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Alternate dependencies attempt

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This commit is contained in:
bobloy 2020-10-19 15:16:49 -04:00
parent 37c699eeee
commit 26234e3b18
2 changed files with 45 additions and 43 deletions
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3
chatter/info.json
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@ -17,7 +17,8 @@
"pytz",
"https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz#egg=en_core_web_sm",
"https://github.com/explosion/spacy-models/releases/download/en_core_web_md-2.3.1/en_core_web_md-2.3.1.tar.gz#egg=en_core_web_md",
"spacy>=2.3,<2.4"
"spacy>=2.3,<2.4",
"--no-deps \"chatterbot>=1.1\""
],
"short": "Local Chatbot run on machine learning",
"end_user_data_statement": "This cog only stores anonymous conversations data; no End User Data is stored.",

85
chatter/trainers.py
View File

@ -4,45 +4,46 @@ from chatterbot.trainers import Trainer
class TwitterCorpusTrainer(Trainer):
def train(self, *args, **kwargs):
"""
Train the chat bot based on the provided list of
statements that represents a single conversation.
"""
import twint
c = twint.Config()
c.__dict__.update(kwargs)
twint.run.Search(c)
previous_statement_text = None
previous_statement_search_text = ''
statements_to_create = []
for conversation_count, text in enumerate(conversation):
if self.show_training_progress:
utils.print_progress_bar(
'List Trainer',
conversation_count + 1, len(conversation)
)
statement_search_text = self.chatbot.storage.tagger.get_text_index_string(text)
statement = self.get_preprocessed_statement(
Statement(
text=text,
search_text=statement_search_text,
in_response_to=previous_statement_text,
search_in_response_to=previous_statement_search_text,
conversation='training'
)
)
previous_statement_text = statement.text
previous_statement_search_text = statement_search_text
statements_to_create.append(statement)
self.chatbot.storage.create_many(statements_to_create)
pass
# def train(self, *args, **kwargs):
# """
# Train the chat bot based on the provided list of
# statements that represents a single conversation.
# """
# import twint
#
# c = twint.Config()
# c.__dict__.update(kwargs)
# twint.run.Search(c)
#
#
# previous_statement_text = None
# previous_statement_search_text = ''
#
# statements_to_create = []
#
# for conversation_count, text in enumerate(conversation):
# if self.show_training_progress:
# utils.print_progress_bar(
# 'List Trainer',
# conversation_count + 1, len(conversation)
# )
#
# statement_search_text = self.chatbot.storage.tagger.get_text_index_string(text)
#
# statement = self.get_preprocessed_statement(
# Statement(
# text=text,
# search_text=statement_search_text,
# in_response_to=previous_statement_text,
# search_in_response_to=previous_statement_search_text,
# conversation='training'
# )
# )
#
# previous_statement_text = statement.text
# previous_statement_search_text = statement_search_text
#
# statements_to_create.append(statement)
#
# self.chatbot.storage.create_many(statements_to_create)