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OSError: [E050] Can't find model 'en'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory.

See original GitHub issue

from chatterbot.trainers import ChatterBotCorpusTrainer

chatbot = ChatBot('Ron Obvious')

# Create a new trainer for the chatbot
trainer = ChatterBotCorpusTrainer(chatbot)

# Train the chatbot based on the english corpus
trainer.train("chatterbot.corpus.english")

# Get a response to an input statement
chatbot.get_response("Hello, how are you today?")```




output as 


---------------------------------------------------------------------------
OSError                                   Traceback (most recent call last)
<ipython-input-1-f8d70b5b4e6a> in <module>
      2 from chatterbot.trainers import ChatterBotCorpusTrainer
      3 
----> 4 chatbot = ChatBot('Ron Obvious')
      5 
      6 # Create a new trainer for the chatbot

~\Anaconda3\lib\site-packages\chatterbot\chatterbot.py in __init__(self, name, **kwargs)
     26         self.logic_adapters = []
     27 
---> 28         self.storage = utils.initialize_class(storage_adapter, **kwargs)
     29 
     30         primary_search_algorithm = IndexedTextSearch(self, **kwargs)

~\Anaconda3\lib\site-packages\chatterbot\utils.py in initialize_class(data, *args, **kwargs)
     31         Class = import_module(data)
     32 
---> 33         return Class(*args, **kwargs)
     34 
     35 

~\Anaconda3\lib\site-packages\chatterbot\storage\sql_storage.py in __init__(self, **kwargs)
     18 
     19     def __init__(self, **kwargs):
---> 20         super().__init__(**kwargs)
     21 
     22         from sqlalchemy import create_engine

~\Anaconda3\lib\site-packages\chatterbot\storage\storage_adapter.py in __init__(self, *args, **kwargs)
     19 
     20         self.tagger = PosLemmaTagger(language=kwargs.get(
---> 21             'tagger_language', languages.ENG
     22         ))
     23 

~\Anaconda3\lib\site-packages\chatterbot\tagging.py in __init__(self, language)
     11         self.punctuation_table = str.maketrans(dict.fromkeys(string.punctuation))
     12 
---> 13         self.nlp = spacy.load(self.language.ISO_639_1.lower())
     14 
     15     def get_bigram_pair_string(self, text):

~\Anaconda3\lib\site-packages\spacy\__init__.py in load(name, **overrides)
     28     if depr_path not in (True, False, None):
     29         deprecation_warning(Warnings.W001.format(path=depr_path))
---> 30     return util.load_model(name, **overrides)
     31 
     32 

~\Anaconda3\lib\site-packages\spacy\util.py in load_model(name, **overrides)
    167     elif hasattr(name, "exists"):  # Path or Path-like to model data
    168         return load_model_from_path(name, **overrides)
--> 169     raise IOError(Errors.E050.format(name=name))
    170 
    171 

OSError: [E050] Can't find model 'en'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory.