quickly, an initial project will be created. If you need some help, check out the documentation at https://rasa.com/docs/rasa. Now let's start! ? Please enter a path where the project will be created [default: current directory] . Created project directory at '/git/nlpbot'. Finished creating project structure. ? Do you want to train an initial model? Yes Training an initial model... Training Core model... Processed Story Blocks: 100%|███████████████████████████████████████████████████████| 5/5 [00:00<00:00, 3953.16it/s, # trackers=1] Processed Story Blocks: 100%|███████████████████████████████████████████████████████| 5/5 [00:00<00:00, 1734.47it/s, # trackers=5] Processed Story Blocks: 100%|███████████████████████████████████████████████████████| 5/5 [00:00<00:00, 442.75it/s, # trackers=20] Processed Story Blocks: 100%|███████████████████████████████████████████████████████| 5/5 [00:00<00:00, 313.09it/s, # trackers=24] Processed trackers: 100%|███████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 1920.82it/s, # actions=16] Processed actions: 16it [00:00, 12336.19it/s, # examples=16] Processed trackers: 100%|███████████████████████████████████████████████████████| 231/231 [00:00<00:00, 733.18it/s, # actions=126] Epochs: 100%|██████████████████████████████████████████████| 100/100 [00:06<00:00, 14.29it/s, t_loss=0.074, loss=0.001, acc=1.000] 2020-07-21 13:18:06 INFO rasa.utils.tensorflow.models - Finished training. 2020-07-21 13:18:06 INFO rasa.core.agent - Persisted model to '/var/folders/tq/T/tmphttlwy6_/core' Core model training completed. Training NLU model... 2020-07-21 13:18:06 INFO rasa.nlu.training_data.training_data - Training data stats: 2020-07-21 13:18:06 INFO rasa.nlu.training_data.training_data - Number of intent examples: 43 (7 distinct intents) 2020-07-21 13:18:06 INFO rasa.nlu.training_data.training_data - Found intents: 'goodbye', 'affirm', 'deny', 'mood_unhappy', 'mood_great', 'bot_challenge', 'greet' 2020-07-21 13:18:06 INFO rasa.nlu.training_data.training_data - Number of response examples: 0 (0 distinct responses) 2020-07-21 13:18:06 INFO rasa.nlu.training_data.training_data - Number of entity examples: 0 (0 distinct entities) 2020-07-21 13:18:06 INFO rasa.nlu.model - Starting to train component WhitespaceTokenizer 2020-07-21 13:18:06 INFO rasa.nlu.model - Finished training component. 2020-07-21 13:18:06 INFO rasa.nlu.model - Starting to train component RegexFeaturizer 2020-07-21 13:18:06 INFO rasa.nlu.model - Finished training component. 2020-07-21 13:18:06 INFO rasa.nlu.model - Starting to train component LexicalSyntacticFeaturizer 2020-07-21 13:18:06 INFO rasa.nlu.model - Finished training component. 2020-07-21 13:18:06 INFO rasa.nlu.model - Starting to train component CountVectorsFeaturizer 2020-07-21 13:18:06 INFO rasa.nlu.model - Finished training component. 2020-07-21 13:18:06 INFO rasa.nlu.model - Starting to train component CountVectorsFeaturizer 2020-07-21 13:18:06 INFO rasa.nlu.model - Finished training component. 2020-07-21 13:18:06 INFO rasa.nlu.model - Starting to train component DIETClassifier Epochs: 100%|██████████████████████████████████████████| 100/100 [00:07<00:00, 14.26it/s, t_loss=1.466, i_loss=0.083, i_acc=1.000] 2020-07-21 13:18:18 INFO rasa.utils.tensorflow.models - Finished training. 2020-07-21 13:18:18 INFO rasa.nlu.model - Finished training component. 2020-07-21 13:18:18 INFO rasa.nlu.model - Starting to train component EntitySynonymMapper 2020-07-21 13:18:18 INFO rasa.nlu.model - Finished training component. 2020-07-21 13:18:18 INFO rasa.nlu.model - Starting to train component ResponseSelector 2020-07-21 13:18:18 INFO rasa.nlu.selectors.response_selector - Retrieval intent parameter was left to its default value. This response selector will be trained on training examples combining all retrieval intents. 2020-07-21 13:18:18 INFO rasa.nlu.model - Finished training component. 2020-07-21 13:18:18 INFO rasa.nlu.model - Successfully saved model into '/var/folders/tq/T/tmphttlwy6_/nlu' NLU model training completed. Your Rasa model is trained and saved at '/git/nlpbot/models/20200721-131751.tar.gz'.
good morning - good evening - hey there ## intent:goodbye - bye - goodbye - see you around - see you later ## intent:affirm - yes - indeed - of course - that sounds good - correct
here - this channel doesn't # # require any credentials #facebook: # verify: "<verify>" # secret: "<your secret>" # page-access-token: "<your page access token>" #slack: # slack_token: "<your slack token>" # slack_channel: "<the slack channel>" #socketio: # user_message_evt: <event name for user message> # bot_message_evt: <event name for but messages> # session_persistence: <true/false> # This entry is needed if you are using Rasa X. The entry represents credentials # for the Rasa X "channel", i.e. Talk to your bot and Share with guest testers. rasa: url: "http://localhost:5002/api"
the custom action 'action_location_weather', but you didn't configure an endpoint to run this custom action. Please take a look at the docs and set an endpoint configuration via the --endpoints flag. https://rasa.com/docs/rasa/core/actions 2020-XX-YY 20:22:09 ERROR rasa.core.processor - Encountered an exception while running action 'action_location_weather'. Bot will continue, but the actions events are lost. Please check the logs of your action server for more information. w/o Action Server $ rasa run actions