I am working with the rasa 1.0.1 and I want to write a server which will have multiple agents and I want to load trained models at runtime, I can not find anything on the documentation of Rasa. If anyone can help me with how can I load the trained models in python code and run queries against it. It would be appreciated. Thank you!
If you want to load an agent with an already trained model, you can use
# unpack your model before you load it, e.g. model path is a .tar.gz file
model_path = get_model(model_path)
# load the agent
agent = Agent.load(model_path)
Is it that what you are looking for? If not, can you please rephrase what you want to know?