How to understand the new interactive intent and entities learning?

I’m maybe already a an old chipmunk but I don’t understand the new train interactive function. Indeed, from this repository I tried to run the interactive session. Yet it seems that it takes my first input, which was Hazezae, which means nothing, as an intent or an entity:

(chaenv36) C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation>python -m rasa_core.train interactive -s data/stories.md -o models/dialogue/ -d room_domain.yml -c nlu_config.yml
C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\h5py\__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\pykwalify\core.py:99: UnsafeLoaderWarning:
The default 'Loader' for 'load(stream)' without further arguments can be unsafe.
Use 'load(stream, Loader=ruamel.yaml.Loader)' explicitly if that is OK.
Alternatively include the following in your code:

  import warnings
  warnings.simplefilter('ignore', ruamel.yaml.error.UnsafeLoaderWarning)

In most other cases you should consider using 'safe_load(stream)'
  data = yaml.load(stream)
Processed Story Blocks: 100%|██████████| 22/22 [00:00<?, ?it/s, # trackers=1]
Processed Story Blocks: 100%|██████████| 22/22 [00:00<00:00, 352.04it/s, # trackers=6]
Processed Story Blocks: 100%|██████████| 22/22 [00:00<00:00, 38.44it/s, # trackers=41]
Processed Story Blocks: 100%|██████████| 22/22 [00:00<00:00, 24.31it/s, # trackers=50]
2019-02-14 17:43:22 INFO     rasa_core.agent  - Model directory models/dialogue/ exists and contains old model files. All files will be overwritten.
2019-02-14 17:43:24 INFO     rasa_core.agent  - Persisted model to 'C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\models\dialogue\'
2019-02-14 17:43:24 INFO     rasa_core.training.interactive  - Rasa Core server is up and running on http://localhost:5005
Bot loaded. Visualisation at http://localhost:5005/visualization.html.
Type a message and press enter (press 'Ctr-c' to exit).
Processed Story Blocks: 100%|██████████| 22/22 [00:00<00:00, 2441.26it/s, # trackers=1]
? Next user input (Ctr-c to abort):  Hazezae
? Is the NLU classification for '/Hazezae' with intent 'Hazezae' correct?  (Y/n)

I prefered before, in Justina’s weatherbot how she trained with train_online.py where we were able to say if he understood well what we said to him and what to utter next.

As a result: how to understand the new interactive intent and entities learning ?

Environement

Rasa Core version : Version: 0.12.0 Python version : Python 3.6.7 Operating system : windows

Furthermore I don’t understand why he want to transform my input into an entity. In particular after writing Hello He asked me to mark the entities using value notation and I wrote None and it crashed.

? Is the NLU classification for '/Hello' with intent 'Hello' correct?  No
? What intent is it?  0.00 greet
? Please mark the entities using [value](type) notation  None
2019-02-15 14:47:57 ERROR    rasa_core.server  - Caught an exception during prediction.
Traceback (most recent call last):
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\server.py", line 402, in predict
    responses = agent.predict_next(sender_id)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\agent.py", line 328, in predict_next
    return processor.predict_next(sender_id)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\processor.py", line 107, in predict_next
    self._get_next_action_probabilities(tracker)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\processor.py", line 478, in _get_next_action_probabilities
    tracker, self.domain)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\policies\ensemble.py", line 288, in probabilities_using_best_policy
    if (result.index(max_confidence) ==
AttributeError: 'NoneType' object has no attribute 'index'
2019-02-15 14:47:57 ERROR    rasa_core.training.interactive  - An exception occurred while recording messages.
Traceback (most recent call last):
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\training\interactive.py", line 1260, in record_messages
    finetune, sender_ids, plot_file)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\training\interactive.py", line 827, in _predict_till_next_listen
    response = request_prediction(endpoint, sender_id)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\training\interactive.py", line 129, in request_prediction
    return _response_as_json(r)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\training\interactive.py", line 92, in _response_as_json
    response.raise_for_status()
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\requests\models.py", line 940, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 500 Server Error: INTERNAL SERVER ERROR for url: http://localhost:5005/conversations/default/predict
Exception in thread Thread-5:
Traceback (most recent call last):
  File "C:\Python36\lib\threading.py", line 916, in _bootstrap_inner
    self.run()
  File "C:\Python36\lib\threading.py", line 864, in run
    self._target(*self._args, **self._kwargs)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\training\interactive.py", line 1260, in record_messages
    finetune, sender_ids, plot_file)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\training\interactive.py", line 827, in _predict_till_next_listen
    response = request_prediction(endpoint, sender_id)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\training\interactive.py", line 129, in request_prediction
    return _response_as_json(r)
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\rasa_core\training\interactive.py", line 92, in _response_as_json
    response.raise_for_status()
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\requests\models.py", line 940, in raise_for_status
    raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 500 Server Error: INTERNAL SERVER ERROR for url: http://localhost:5005/conversations/default/predict

Fatal Python error: could not acquire lock for <_io.BufferedWriter name='<stderr>'> at interpreter shutdown, possibly due to daemon threads

Thread 0x000038cc (most recent call first):
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\colorama\ansitowin32.py", line 196 in write_plain_text
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\colorama\ansitowin32.py", line 190 in write_and_convert
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\colorama\ansitowin32.py", line 162 in write
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\colorama\ansitowin32.py", line 41 in write
  File "C:\Python36\lib\threading.py", line 926 in _bootstrap_inner
  File "C:\Python36\lib\threading.py", line 884 in _bootstrap

Thread 0x00001920 (most recent call first):
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\gevent\_threading.py", line 153 in wait
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\gevent\_threading.py", line 437 in get
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\gevent\threadpool.py", line 200 in _worker

Thread 0x00003a80 (most recent call first):
  File "C:\Python36\lib\threading.py", line 295 in wait
  File "C:\Python36\lib\threading.py", line 551 in wait
  File "C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation\chaenv36\lib\site-packages\apscheduler\schedulers\blocking.py", line 28 in _main_loop
  File "C:\Python36\lib\threading.py", line 864 in run
  File "C:\Python36\lib\threading.py", line 916 in _bootstrap_inner
  File "C:\Python36\lib\threading.py", line 884 in _bootstrap

Current thread 0x000022b0 (most recent call first):

(chaenv36) C:\Users\antoi\Documents\Programming\Nathalie\7_2_2019\ChatbotRASA_Room-reservation>