From 7f0f674a1bccfa96bee3dad4683c7e4f4c68ac30 Mon Sep 17 00:00:00 2001
From: Ines Montani <ines@ines.io>
Date: Mon, 14 Jun 2021 10:18:06 +1000
Subject: [PATCH] Fix universe.json and auto-format [ci skip]

---
 website/meta/universe.json | 36 ++++++++++++++++++------------------
 1 file changed, 18 insertions(+), 18 deletions(-)

diff --git a/website/meta/universe.json b/website/meta/universe.json
index 32363e5d3..6d061ff0a 100644
--- a/website/meta/universe.json
+++ b/website/meta/universe.json
@@ -14,14 +14,14 @@
                 "client.entities('John Doe is a Go Developer at Google')",
                 "# [{'end': 8, 'start': 0, 'text': 'John Doe', 'type': 'PERSON'}, {'end': 25, 'start': 13, 'text': 'Go Developer', 'type': 'POSITION'}, {'end': 35,'start': 30, 'text': 'Google', 'type': 'ORG'}]"
             ],
-            "thumb":"https://avatars.githubusercontent.com/u/77671902",
-            "image":"https://nlpcloud.io/assets/images/logo.svg",
+            "thumb": "https://avatars.githubusercontent.com/u/77671902",
+            "image": "https://nlpcloud.io/assets/images/logo.svg",
             "code_language": "python",
             "author": "NLPCloud.io",
             "author_links": {
-            "github": "nlpcloud",
-            "twitter": "cloud_nlp",
-            "website": "https://nlpcloud.io"   
+                "github": "nlpcloud",
+                "twitter": "cloud_nlp",
+                "website": "https://nlpcloud.io"
             },
             "category": ["apis", "nonpython", "standalone"],
             "tags": ["api", "deploy", "production"]
@@ -42,17 +42,17 @@
                 "print(doc._.person_name)",
                 "# ['Meghana S.R Bhange', 'Asha']"
             ],
-            "thumb":"https://i.ibb.co/jwGVWPZ/rainbow-bohemian-logo-removebg-preview.png",
+            "thumb": "https://i.ibb.co/jwGVWPZ/rainbow-bohemian-logo-removebg-preview.png",
             "code_language": "python",
             "author": "Meghana Bhange",
             "author_links": {
-            "github": "meghanabhange",
-            "twitter": "_aspiringcat"
+                "github": "meghanabhange",
+                "twitter": "_aspiringcat"
             },
             "category": ["standalone"],
             "tags": ["person-name-detection"]
         },
-	{
+        {
             "id": "eMFDscore",
             "title": "eMFDscore : Extended Moral Foundation Dictionary Scoring for Python",
             "slogan": "Extended Moral Foundation Dictionary Scoring for Python",
@@ -65,20 +65,20 @@
                 "DICT_TYPE = 'emfd'",
                 "PROB_MAP = 'single'",
                 "SCORE_METHOD = 'bow'",
-		"OUT_METRICS = 'vice-virtue'",
-		"OUT_CSV_PATH = 'single-vv.csv'",
-		"df = score_docs(template_input,DICT_TYPE,PROB_MAP,SCORE_METHOD,OUT_METRICS,num_docs)",
+                "OUT_METRICS = 'vice-virtue'",
+                "OUT_CSV_PATH = 'single-vv.csv'",
+                "df = score_docs(template_input,DICT_TYPE,PROB_MAP,SCORE_METHOD,OUT_METRICS,num_docs)"
             ],
             "code_language": "python",
             "author": "Media Neuroscience Lab",
             "author_links": {
-            "github": "medianeuroscience",
-            "twitter": "medianeuro"
+                "github": "medianeuroscience",
+                "twitter": "medianeuro"
             },
             "category": ["research", "teaching"],
             "tags": ["morality", "dictionary", "sentiment"]
         },
-	      {
+        {
             "id": "skweak",
             "title": "skweak",
             "slogan": "Weak supervision for NLP",
@@ -2087,9 +2087,9 @@
                 "",
                 "# Load an spacy model (supported models are \"es\" and \"en\") ",
                 "nlp = spacy.load('en')",
-		"# Spacy 3.x",
-		"nlp.add_pipe(\"spacy_wordnet\", after='tagger', config={'lang': nlp.lang})",
-		"# Spacy 2.x",
+                "# Spacy 3.x",
+                "nlp.add_pipe(\"spacy_wordnet\", after='tagger', config={'lang': nlp.lang})",
+                "# Spacy 2.x",
                 "# nlp.add_pipe(WordnetAnnotator(nlp.lang), after='tagger')",
                 "token = nlp('prices')[0]",
                 "",