pep8

chatter/chatterbot/__main__.py

@@ -1,6 +1,5 @@
 import sys
 
-
 if __name__ == '__main__':
     import importlib
 

chatter/chatterbot/corpus.py

@@ -5,7 +5,6 @@ View the corpus on GitHub at https://github.com/gunthercox/chatterbot-corpus
 
 from chatterbot_corpus import Corpus
 
-
 __all__ = (
     'Corpus',
 )

chatter/chatterbot/ext/sqlalchemy_app/models.py

@@ -29,7 +29,6 @@ class ModelBase(object):
 
 Base = declarative_base(cls=ModelBase)
 
-
 tag_association_table = Table(
     'tag_association',
     Base.metadata,

chatter/chatterbot/input/variable_input_type_adapter.py

@@ -5,7 +5,6 @@ from chatter.chatterbot.input import InputAdapter
 
 
 class VariableInputTypeAdapter(InputAdapter):
-
     JSON = 'json'
     TEXT = 'text'
     OBJECT = 'object'

chatter/chatterbot/storage/storage_adapter.py

@@ -157,7 +157,8 @@ class StorageAdapter(object):
 
     class EmptyDatabaseException(Exception):
 
-        def __init__(self, value='The database currently contains no entries. At least one entry is expected. You may need to train your chat bot to populate your database.'):
+        def __init__(self,
+                     value='The database currently contains no entries. At least one entry is expected. You may need to train your chat bot to populate your database.'):
             self.value = value
 
         def __str__(self):

chatter/chatterbot/trainers.py

@@ -393,7 +393,6 @@ class UbuntuCorpusTrainer(Trainer):
 
         file_kwargs = {}
 
-
         # Specify the encoding in Python versions 3 and up
         file_kwargs['encoding'] = 'utf-8'
         # WARNING: This might fail to read a unicode corpus file in Python 2.x

chatter/info.json

@@ -1,10 +1,30 @@
 {
-    "author" : ["Bobloy"],
-    "bot_version" : [3,0,0],
+  "author": [
+    "Bobloy"
+  ],
+  "bot_version": [
+    3,
+    0,
+    0
+  ],
   "description": "Create an offline chatbot that talks like your average member using Machine Learning",
   "hidden": false,
   "install_msg": "Thank you for installing Chatter!",
-    "requirements" : ["sqlalchemy<1.3,>=1.2", "python-twitter<4.0,>=3.0", "python-dateutil<2.7,>=2.6", "pymongo<4.0,>=3.3", "nltk<4.0,>=3.2", "mathparse<0.2,>=0.1", "chatterbot-corpus<1.2,>=1.1"],
+  "requirements": [
+    "sqlalchemy<1.3,>=1.2",
+    "python-twitter<4.0,>=3.0",
+    "python-dateutil<2.7,>=2.6",
+    "pymongo<4.0,>=3.3",
+    "nltk<4.0,>=3.2",
+    "mathparse<0.2,>=0.1",
+    "chatterbot-corpus<1.2,>=1.1"
+  ],
   "short": "Local Chatbot run on machine learning",
-    "tags" : ["chat", "chatbot", "cleverbot", "clever","bobloy"]
+  "tags": [
+    "chat",
+    "chatbot",
+    "cleverbot",
+    "clever",
+    "bobloy"
+  ]
 }