def run_hello_world(serve_forever=True):
default_domain = TemplateDomain.load("examples/default_domain.yml")
agent = Agent(default_domain,
policies=[SimplePolicy()],
interpreter=HelloInterpreter(),
tracker_store=InMemoryTrackerStore(default_domain))
if serve_forever:
# Attach the commandline input to the controller to handle all
# incoming messages from that channel
agent.handle_channel(ConsoleInputChannel())
return agent
def run(serve_forever=True):
interpreter = RasaNLUInterpreter("models/nlu/default/current")
#agent = Agent.load("models/dialogue", interpreter=interpreter)
default_domain = TemplateDomain.load("domain.yml")
agent = Agent(default_domain,
policies=[SimplePolicy()],
interpreter=interpreter)
if serve_forever:
#agent.handle_channel(ConsoleInputChannel())
agent.handle_channel(
HttpInputChannel(3000, "/app", input_channel_telegram))
return agent
def run_online_training(self, ensemble, domain, interpreter=None,
input_channel=None):
from rasa_core.agent import Agent
if interpreter is None:
interpreter = RegexInterpreter()
bot = Agent(domain, ensemble,
featurizer=self.featurizer,
interpreter=interpreter)
bot.toggle_memoization(False)
try:
bot.handle_channel(
input_channel if input_channel else ConsoleInputChannel())
except TrainingFinishedException:
pass # training has finished
def run_online_training(
self,
domain, # type: Domain
interpreter, # type: NaturalLanguageInterpreter
input_channel=None # type: Optional[InputChannel]
):
# type: (...) -> None
from rasa_core.agent import Agent
if interpreter is None:
interpreter = RegexInterpreter()
bot = Agent(domain, self, interpreter=interpreter)
bot.toggle_memoization(False)
try:
bot.handle_channel(
input_channel if input_channel else ConsoleInputChannel())
except TrainingFinishedException:
pass # training has finished
def run_online_training(self,
domain, # type: Domain
interpreter, # type: NaturalLanguageInterpreter
input_channel=None # type: Optional[InputChannel]
):
# type: (...) -> None
from rasa_core.agent import Agent
if interpreter is None:
interpreter = RegexInterpreter()
bot = Agent(domain, self,
interpreter=interpreter)
bot.toggle_memoization(False)
try:
bot.handle_channel(
input_channel if input_channel else ConsoleInputChannel())
except TrainingFinishedException:
pass # training has finished
def test_dialog():
agent = Agent(domain_file, policies=[RulePolicy()])
agent.handle_channel(ConsoleInputChannel())
return agent
