pip install -r requirements.txt
rasa train --force
Dopo aver aggiunto dati..
rasa data validate rasa train rasa test nlu --nlu data/nlu.yml --cross-validation --folds 5 --successes
In un terminale eseguire:
$ ./chatbot.sh start
2021-02-25 21:18:48 INFO root - Starting Rasa server on http://localhost:5005
2021-02-25 21:18:48 INFO rasa.model - Loading model models/20210223-230922.tar.gz...
2021-02-25 21:18:48 INFO rasa_sdk.endpoint - Starting action endpoint server...
2021-02-25 21:18:48 INFO rasa_sdk.endpoint - Action endpoint is up and running on http://localhost:5055
2021-02-25 21:18:53 INFO rasa.nlu.components - Added 'SpacyNLP' to component cache. Key 'SpacyNLP-it_core_news_md'.
2021-02-25 21:19:02 INFO root - Rasa server is up and running.
A questo punto Rasa รจ in ascolto sulla porta 5005.
Altre opzioni:
$ ./chatbot.sh status
$ ./chatbot.sh stop
Per provare la chat via web:
$ ./chatbot.sh test
Per visualizzare tutti i messaggi sulla console:
$ ./chatbot.sh debug
Per eseguire action server ed entrare nella shell:
$ ./chatbot.sh shell
Content type
Image
Digest
Size
605.2 MB
Last updated
over 5 years ago
docker pull massimos/rasa