slack.py

from rasa_core.channels.slack import SlackInput
from rasa_core.agent import Agent
from rasa_core.interpreter import RasaNLUInterpreter
import os
from rasa_core.utils import EndpointConfig

# load your trained agent
interpreter = RasaNLUInterpreter("models/nlu/default/horoscopebot/")
MODEL_PATH = "models/dialogue"
action_endpoint = EndpointConfig(url="https://horoscopebot1212-actions.herokuapp.com/webhook")

agent = Agent.load(MODEL_PATH, interpreter=interpreter, action_endpoint=action_endpoint)

input_channel = SlackInput(
            slack_token="xoxb-433387595414-431838839188-xi7JcipzMsXARwt1QkcRiAVj",
            # this is the `bot_user_o_auth_access_token`
            slack_channel="@slackbot"
            # the name of your channel to which the bot posts (optional)
    )
# set serve_forever=False if you want to keep the server running
s = agent.handle_channels([input_channel],  int(os.environ.get('PORT', 5004)), serve_forever=True)