def chat(model_path: Text = None,
agent: 'Agent' = None,
interpreter: NaturalLanguageInterpreter = None) -> None:
"""Chat to the bot within a Jupyter notebook.
Args:
model_path: Path to a Rasa Stack model.
agent: Rasa Core agent (used if no Rasa Stack model given).
interpreter: Rasa NLU interpreter (used with Rasa Core agent if no
Rasa Stack model is given).
"""
if model_path:
from rasa.run import create_agent
unpacked = model.get_model(model_path)
agent = create_agent(unpacked)
elif agent and interpreter:
# HACK: this skips loading the interpreter and directly
# sets it afterwards
nlu_interpreter = RasaNLUInterpreter(
"skip this and use given "
"interpreter", lazy_init=True)
nlu_interpreter.interpreter = interpreter
agent.interpreter = interpreter
else:
print_error("You either have to define a model path or an agent and "
"an interpreter.")
print(
"Your bot is ready to talk! Type your messages here or send '/stop'.")
loop = asyncio.get_event_loop()
while True:
message = input()
if message == '/stop':
break
responses = loop.run_until_complete(agent.handle_text(message))
for response in responses:
_display_bot_response(response)
