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pipeline: | |
- name: "intent_featurizer_count_vectors" | |
- name: "intent_classifier_tensorflow_embedding" | |
intent_tokenization_flag: true | |
intent_split_symbol: "+" |
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interpreter = Interpreter.load('models/current/nlu_model') | |
print(interpreter.parse("Yes. Can you give me suggestions on how to get there?")) |
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{ | |
'intent':{ | |
'name':'affirm+ask_transport', | |
'confidence':0.918471097946167 | |
}, | |
'entities':[ | |
], | |
'intent_ranking':[ | |
{ |
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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." |
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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): |
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{ | |
"actions": [ | |
{ | |
"description": "Default Welcome Intent", | |
"name": "MAIN", | |
"fulfillment": { | |
"conversationName": "<INSERT YOUR CONVERSATION NAME HERE>" | |
}, | |
"intent": { | |
"name": "actions.intent.MAIN", |
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{ | |
"actions": [ | |
{ | |
"description": "Default Welcome Intent", | |
"name": "MAIN", | |
"fulfillment": { | |
"conversationName": "welcome" | |
}, | |
"intent": { | |
"name": "actions.intent.MAIN", |
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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 |
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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 |
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class GoogleAssistant(InputChannel): | |
@classmethod | |
def name(cls): | |
def blueprint(self, on_new_message): |
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