interpreter = Interpreter.load(’./model/nlu/default/weathernlu’, config.load(‘config_spacy.json’))
The above code shows error 'AttributeError: ‘RasaNLUModelConfig’ object has no attribute ‘load_component’
interpreter = Interpreter.load(’./model/nlu/default/weathernlu’, config.load(‘config_spacy.json’))
The above code shows error 'AttributeError: ‘RasaNLUModelConfig’ object has no attribute ‘load_component’
Current version of RASA nlu does not require 2nd parameter in the Interpreter.load function.
it simply works if you provide just the model directory
from rasa_nlu.model import Interpreter
interpreter = Interpreter.load(model_directory)
[Python API](Rasa python Api link)