model version your using is to old to be loaded by this Rasa NLU instance

[antoinecomp]

Hi ! I just watch your video and wanted to test your model. Unfortunately when I tried to launch dialogue_management_model I had an issue I am also facing : model version your using is to old to be loaded by this Rasa NLU instance.

(envMoodbot2) mike@mike-thinks:~/Programing/Rasa_tutorial/Weatherbot_Tutorial/Full Code$ python dialogue_management_model.py
...
rasa_nlu.model.UnsupportedModelError: 
The model version is to old to be loaded by this Rasa NLU instance. 
Either retrain the model, or run withan older version. 
Model version: 0.11.0 Instance version: 0.12.3

Do you know how to cope with it ?

[JustinaPetr]

Hey. Thanks for checking out the tutorial! :) There have been quite a few updates on both Rasa NLU and Rasa Core since I have recorded the video so it's not surprising that the model needs some updates. Try to retrain the NLU model - in nlu_model.py uncomment the line train_nlu('./data/data.json', 'config_spacy.json', './models/nlu') and run the script. It will retrain the NLU model which should be compatible with the new instance.

[antoinecomp]

Thank you for that really fast answer ! So I uncommented the line you told me to uncomment, which resulted in :

from rasa_nlu.converters import load_data
from rasa_nlu.config import RasaNLUConfig
from rasa_nlu.model import Trainer
from rasa_nlu.model import Metadata, Interpreter

def train_nlu(data, config, model_dir):
    training_data = load_data(data)
    trainer = Trainer(RasaNLUConfig(config))
    trainer.train(training_data)
    model_directory = trainer.persist(model_dir, fixed_model_name = 'weathernlu')

def run_nlu():
    interpreter = Interpreter.load('./models/nlu/default/weathernlu', RasaNLUConfig('config_spacy.json'))
    print(interpreter.parse("I am planning my holiday to Lithuania. I wonder what is the weather out there."))

if __name__ == '__main__':
    train_nlu('./data/data.json', 'config_spacy.json', './models/nlu')
    run_nlu()

And reran the script python dialogue_management_model.py again but still that same issue.

[JustinaPetr]

Hmmm. That's odd. When you rerun nlu_model.py after uncommenting that line, did you get any errors? Can you see that NLU model was updated in ./models/nlu/default/weathernlu ? Also, can you tell me which Rasa NLU and Rasa Core versions are you using?

[antoinecomp]

There is indeed an error there !

(envMoodbot2) mike@mike-thinks:~/Programing/Rasa_tutorial/Weatherbot_Tutorial/Full Code$ python nlu_model.py 
Traceback (most recent call last):
  File "nlu_model.py", line 1, in <module>
    from rasa_nlu.converters import load_data
ImportError: No module named 'rasa_nlu.converters'

But I don't know why I can't install it :

(envMoodbot2) mike@mike-thinks:~/Programing/Rasa_tutorial/Weatherbot_Tutorial/Full Code$ python -m pip install rasa_nlu.converters
Collecting rasa_nlu.converters
  Could not find a version that satisfies the requirement rasa_nlu.converters (from versions: )
No matching distribution found for rasa_nlu.converters

About the version I'm using :

(envMoodbot2) mike@mike-thinks:~/Programing/Rasa_tutorial/Weatherbot_Tutorial/Full Code$ pip list :
...
rasa-core                0.9.0a3    
rasa-nlu                 0.12.3  
...

[JustinaPetr]

I assume you are using the latest Rasa NLU version... if that's the case then you will either have to use the older version of Rasa NLU (I think I used 0.11.0 for the video), or you can change few bits in nlu_model.py file (as I have mentioned, Rasa NLU had quite a few updates since I recorded the video so some things have changed):

from rasa_nlu.training_data import load_data
from rasa_nlu import config
from rasa_nlu.model import Trainer
from rasa_nlu.model import Metadata, Interpreter

def train_nlu(data, configs, model_dir):
    training_data = load_data(data)
    trainer = Trainer(config.load(configs))
    trainer.train(training_data)
    model_directory = trainer.persist(model_dir, fixed_model_name = 'weathernlu')

def run_nlu():
    interpreter = Interpreter.load('./models/nlu/default/weathernlu')
    print(interpreter.parse("I am planning my holiday to Lithuania. I wonder what is the weather out there."))

if __name__ == '__main__':
    train_nlu('./data/data.json', 'config_spacy.json', './models/nlu')
    run_nlu()

As you can see I only changed the config file in train_nlu function is loaded as well as how the interpreter is loaded. Try running this code instead and let me know if that helps :)

[JustinaPetr]

Yep, it is definitely because I used an older version of Rasa NLU. Try using the script above for retraining the NLU model.

