ImportError: cannot import name 'ConsoleInputChannel'

[raymundlabs]

I'm following up your tutorial but I'm getting this error.

(tensorflow_gpuenv) F:\global_2019\chatbot\agent01>python train_online.py Traceback (most recent call last): File "train_online.py", line 9, in from rasa_core.channels.console import ConsoleInputChannel ImportError: cannot import name 'ConsoleInputChannel'

Anyone solve this?

[AfrahAsif]

hey @raymund07 ,were you able to solve this? I am facing the same error.

[JustinaPetr]

I suppose you both are using Rasa Core version >= 0.11. In that case, please use the code from the directory which contains the code compatible with the latest versions of Rasa NLU and Rasa Core. That should solve the issue.

[Nikhileshorg]

Rasa core version : 0.14.0a1 Rasa nlu version : 0.14.4

For newer versions of rasa nlu and rasa core. Can we follow the same steps followed in your video tutorial. Because I have noticed that in the older version of your video tutorial. I can see in the online_train.py file doesn't have action_endpoint but in the new version of your online train file. It has action_endpoint. As you told, I have tried using the code from your repository. When I am using that updated code. I am getting this error.

Traceback (most recent call last): File "training_online.py", line 35, in nlu_interpreter = RasaNLUInterpreter('./models/nlu/default/weathernlu') File "c:\users\kastu\chatbot\rasa_core\rasa_core\interpreter.py", line 231, in init self._load_interpreter() File "c:\users\kastu\chatbot\rasa_core\rasa_core\interpreter.py", line 247, in _load_interpreter self.interpreter = Interpreter.load(self.model_directory) File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\rasa_nlu\model.py", line 293, in load skip_validation) File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\rasa_nlu\model.py", line 320, in create model_metadata, context) File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\rasa_nlu\components.py", line 419, in load_component cached_component, context) File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\rasa_nlu\registry.py", line 133, in load_component_by_name return component_clz.load(model_dir, metadata, cached_component, kwargs) File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\rasa_nlu\utils\spacy_utils.py", line 126, in load nlp = spacy.load(model_name, parser=False) File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\spacy__init__.py", line 21, in load return util.load_model(name, overrides) File "C:\Program Files (x86)\Microsoft Visual Studio\Shared\Python36_64\lib\site-packages\spacy\util.py", line 119, in load_model raise IOError(Errors.E050.format(name=name)) OSError: [E050] Can't find model 'None'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory.

Please help me. Let me know where I am going wrong. Thanks.

The content of the online_train.py file :

from future import absolute_import from future import division from future import print_function from future import unicode_literals

import logging

from rasa_core.agent import Agent from rasa_core.policies.keras_policy import KerasPolicy from rasa_core.policies.memoization import MemoizationPolicy from rasa_core.interpreter import RasaNLUInterpreter from rasa_core.train import interactive from rasa_core.utils import EndpointConfig

logger = logging.getLogger(name)

def run_weather_online(interpreter, domain_file="weather_domain.yml", training_data_file='data/stories.md'): action_endpoint = EndpointConfig(url="http://localhost:5055/webhook")
agent = Agent(domain_file, policies=[MemoizationPolicy(max_history=2), KerasPolicy(max_history=3, epochs=3, batch_size=50)], interpreter=interpreter, action_endpoint=action_endpoint)

data = agent.load_data(training_data_file)             
agent.train(data)
interactive.run_interactive_learning(agent, training_data_file)
return agent

if name == 'main': logging.basicConfig(level="INFO") nlu_interpreter = RasaNLUInterpreter('./models/nlu/default/weathernlu') run_weather_online(nlu_interpreter)