def _fallback_model(self):
meta = Metadata(
{
"pipeline": [{
"name":
"KeywordIntentClassifier",
"class":
utils.module_path_from_object(KeywordIntentClassifier())
}]
}, "")
return Interpreter.create(meta, self._component_builder)
def fallback_model(component_builder: ComponentBuilder):
meta = Metadata(
{
"pipeline": [
{
"name": "KeywordIntentClassifier",
"class": utils.module_path_from_object(
KeywordIntentClassifier()
),
}
]
},
"",
)
interpreter = Interpreter.create(meta, component_builder)
return NLUModel(FALLBACK_MODEL_NAME, interpreter)
def _interpreter_for_model(self, model_name, model_dir=None):
metadata = self._read_model_metadata(model_name, model_dir)
return Interpreter.create(metadata, self._component_builder)
def interpreter_for_model(component_builder, model_dir):
metadata = Metadata.load(model_dir)
return Interpreter.create(metadata, component_builder)
