JustinaPetr

from rasa_core.agent import Agent
from rasa_core.interpreter import RasaNLUInterpreter
from custom import GoogleConnector
from rasa_core.utils import EndpointConfig

action_endpoint = EndpointConfig(url="http://localhost:5055/webhook")
nlu_interpreter = RasaNLUInterpreter('./models/current/nlu_model')
agent = Agent.load('./models/current/dialogue', interpreter = nlu_interpreter, action_endpoint=action_endpoint)

input_channel = GoogleConnector()

JustinaPetr

class RestaurantForm(FormAction):
    """Example of a custom form action"""

JustinaPetr

class RestaurantForm(FormAction):
    """Example of a custom form action"""

    def name(self):
        """Unique identifier of the form"""
        return "restaurant_form"

JustinaPetr

class RestaurantForm(FormAction):
    """Example of a custom form action"""

    def name(self):
        """Unique identifier of the form"""
        return "restaurant_form"


	@staticmethod
    def required_slots(tracker: Tracker) -> List[Text]:

JustinaPetr

def required_slots(tracker):
    # type: () -> List[Text]
    """A list of required slots that the form has to fill"""

    if tracker.get_slot('cuisine') == 'greek':
        return ["cuisine", "num_people", "outdoor_seating",
             	"preferences", "feedback"]
    else:
        return ["cuisine", "num_people",
             	"preferences", "feedback"]

JustinaPetr

class RestaurantForm(FormAction):
    """Example of a custom form action"""

    def name(self):
        """Unique identifier of the form"""
        return "restaurant_form"


    @staticmethod
    def required_slots(tracker: Tracker) -> List[Text]:

JustinaPetr

def slot_mappings(self):
    # type: () -> Dict[Text: Union[Dict, List[Dict]]]
    """A dictionary to map required slots to
    - an extracted entity
    - intent: value pairs
    - a whole message or a list of them, where a first 
                                 match will be picked"""

    return { "outdoor_seating": [self.from_entity(entity="seating"),
                      self.from_intent(intent='affirm',

JustinaPetr

import nltk
from nltk.classify import NaiveBayesClassifier
from nltk.corpus import twitter_samples
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
from nltk.stem.wordnet import WordNetLemmatizer


class SentimentClassifier(object):

JustinaPetr

from rasa_nlu.components import Component
from rasa_nlu import utils
from rasa_nlu.model import Metadata
from sentiment_classifier import SentimentClassifier

import nltk
from nltk.classify import NaiveBayesClassifier
from nltk.corpus import twitter_samples
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords

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):