      reproducible.
+    </p>
+  </div>
+</div>
+
+<h3>File Setup</h3>
+<p>
+  The <a href="{{ url_for('services.file_setup_pipeline') }}">File Setup Service</a> bundles image data, such as scans and photos,
+  together in a handy PDF file. To use this service, use the job form to
+  select the images to be bundled, choose the desired service version, and
+  specify a title and description. Please note that the service sorts the
+  images into the resulting PDF file based on the file names. So naming the
+  images correctly is of great importance. It has proven to be a good practice
+  to name the files according to the following scheme:
+  page-01.png, page-02.jpg, page-03.tiff, etc. In general, you can assume
+  that the images will be sorted in the order in which the file explorer of
+  your operating system lists them when you view the files in a folder
+  sorted in ascending order by file name.
+</p>
+
+<h3>Optical Character Recognition (OCR)</h3>
+<p>Coming soon...</p>
+
+<h3>Handwritten Text Recognition (HTR)</h3>
+<p>Coming soon...</p>
+
+<h3>Natural Language Processing (NLP)</h3>
+<p>Coming soon...</p>
+
+<h3>Corpus Analysis</h3>
+<p>
+  With the corpus analysis service, it is possible to create a text corpus
+  and then explore it in an analysis session. The analysis session is realized
+  on the server side by the Open Corpus Workbench software, which enables
+  efficient and complex searches with the help of the CQP Query Language.
+</p>
+
+<div class="row">
+  <div class="col s12 m4">
+    <br class="hide-on-small-only">
+    <img alt="Create a Corpus" class="materialboxed responsive-img" src="{{ url_for('static', filename='images/manual/create-a-corpus.png') }}">
+  </div>
+
+  <div class="col s12 m8">
+    <p>
+      To <a href="{{ url_for('corpora.create_corpus') }}">create a corpus</a>, you
+      can use the "New Corpus" button, which can be found on both the Corpus
+      Analysis Service page and the Dashboard below the corpus list. Fill in the input
+      mask to Create a corpus. After you have completed the input mask, you will
+      be automatically taken to the corpus overview page (which can be called up
+      again via the corpus lists) of your new and accordingly still empty corpus.
+    </p>
+  </div>
+</div>
+
+<div class="row">
+  <div class="col s12 m4">
+    <br class="hide-on-small-only">
+    <img alt="Create a Corpus" class="materialboxed responsive-img" src="{{ url_for('static', filename='images/manual/add-corpus-file.png') }}">
+  </div>
+
+  <div class="col s12 m8">
+    <p>
+      Now you can add texts in vrt format (results of the NLP service) to your new
+      corpus. To do this, use the "Add Corpus File" button and fill in the form
+      that appears. You will get the possibility to add metadata to each text.
+      After you have added all the desired texts to the corpus, the corpus must be
+      prepared for the analysis, this process can be initiated by clicking on the
+      "Build" button. On the corpus overview page you can always see information
+      about the current status of the corpus in the upper right corner. After the
+      build process the status should be "built".
+    </p>
+  </div>
+</div>
+
+<h4>Analyze a corpus</h4>
+<p>
+  After you have created and built a corpus, it can be analyzed. To do this,
+  use the button labeled Analyze. The corpus analysis currently offers two
+  modules, the Reader and the Concordance module. The reader module can be
+  used to read your tokenized corpus in different ways. You can select a token
+  representation option, it determines the property of a token to be shown.
+  You can for example read your text completly lemmatized. You can also change
+  the way of how a token is displayed, by using the text style switch. The
+  concordance module offers some more options regarding the context size of
+  search results. If the context does not provide enough information you can
+  hop into the reader module by using the magnifier icon next to a match.
+</p>