JustinaPetr

pipeline:
- name: "intent_featurizer_count_vectors"
- name: "intent_classifier_tensorflow_embedding"
  intent_tokenization_flag: true
  intent_split_symbol: "+"

JustinaPetr

interpreter = Interpreter.load('models/current/nlu_model')
print(interpreter.parse("Yes. Can you give me suggestions on how to get there?"))

JustinaPetr

{  
   'intent':{  
      'name':'affirm+ask_transport',
      'confidence':0.918471097946167
   },
   'entities':[  

   ],
   'intent_ranking':[  
      {  

JustinaPetr

templates:
  utter_greet:
    - "Hey, how can I help you?"
  utter_goodbye:
    - "Talk to you later!"
    - "Goodbye :("
    - "Bye!"
  utter_affirm:
    - "Cool. Let me book the spot for you."
    - "Glad to hear. I'll make an RSVP for you."

JustinaPetr

from rasa_sdk import Action, Tracker
from rasa_sdk.events import SlotSet, AllSlotsReset
import requests
import json
from random import randint
import datetime
import os
import yaml

class ActionPlaceSearch(Action):

JustinaPetr

{
  "actions": [
    {
      "description": "Default Welcome Intent",
      "name": "MAIN",
      "fulfillment": {
        "conversationName": "<INSERT YOUR CONVERSATION NAME HERE>"
      },
      "intent": {
        "name": "actions.intent.MAIN",

JustinaPetr

{
   "actions": [
      {
        "description": "Default Welcome Intent",
        "name": "MAIN",
        "fulfillment": {
          "conversationName": "welcome"
        },
        "intent": {
          "name": "actions.intent.MAIN",

JustinaPetr

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals

import logging

from flask import Flask, Response, Blueprint, request, jsonify
from rasa_core.channels.channel import UserMessage, OutputChannel
from rasa_core.channels.channel import InputChannel

JustinaPetr

import logging
import json
from sanic import Blueprint, response
from sanic.request import Request
from typing import Text, Optional, List, Dict, Any

from rasa.core.channels.channel import UserMessage, OutputChannel
from rasa.core.channels.channel import InputChannel
from rasa.core.channels.channel import CollectingOutputChannel

JustinaPetr

class GoogleAssistant(InputChannel):

  @classmethod
  def name(cls):

  def blueprint(self, on_new_message):