Comments (1)
Here's one way to go about it. Create a training.py in your django app folder. Inside training.py create your training data as a list
static_qa = [
"Hello", "Hi there!",
"How are you doing", "I'm doing great, thank you for asking!",
]
in your views.py
from .training import static_qa
then after you create a chatterbot instance:
trainer = ListTrainer(chatterbot)
try:
trainer.train(static_qa) # static_qa list
except Exception as e:
logging.error(f"error training static qa = {e}")
List Trainer: [####################] 100%
from chatterbot-corpus.
Related Issues (20)
- Corpus data HOT 1
- other sources?
- Corpus.py needs updating for YAML>5 HOT 1
- [Italian] "Qual รจ". Not "Qual'รจ"
- Italian corpus sources
- Travis Build Failed..No module named 'spacy' HOT 1
- Adding more conversations for Odia Language
- Regarding running the downloaded file HOT 1
- sd HOT 1
- Pyyaml HOT 1
- Update conversations in Portuguese
- No module named 'spacy' in Job of Travis CI HOT 1
- line break, yaml file HOT 1
- chatterbot.corpus.english.health is very broken
- Huge datasets
- Unable to load certain language corpuses
- is training via ListTrainer still possible?
- Corpus _es chatterbot
- spanish dataset fail
- Odd non sequitur?
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from chatterbot-corpus.