Readded blog post link.

app.ipynb

@@ -205,8 +205,9 @@
     "title = 'Bear Classifier'\n",
     "description = 'My first AI model that can tell you whether an image contains a grizzly bear, a black bear, or a teddy bear. This model was trained on the ' \\\n",
     "              'ResNet18 architecture and used the fastai library.'\n",
-    "# article = \"<p style='text-align: center; font-size: 36px'><a href='https://forbo7.github.io/forblog/posts/2_bear_classifier_model.html' \" \\\n",
-    "#           \"targets='_blank'><Blog Post</a></p>\""
+    "article = \"\"\"\n",
+    "<p style='text-align: center; font-size: 36px'><a href='https://forbo7.github.io/forblog/posts/2_bear_classifier_model.html'>Blog Post</a></p>\n",
+    "\"\"\""
    ],
    "metadata": {
     "collapsed": false
@@ -272,11 +273,9 @@
     "    examples=examples,\n",
     "    title=title,\n",
     "    description=description,\n",
-    "\n",
+    "    article=article\n",
     ")\n",
     "\n",
-    "#     article=article\n",
-    "\n",
     "interface.launch(inline=False, enable_queue=True)"
    ],
    "metadata": {
@@ -294,7 +293,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 1,
    "outputs": [],
    "source": [
     "from nbdev.export import nb_export"
@@ -305,7 +304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 2,
    "outputs": [],
    "source": [
     "nb_export('app.ipynb', '.')"

app.py

@@ -1,7 +1,7 @@
 # AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
 
 # %% auto 0
-__all__ = ['learner', 'cats', 'img', 'lbl', 'examples', 'title', 'description', 'interface', 'classify_img']
+__all__ = ['learner', 'cats', 'img', 'lbl', 'examples', 'title', 'description', 'article', 'interface', 'classify_img']
 
 # %% app.ipynb 3
 from fastai.vision.all import *
@@ -25,8 +25,9 @@ examples = [str(img_path) for img_path in Path('example_images/').rglob('*.jpg')
 title = 'Bear Classifier'
 description = 'My first AI model that can tell you whether an image contains a grizzly bear, a black bear, or a teddy bear. This model was trained on the ' \
               'ResNet18 architecture and used the fastai library.'
-# article = "<p style='text-align: center; font-size: 36px'><a href='https://forbo7.github.io/forblog/posts/2_bear_classifier_model.html' " \
-#           "targets='_blank'><Blog Post</a></p>"
+article = """
+<p style='text-align: center; font-size: 36px'><a href='https://forbo7.github.io/forblog/posts/2_bear_classifier_model.html'>Blog Post</a></p>
+"""
 
 # %% app.ipynb 15
 interface = gr.Interface(
@@ -36,9 +37,7 @@ interface = gr.Interface(
     examples=examples,
     title=title,
     description=description,
-
+    article=article
 )
 
-#     article=article
-
 interface.launch(inline=False, enable_queue=True)