ChatterBot does not get trained with ubuntu corpus

[demosthenesk]

I can not train the bot with ubuntu corpus. my code is:

# import ChatBot
from chatterbot import ChatBot
# import Trainer
from chatterbot.trainers import UbuntuCorpusTrainer

bot = ChatBot('Zeus')

# Training
trainer = UbuntuCorpusTrainer(bot)
print("url: ", trainer.data_download_url)
print("data dir: ", trainer.data_directory)
print("extracted dir: ", trainer.extracted_data_directory)
print("is downloaded: ", trainer.is_downloaded(trainer.data_directory))
print("is extracted: ", trainer.is_extracted(trainer.extracted_data_directory))
trainer.train()

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

while True:
    # Input from user
    message = input('You: ')
    # if message is not "Bye"
    if message.strip() != 'Bye':
        reply = bot.get_response(message)
        print('Zeus:', reply)
        # if message is "Bye"
    if message.strip() == 'Bye':
        print('Zeus: Bye')
        break

And the output is:

/usr/bin/python3.7 /home/user/Documents/python-workspace/chatbot/UbuntuCorpus.py [nltk_data] Downloading package averaged_perceptron_tagger to [nltk_data] /home/user/nltk_data... [nltk_data] Package averaged_perceptron_tagger is already up-to- [nltk_data] date! [nltk_data] Downloading package stopwords to /home/user/nltk_data... [nltk_data] Package stopwords is already up-to-date! url: http://cs.mcgill.ca/~jpineau/datasets/ubuntu-corpus-1.0/ubuntu_dialogs.tgz data dir: /home/user/ubuntu_data extracted dir: /home/user/ubuntu_data/ubuntu_dialogs is downloaded: True is extracted: True Training took 0.13010787963867188 seconds. You:

The bot is not trained with ubuntu corpus...

[Benji377]

This is what I get when executing your code:

[nltk_data] Downloading package stopwords to [nltk_data] C:\Users\benbe\AppData\Roaming\nltk_data... [nltk_data] Package stopwords is already up-to-date! [nltk_data] Downloading package averaged_perceptron_tagger to [nltk_data] C:\Users\benbe\AppData\Roaming\nltk_data... [nltk_data] Package averaged_perceptron_tagger is already up-to- [nltk_data] date! url: http://cs.mcgill.ca/~jpineau/datasets/ubuntu-corpus-1.0/ubuntu_dialogs.tgz data dir: C:\Users\benbe\ubuntu_data extracted dir: C:\Users\benbe\ubuntu_data\ubuntu_dialogs is downloaded: True is extracted: True [nltk_data] Downloading package stopwords to [nltk_data] C:\Users\benbe\AppData\Roaming\nltk_data... [nltk_data] Package stopwords is already up-to-date! [nltk_data] Downloading package averaged_perceptron_tagger to [nltk_data] C:\Users\benbe\AppData\Roaming\nltk_data... url: http://cs.mcgill.ca/~jpineau/datasets/ubuntu-corpus-1.0/ubuntu_dialogs.tgz data dir: C:\Users\benbe\ubuntu_data extracted dir: C:\Users\benbe\ubuntu_data\ubuntu_dialogs is downloaded: True is extracted: True [nltk_data] Package averaged_perceptron_tagger is already up-to- [nltk_data] date! Traceback (most recent call last): File "", line 1, in File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 105, in spawn_main exitcode = _main(fd) File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 114, in _main prepare(preparation_data) File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 225, in prepare _fixup_main_from_path(data['init_main_from_path']) File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path run_name="mp_main__") File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\runpy.py", line 263, in run_path pkg_name=pkg_name, script_name=fname) File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\runpy.py", line 96, in _run_module_code mod_name, mod_spec, pkg_name, script_name) File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\runpy.py", line 85, in _run_code exec(code, run_globals) File "D:\Coding\PyProjects\Sociality\Sociality3\Test\test2\tester.py", line 15, in trainer.train() File "C:\Users\benbe.virtualenvs\benbe-ZCclz55H\lib\site-packages\chatterbot\trainers.py", line 342, in train manager = Manager() File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\context.py", line 56, in Manager m.start() File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\managers.py", line 513, in start self._process.start() File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\process.py", line 105, in start self._popen = self._Popen(self) File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\context.py", line 322, in _Popen return Popen(process_obj) File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\popen_spawn_win32.py", line 33, in init__ prep_data = spawn.get_preparation_data(process_obj._name) File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 143, in get_preparation_data _check_not_importing_main() File "C:\Users\benbe\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main is not going to be frozen to produce an executable.''') RuntimeError: An attempt has been made to start a new process before the current process has finished its bootstrapping phase.

    This probably means that you are not using fork to start your
    child processes and you have forgotten to use the proper idiom
    in the main module:

        if __name__ == '__main__':
            freeze_support()
            ...

    The "freeze_support()" line can be omitted if the program
    is not going to be frozen to produce an executable.