[antoinecomp]

This (almost) works !! :clinking_glasses: Amazing ! :

(envMoodbot2) mike@mike-thinks:~/Programing/Rasa_tutorial/Weatherbot_Tutorial/Full Code$ python dialogue_management_model.py 
...
och 299/300
17/17 [==============================] - 0s 267us/step - loss: 0.2495 - acc: 1.0000 - val_loss: 1.0766 - val_acc: 0.6000
Epoch 300/300
17/17 [==============================] - 0s 271us/step - loss: 0.2920 - acc: 0.9412 - val_loss: 1.0710 - val_acc: 0.6000
/home/mike/Programing/Rasa_tutorial/moodbot2/envMoodbot2/lib/python3.5/site-packages/rasa_nlu/extractors/entity_synonyms.py:85: UserWarning: Failed to load synonyms file from './models/nlu/default/weathernlu/entity_synonyms.json'
  "".format(entity_synonyms_file))
Bot loaded. Type a message and press enter: 
Hey !
/home/mike/Programing/Rasa_tutorial/moodbot2/envMoodbot2/lib/python3.5/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
Hello! How can I help?
What's the weather in Lithuania ?
/home/mike/Programing/Rasa_tutorial/moodbot2/envMoodbot2/lib/python3.5/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:
Hello ?
/home/mike/Programing/Rasa_tutorial/moodbot2/envMoodbot2/lib/python3.5/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
  if diff:

There is just this warning message which will turn to an error one day. I do not know what you think about it. Another issue I'm facing is that I'm not able to ask for the weather in your country.

But that is another story, I think I can close the issue ?

[uchandr]

Hi Justina, What version of Rasa NLU and Rasa Core did you use?

[JustinaPetr]

Hey @uchandr. If you are using the code from this repo then it is using the following:

Latest compatible Rasa NLU version: 0.12.3 Latest compatible Rasa Core version: 0.9.8

I will make an update so that it would work with the latest releases.

[mk4224]

Hi @JustinaPetr Plese help me to fix this problem. I have used this code:

from rasa_nlu.training_data import load_data from rasa_nlu import config from rasa_nlu.model import Trainer from rasa_nlu.model import Metadata, Interpreter

def train_nlu(data, configs, model_dir): training_data = load_data(data) trainer = Trainer(config.load(configs)) trainer.train(training_data) model_directory = trainer.persist(model_dir, fixed_model_name = 'weathernlu')

def run_nlu(): interpreter = Interpreter.load('./models/nlu/default/weathernlu') print(interpreter.parse("I am planning my holiday to Lithuania. I wonder what is the weather out there."))

if name == 'main': train_nlu('./data/data.json', 'config_spacy.json', './models/nlu') run_nlu() I have the same error. i.e File "nlu_model.py", line 1, in from rasa_nlu.training_data import @@@load_data ImportError: cannot import name load_data

I am using rasa_core version=0.11.5, rasa_nlu version=0.11.5

[Itagiba]

I am having the exact same problem. I downloaded the latest code version. And have the following:

from rasa_nlu.training_data import load_data
from rasa_nlu import config
from rasa_nlu.model import Trainer
from rasa_nlu.model import Metadata, Interpreter

def train_nlu(data, configs, model_dir):
    training_data = load_data(data)
    trainer = Trainer(config.load(configs))
    trainer.train(training_data)
    model_directory = trainer.persist(model_dir, fixed_model_name = 'weathernlu')

def run_nlu():
    interpreter = Interpreter.load('./models/nlu/default/weathernlu')
    print(interpreter.parse("I am planning my holiday to Lithuania. I wonder what is the weather out there."))

if __name__ == '__main__':
    train_nlu('./data/data.json', 'config_spacy.json', './models/nlu')
    run_nlu()

And I get the same error:

  File "nlu_model.py", line 1, in <module>
    from rasa_nlu.training_data import load_data
ImportError: No module named rasa_nlu.training_data

Is this issue fixed?