├── LICENSE ├── README.md ├── alexa_connector.py ├── alexa_schema.json ├── mood_bot_text ├── alexa_connector.py ├── config.yml ├── credentials.yml ├── data │ ├── nlu.md │ └── stories.md ├── domain.yml ├── endpoints.yml ├── models │ └── 20200227-114826.tar.gz └── requirements.txt └── square_logo.svg /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright 2020 Rasa Technologies Inc. 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | # Tutorial: Building a Rasa-powered Alexa Assistant 4 | 5 | This repository contains the code of the tutorial of connecting Rasa-powered assistant to Alexa. You can find the [step-by-step tutorial here](https://blog.rasa.com/connect-your-rasa-ai-assistant-to-amazon-alexa) or in [this YouTube Playlist](https://www.youtube.com/playlist?list=PL75e0qA87dlGBbO8rWacgq9ejr5stsGnh). 6 | 7 | ## What's in this repository? 8 | 9 | This repository consists of the following files and directories: 10 | - **mood_bot_text** - a directory which contains a pre-built Rasa assistant called Moodbot Text, based on the [Moodbot](https://github.com/RasaHQ/rasa/tree/master/examples/moodbot) example that's built when you run `init rasa`. This assistant is used to demonstrate the integration to Alexa. 11 | - **alexa_schema.json** - a custom Alexa configuration file that will create an intent and slot to return the user's complete response. 12 | - **alexa_connector.py** - a custom Rasa-Alexa Assistant connector. If you follow the tutorial using your own assistant, add this connector to your project directory. 13 | 14 | ## How to use this repository? 15 | 16 | The best way to use this repository is to follow [this step-by-step tutorial](https://blog.rasa.com/connect-your-rasa-ai-assistant-to-amazon-alexa) on how to integrate the Rasa assistant to Alexa. 17 | 18 | You can download the code for this repository by running: 19 | 20 | `git clone https://github.com/RasaHQ/tutorial-rasa-alexa.git` 21 | 22 | From here, install the required packages in your virtual environment by running: 23 | 24 | `cd tutorial-rasa-alexa/mood_bot_text` 25 | `pip install -r requirements.txt` 26 | 27 | You should now be able to train your assistant using: 28 | 29 | `rasa train` 30 | 31 | Once your assistant is trained, you can try interacting with it in the shell by running: 32 | 33 | `rasa shell` 34 | 35 | 36 | ## Let us know how you are getting on! 37 | 38 | If you have any questions about this tutorial or this repository, feel free to share them on [Rasa Community Forum](https://forum.rasa.com). 39 | -------------------------------------------------------------------------------- /alexa_connector.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import json 3 | from sanic import Blueprint, response 4 | from sanic.request import Request 5 | from typing import Text, Optional, List, Dict, Any 6 | 7 | from rasa.core.channels.channel import UserMessage, OutputChannel 8 | from rasa.core.channels.channel import InputChannel 9 | from rasa.core.channels.channel import CollectingOutputChannel 10 | 11 | logger = logging.getLogger(__name__) 12 | 13 | 14 | class AlexaConnector(InputChannel): 15 | """A custom http input channel for Alexa. 16 | 17 | You can find more information on custom connectors in the 18 | Rasa docs: https://rasa.com/docs/rasa/user-guide/connectors/custom-connectors/ 19 | """ 20 | 21 | @classmethod 22 | def name(cls): 23 | return "alexa_assistant" 24 | 25 | # Sanic blueprint for handling input. The on_new_message 26 | # function pass the received message to Rasa Core 27 | # after you have parsed it 28 | def blueprint(self, on_new_message): 29 | 30 | alexa_webhook = Blueprint("alexa_webhook", __name__) 31 | 32 | # required route: use to check if connector is live 33 | @alexa_webhook.route("/", methods=["GET"]) 34 | async def health(request): 35 | return response.json({"status": "ok"}) 36 | 37 | # required route: defines 38 | @alexa_webhook.route("/webhook", methods=["POST"]) 39 | async def receive(request): 40 | # get the json request sent by Alexa 41 | payload = request.json 42 | # check to see if the user is trying to launch the skill 43 | intenttype = payload["request"]["type"] 44 | 45 | # if the user is starting the skill, let them know it worked & what to do next 46 | if intenttype == "LaunchRequest": 47 | message = "Hello! Welcome to this Rasa-powered Alexa skill. You can start by saying 'hi'." 