rasa_project

Projeto final do curso de linguagem Natural.

Instalação do Rasa Open Source

Mais simples de instalar impossível, através do comando pip abaixo tudo vai ficar pronto para começar a brincadeira.

pip3 install rasa

Após a instalação, podemos verificar se o Rasa foi instalado corretamente através do comando.

Versão Utilizada

rasa --version

Rasa Version : 3.2.10

Minimum Compatible Version: 3.0.0

Rasa SDK Version : 3.2.2

Python Version : 3.8.10

Operating System : Windows-10-10.0.19044-SP0

Rasa Command Line Interface

O rasa possui uma série de comandos para que seja possível, configurar, treinar e testar o nosso chatbot. Abaixo uma relação extraída da documentação do próprio Rasa. Mas vamos por partes, aqui só vamos ver alguns desses comandos.

Rasa Command Line Interface:

Command	Effect
rasa init	Creates a new project with example training data, actions, and config files.
rasa train	Trains a model using your NLU data and stories, saves trained model in ./models.
rasa interactive	Starts an interactive learning session to create new training data by chatting to your assistant.
rasa shell	Loads your trained model and lets you talk to your assistant on the command line.
rasa run	Starts a server with your trained model.
rasa run actions	Starts an action server using the Rasa SDK.
rasa visualize	Generates a visual representation of your stories.
rasa test	Tests a trained Rasa model on any files starting with test_.
rasa data split nlu	Performs a 80/20 split of your NLU training data.
rasa data convert	Converts training data between different formats.
rasa data migrate	Migrates 2.0 domain to 3.0 format.
rasa data validate	Checks the domain, NLU and conversation data for inconsistencies.
rasa export	Exports conversations from a tracker store to an event broker.
rasa evaluate markers	Extracts markers from an existing tracker store.
rasa -h	Shows all available commands.