Hi all, I’m currently using RASA 2.8.1. My project require me to call rasa train from the python script and then replace the currently used model with the newly trained one. Previously, I have used subprocess to call this line from a script rasa train --domain data I have 2 problems: Are there any way to call rasa train directly from the python code without going through bash? After training, how can I use the new model without restarting rasa server? Thank you all.

Here :slight_smile: RasaHQ/rasa/blob/main/rasa/server.py#L1335 model_server=model_server, remote_storage=remote_storage, endpoints=endpoints, ) new_agent.lock_store = app.agent.lock_store app.agent = new_agent logger.debug(f"Successfully loaded model '{model_path}'.") return response.json(None, status=HTTPStatus.NO_CONTENT) @app.delete("/model") @requires_auth(app, auth_token) async def unload_model(request: Request) -> HTTPResponse: model_file = app.agent.model_name app.agent = Agent(lock_store=app.agent.lock_store) logger.debug(f"Successfully unloaded model '{model_file}'.") return response.json(None, status=HTTPStatus.NO_CONTENT) @app.get("/domain")

How to run training and replace current RASA model from python script

Rasa Open Source

ChrisRahme (Chris Rahmé) November 29, 2021, 7:36am 4

So you can also execute it with Python subprocess, or with the HTTP API

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How to run training and replace current RASA model from python script

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