12/25/2022 0 Comments Rasa github![]() ![]() INFO::Model prediction errors saved to errors.json. INFO::Intent Evaluation: Only considering those 25 examples that have a defined intent out of 25 examples ![]() INFO::Successfully saved model into '/Users/bluelogic/PycharmProjects/bot_kampret/wall-e/models/nlu' INFO::Starting to train component SklearnIntentClassifier INFO::Starting to train component EntitySynonymMapper INFO::Starting to train component CRFEntityExtractor INFO::Starting to train component RegexFeaturizer INFO::Starting to train component SpacyFeaturizer INFO::Starting to train component SpacyTokenizer INFO::Starting to train component SpacyNLP Found intents: 'greet', 'bye', 'thanks', 'fine_ask', 'fine_normal', 'news' Found intents: 'thanks', 'bye', 'fine_normal', 'news', 'fine_ask', 'greet' INFO:rasa_nlu.model:Starting to train component SklearnIntentClassifier INFO:rasa_nlu.model:Starting to train component EntitySynonymMapper INFO:rasa_nlu.model:Starting to train component CRFEntityExtractor INFO:rasa_nlu.model:Starting to train component RegexFeaturizer INFO:rasa_nlu.model:Starting to train component SpacyFeaturizer INFO:rasa_nlu.model:Starting to train component SpacyTokenizer INFO:rasa_nlu.model:Finished training component. INFO:rasa_nlu.model:Starting to train component SpacyNLP Key 'SpacyNLP-en'.ĭEBUG:_aining_data:Validating training data. INFO::Added 'SpacyNLP' to component cache. Found intents: 'fine_ask', 'news', 'thanks', 'bye', 'fine_normal', 'greet' Found intents: 'greet', 'fine_normal', 'news', 'thanks', 'bye', 'fine_ask' INFO:_utils:Trying to load spacy model with name 'en' Found intents: 'greet', 'bye', 'fine_normal', 'fine_ask', 'news', 'thanks' Please update your code as it will no longer work with future versions of Rasa NLU. WARNING::You have specified the pipeline template 'spacy_sklearn' which has been renamed to 'pretrained_embeddings_spacy'. entity examples: 9 (1 distinct entities) Found intents: 'greet', 'thanks', 'fine_normal', 'news', 'bye', 'fine_ask' intent examples: 25 (6 distinct intents) sendCustomMessage (Function) - It allows to send custom text messages to Rasa server.INFO:_data.loading:Training data format of './data/nlu.md' is 'md'.Check how to do that on the our sample code). resetBot (Function) - It sends a reset intent to Rasa server (It will requiere a correct configuration on Rasa server to handle this intent.resetMessages (Function) - This clear all messages on the widget.You can also use all the props from react-native-gifted-chat The assistant uses forms to collect information and queries a SQLite database for customer and order information. It can assist with operations like checking an order status, seeing if an item is in stock, and initiating a return. UserName (String) - (Optional) Sets the user name.īotName (String) - (Optional) Sets the bot name.īotAvatar (String) - (Optional) Sets the bot Avatar using an image uri. The Retail starter pack is an open source example chatbot for ecommerce customer service. UserAvatar (String) - (Optional) Sets the user Avatar using an image uri. UserId (String) - (Optional) Sets the user Id. OnEmptyResponse (Function) - (Optional) Callback when the bot return empty reponse (Sometimes it happens to Rasa Open Source).ĮmptyResponseMessage (String) - (Optional) The message the bot will return in case the reponse is empty. OnSendMessFailed (Function) - (Optional) Callback when sending a message failed. Host (string) - (Required) Your Rasa host, replacing the host and port with the appropriate values from your running Rasa X or Rasa Open Source server. Import React from 'react' import ) įor a custom Chat setup, please check the App.tsx file. ![]()
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