def print_run_or_instructions(args: argparse.Namespace, path: Text) -> None:
from rasa.core import constants
import questionary
should_run = questionary.confirm(
"Do you want to speak to the trained bot on the command line? 🤖").ask(
)
if should_run:
# provide defaults for command line arguments
attributes = [
"endpoints",
"credentials",
"cors",
"auth_token",
"jwt_secret",
"jwt_method",
"enable_api",
]
for a in attributes:
setattr(args, a, None)
args.port = constants.DEFAULT_SERVER_PORT
shell(args)
else:
print_success("Ok 👍🏼. If you want to speak to the bot later, "
"change into the project directory and run 'rasa shell'."
"".format(path))
def print_run_or_instructions(args: argparse.Namespace, path: Text) -> None:
from rasa.core import constants
import questionary
should_run = (
questionary.confirm(
"Do you want to speak to the trained assistant on the command line? 🤖"
)
.skip_if(args.no_prompt, default=False)
.ask()
)
if should_run:
# provide defaults for command line arguments
attributes = [
"endpoints",
"credentials",
"cors",
"auth_token",
"jwt_secret",
"jwt_method",
"enable_api",
"remote_storage",
]
for a in attributes:
setattr(args, a, None)
args.port = constants.DEFAULT_SERVER_PORT
shell(args)
else:
if args.no_prompt:
print(
"If you want to speak to the assistant, "
"run 'rasa shell' at any time inside "
"the project directory."
"".format(path)
)
else:
print_success(
"Ok 👍🏼. "
"If you want to speak to the assistant, "
"run 'rasa shell' at any time inside "
"the project directory."
"".format(path)
)
def rasa_shell(model: Text):
from rasa.core import constants
from rasa.cli.shell import shell
import argparse
args = argparse.Namespace(model=model)
# provide defaults for command line arguments
attributes = [
"endpoints",
"credentials",
"cors",
"auth_token",
"jwt_secret",
"jwt_method",
"enable_api",
"remote_storage",
]
for a in attributes:
setattr(args, a, None)
args.port = constants.DEFAULT_SERVER_PORT
shell(args)
