Unterschiede

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--- wiki:software:beuthbot:rasa [23.01.2020 10:55]
Timo Bruns [Perform Rasa locally]
+++ wiki:software:beuthbot:rasa [24.01.2020 15:18] (aktuell)
Abirathan Yogarajah
@@ Zeile 99: / Zeile 99: @@
 rasa shell nlu –m models/name-of-the-model.tar.gz
 </code>
+Running Duckling:
+After using the command "rasa train nlu" a model is generated. When communicating with Rasa via the shell ("rasa shell nlu ...") the component "Duckling" is not addressed. With Duckling you can identify and resolve dates. To use Duckling you can add the trained model in the path "docker\rasa-app-data\models". Then you can run Rasa and Duckling as docker-containers and query them using the Rest API. Running Rasa and Duckling as docker-containers are explained in a later section.
 === How to generate training datasets ===
@@ Zeile 204: / Zeile 208: @@
 - https://www.artificial-solutions.com/wp-content/uploads/chatbots-ebook-deutsche.pdf (Retrieved 12.12.2019)\\
 - https://docs.docker.com/ (Retrieved 12.12.2019)
+<WRAP pagebreak></WRAP>

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