Entities not recognized by DIET therefore not training bot as well as not allowing slots to work

[Alexmax900 (Alex G)]

So I am new to this and I am trying to learn how to use Rasa step by step. I have reached a problem where when I rasa train it trains all fine except for the entities where the error occurs. This is a problem for me since i am trying to add slots into my code but because it does not recognize any entities when the bot responds it says none

Your input ->  hi
Hey! Who are you?
Your input ->  I am Alex
And where are you from?
Your input ->  Germany
So your name is None and you are from None, correct?
Your input ->  Yews
Then, I will talk to you later!

c:\users\alex\appdata\local\programs\python\python37\lib\site-packages\rasa\utils\common.py:351: UserWarning: You specified 'DIET' to train entities, but no entities are present in the training data. Skip training of entities.

I tried changing the DIETclassifier to the CRFentityextractor but that did not help.

nlu

## intent:greet
 - hey
 - hello
 - hi
 - good morning
 - good evening
 - hey there

## intent:affirm
 - yes
 - yea
 - yeah
 - yup

## intent:name_given
 - My name is [Alex] (name)
 - I am [Alex] (name)
 - You can call me [Alex] (name)
 - My name is [Jim] (name)
 - I am [Jim] (name)
 - You can call me [Jim] (name)
 - My name is [Sam] (name)
 - I am [Sam] (name)
 - You can call me [Sam] (name)
 - My name is [Roland] (name)
 - I am [Roland] (name)
 - You can call me [Roland] (name)

## intent:country_from
 - I am from [Germany] (country)
 - I come from [Germany] (country)
 - [Germany] (country)
 - I am from [Vietnam] (country)
 - I come from [Vietnam] (country)
 - [Vietnam] (country)
 - I am from [Spain] (country)
 - I come from [Spain] (country)
 - [Spain] (country)
 - I am from [Japan] (country)
 - I come from [Japan] (country)
 - [Japan] (country)

stories

## name path
* greet
  - utter_greet
* name_given
  - utter_country_Q
* country_from
 - utter_show_name_country
*affirm
 -utter_goodbye

domain

intents:
  - greet
  - name_given
  - country_from
  - affirm

entities:
 - name
 - country

slots:
 name:
  type: text
 country:
  type: text

responses:
  utter_greet:
  - text: "Hey! Who are you?"
  utter_goodbye:
  - text: "Then, I will talk to you later!"
  utter_country_Q:
  - text: "And where are you from?"
  utter_show_name_country:
  - text: "So your name is {name} and you are from {country}, correct?"

session_config:
  session_expiration_time: 60
  carry_over_slots_to_new_session: true

Here is the full rasa train response

C:\Users\Alex\Documents\Work\Rasa>rasa train
2020-06-09 15:43:33 INFO     rasa.model  - Data (nlu-config) for NLU model section changed.
Core stories/configuration did not change. No need to retrain Core model.
Training NLU model...
2020-06-09 15:43:33 INFO     rasa.nlu.training_data.training_data  - Training data stats:
2020-06-09 15:43:33 INFO     rasa.nlu.training_data.training_data  - Number of intent examples: 34 (4 distinct intents)
2020-06-09 15:43:33 INFO     rasa.nlu.training_data.training_data  -   Found intents: 'name_given', 'country_from', 'affirm', 'greet'
2020-06-09 15:43:33 INFO     rasa.nlu.training_data.training_data  - Number of response examples: 0 (0 distinct responses)
2020-06-09 15:43:33 INFO     rasa.nlu.training_data.training_data  - Number of entity examples: 0 (0 distinct entities)
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Starting to train component WhitespaceTokenizer
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Finished training component.
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Starting to train component RegexFeaturizer
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Finished training component.
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Starting to train component LexicalSyntacticFeaturizer
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Finished training component.
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Starting to train component CountVectorsFeaturizer
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Finished training component.
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Starting to train component CountVectorsFeaturizer
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Finished training component.
2020-06-09 15:43:33 INFO     rasa.nlu.model  - Starting to train component DIETClassifier
c:\users\alex\appdata\local\programs\python\python37\lib\site-packages\rasa\utils\common.py:351: UserWarning: You specified 'DIET' to train entities, but no entities are present in the training data. Skip training of entities.
Epochs: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:08<00:00, 11.86it/s, t_loss=1.123, i_loss=0.012, i_acc=1.000]
2020-06-09 15:43:46 INFO     rasa.utils.tensorflow.models  - Finished training.
2020-06-09 15:43:46 INFO     rasa.nlu.model  - Finished training component.
2020-06-09 15:43:46 INFO     rasa.nlu.model  - Starting to train component EntitySynonymMapper
2020-06-09 15:43:46 INFO     rasa.nlu.model  - Finished training component.
2020-06-09 15:43:46 INFO     rasa.nlu.model  - Starting to train component ResponseSelector
2020-06-09 15:43:46 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.
2020-06-09 15:43:47 INFO     rasa.nlu.model  - Finished training component.
2020-06-09 15:43:47 INFO     rasa.nlu.model  - Successfully saved model into 'C:\Users\Alex\AppData\Local\Temp\tmphy0r4uqu\nlu'
NLU model training completed.
Your Rasa model is trained and saved at 'C:\Users\Alex\Documents\Work\Rasa\models\20200609-154347.tar.gz'.

Any help would be appreciative, I can’t find the solution at all.

[MuraliChandran14 (Murali Chandran)]

Hi @Alexmax900,

The issue is giving space in front of an entity will not detect entities in entity extraction.

@Alexmax900

## intent:name_given
 - My name is [Alex] (name)
 - I am [Alex] (name)

Re-write your nlu.md like this:
  - My name is [Alex](name)
 - I am [Alex](name)

@Alexmax900

## intent:country_from
 - I am from [Germany] (country)
 - I come from [Germany] (country)

Re-write your nlu.md like this:
 - I am from [Germany](country)
 - I come from [Germany](country)

More information you can refer here

Encountered an exception while running action 'action_search_restaurant'. Bot will continue, but the actions events are lost. Please check the logs of your action server for more information

getting this error, logs in “rasa run actions”: Exception occurred while handling uri: ‘http://localhost:5055/webhook’ Traceback (most recent call last): File “c:\python3.6\lib\site-packages\sanic\app.py”, line 942, in handle_request response = await response File “c:\python3.6\lib\site-packages\rasa_sdk\endpoint.py”, line 86, in webhook result = await executor.run(action_call) File “c:\python3.6\lib\site-packages\rasa_sdk\executor.py”, line 280, in run events = action(dispatcher, tracker, dom…

[Alexmax900 (Alex G)]

Thanks a lot that was the answer