How to write the component without cloning and patching the whole DeepPavlov repo? about deeppavlov

[seliverstov]

deeppavlov.deep interact module is pretty simple. You can write two line of code to interact with your model directly in your own python script:

from deeppavlov.core.commands.infer import interact_model
interact_model(pipeline_config_path)

or train your model:

from deeppavlov.core.commands.train import train_model_from_config
train_model_from_config(pipeline_config_path)

[seliverstov]

The only reason we write the imports in the __init__ file is to ensure that all standard components are registered through the decorator @register.

@register('ner')
class NER(TFModel):

It is not necessary to put your component import in this __init__ file, you only need to ensure that the appropriate decorator is called before the component is used through it code name in pipeline.

[sld]

I am running next command:
python -m deeppavlov.deep interact deeppavlov/configs/custom_config_component.json

How can I register custom component's dataset readers, iterators, model without putting to __init__.py of DeepPavlov repo?

It seems that I should write my own fork of deeppavlov.deep interact module.

[sshivaji]

This should be in the FAQ as its a very common need!