References

• https://github.com/RasaHQ/rasa_nlu
• https://rasa.com/docs/nlu/quickstart/
• https://rasa.com/docs/nlu/0.12.0/tutorial/
• https://itnext.io/building-a-chatbot-with-rasa-9c3f3c6ad64d

Command 1 - Create the datamodel

python3 -m rasa_nlu.train --config config_spacy.yml --data demo-rasa.json --path projects

Command 2 - Run the server

1. python3 -m rasa_nlu.server --path projects - Run the server without logs
2. python3 -m rasa_nlu.server --path projects --response_log logs - This will run the server and will also create a log file of the requests made by the user

Testing 3 - Postman

• [GET] http://localhost:5000/parse?q=hi

Tool to generate the dataset

• https://rasahq.github.io/rasa-nlu-trainer/
• https://github.com/RasaHQ/rasa-nlu-trainer

Additional package installs required

• sudo pip3 install spacy
• sudo pip3 install sklearn-crfsuite
• sudo python3 -m spacy download en