Update lightning tour

website/index.jade

@@ -54,7 +54,7 @@ include _includes/_mixins
 .o-content
     +grid
         +grid-col("two-thirds")
-            +terminal("lightning_tour.py").
+            +terminal("lightning_tour.py", "More examples", "/usage/spacy-101#lightning-tour").
                 # Install: pip install spacy && spacy download en
                 import spacy
 
@@ -65,16 +65,18 @@ include _includes/_mixins
                 text = open('war_and_peace.txt').read()
                 doc = nlp(text)
 
-                # Hook in your own deep learning models
-                similarity_model = load_my_neural_network()
-                def install_similarity(doc):
-                    doc.user_hooks['similarity'] = similarity_model
-                nlp.pipeline.append(install_similarity)
+                # Find named entities, phrases and concepts
+                for entity in doc.ents:
+                    print(entity.text, entity.label_)
 
+                # Determine semantic similarities
                 doc1 = nlp(u'the fries were gross')
                 doc2 = nlp(u'worst fries ever')
                 doc1.similarity(doc2)
 
+                # Hook in your own deep learning models
+                nlp.add_pipe(load_my_model(), before='parser')
+
         +grid-col("third")
             +h(2) Features
             +list

website/usage/_spacy-101/_lightning-tour.jade

@@ -2,8 +2,7 @@
 
 p
     |  The following examples and code snippets give you an overview of spaCy's
-    |  functionality and its usage. If you're new to spaCy, make sure to check
-    |  out the #[+a("/usage/spacy-101") spaCy 101 guide].
+    |  functionality and its usage.
 
 +h(3, "lightning-tour-models") Install models and process text