48 | session = "false" 49 | else: 50 | # get the Alexa-detected intent 51 | intent = payload["request"]["intent"]["name"] 52 | 53 | # makes sure the user isn't trying to end the skill 54 | if intent == "AMAZON.StopIntent": 55 | session = "true" 56 | message = "Talk to you later" 57 | elif intent == "AMAZON.FallbackIntent": 58 | session = "false" 59 | message = "I'm sorry I did not understand what you said" 60 | else: 61 | # get the user-provided text from the slot named "text" 62 | text = payload["request"]["intent"]["slots"]["text"]["value"] 63 | 64 | # initialize output channel 65 | out = CollectingOutputChannel() 66 | 67 | # send the user message to Rasa & wait for the 68 | # response to be sent back 69 | await on_new_message(UserMessage(text, out)) 70 | # extract the text from Rasa's response 71 | responses = [m["text"] for m in out.messages] 72 | message = responses[0] 73 | session = "false" 74 | # Send the response generated by Rasa back to Alexa to 75 | # pass on to the user. For more information, refer to the 76 | # Alexa Skills Kit Request and Response JSON Reference: 77 | # https://developer.amazon.com/en-US/docs/alexa/custom-skills/request-and-response-json-reference.html 78 | r = { 79 | "version": "1.0", 80 | "sessionAttributes": {"status": "test"}, 81 | "response": { 82 | "outputSpeech": { 83 | "type": "PlainText", 84 | "text": message, 85 | "playBehavior": "REPLACE_ENQUEUED", 86 | }, 87 | "reprompt": { 88 | "outputSpeech": { 89 | "type": "PlainText", 90 | "text": message, 91 | "playBehavior": "REPLACE_ENQUEUED", 92 | } 93 | }, 94 | "shouldEndSession": session, 95 | }, 96 | } 97 | 98 | return response.json(r) 99 | 100 | return alexa_webhook 101 | -------------------------------------------------------------------------------- /alexa_schema.json: -------------------------------------------------------------------------------- 1 | { 2 | "interactionModel": { 3 | "languageModel": { 4 | "invocationName": "text mood bot", 5 | "intents": [ 6 | { 7 | "name": "ReturnUserInput", 8 | "slots": [ 9 | { 10 | "name": "text", 11 | "type": "ReturnAllText" 12 | } 13 | ], 14 | "samples": [ 15 | "{text}" 16 | ] 17 | }, 18 | { 19 | "name": "AMAZON.StopIntent", 20 | "samples": [ 21 | "stop", 22 | "ok bye" 23 | ] 24 | }, 25 | { 26 | "name": "AMAZON.NavigateHomeIntent", 27 | "samples": [] 28 | } 29 | ], 30 | "types": [ 31 | { 32 | "name": "ReturnAllText", 33 | "values": [ 34 | { 35 | "name": { 36 | "value": "All human beings are born free and equal in dignity and rights." 37 | } 38 | }, 39 | { 40 | "name": { 41 | "value": "karaamat kee garwa wagittaamal seehada inkih gide akkuk, currik taabuke." 42 | } 43 | }, 44 | { 45 | "name": { 46 | "value": "Të gjithë njerëzit lindin të lirë dhe të barabartë në dinjitet dhe në të drejta." 47 | } 48 | }, 49 | { 50 | "name": { 51 | "value": "Konojel ri winaqi' kan kalaxib'en pe ri kolotajïk, ri junan kiq'ij, ri junan kejqalen, junan kich'ojib'al pa kik'aslen" 52 | } 53 | }, 54 | { 55 | "name": { 56 | "value": "Himmaka' nittakookano hattak yokasht toksalicha'nikat ki'yo." 57 | } 58 | }, 59 | { 60 | "name": { 61 | "value": "Era sucu ena galala na tamata yadua, era tautauvata ena nodra dokai kei na nodra dodonu." 62 | } 63 | }, 64 | { 65 | "name": { 66 | "value": "Tha gach uile dhuine air a bhreth saor agus co-ionnan ann an urram 's ann an còirichean." 67 | } 68 | }, 69 | { 70 | "name": { 71 | "value": "人人生而自由，在尊严合权利上一律平等。" 72 | } 73 | }, 74 | { 75 | "name": { 76 | "value": "Semua orang dilahirkan merdeka dan mempunyai martabat dan hak-hak yang sama." 77 | } 78 | }, 79 | { 80 | "name": { 81 | "value": "Everi human being, naim dem born free and dem de equal for dignity and di rights wey we get, as human beings" 82 | } 83 | }, 84 | { 85 | "name": { 86 | "value": "Bonke abantu bazalwa bekhululekile belingana ngesithunzi nangamalungelo." 87 | } 88 | }, 89 | { 90 | "name": { 91 | "value": "सागला िमनख आज़ाद अर ूितƵा ने आिधकारां रȣ बरोबरȣ िलयोडा पैदा होवे। åहां मɅ" 92 | } 93 | }, 94 | { 95 | "name": { 96 | "value": "Nganana maru tjuta, tjulkura tjuta, manta yurungka parrari nyinapayi tjutanya liipulala nyinanyi, nganana yanangu maru tjuta wiya kuyakuya." 97 | } 98 | } 99 | ] 100 | } 101 | ] 102 | } 103 | } 104 | } 105 | -------------------------------------------------------------------------------- /mood_bot_text/alexa_connector.py: -------------------------------------------------------------------------------- 1 | import logging 2 | import json 3 | from sanic import Blueprint, response 4 | from sanic.request import Request 5 | from typing import Text, Optional, List, Dict, Any 6 | 7 | from rasa.core.channels.channel import UserMessage, OutputChannel 8 | from rasa.core.channels.channel import InputChannel 9 | from rasa.core.channels.channel import CollectingOutputChannel 10 | 11 | logger = logging.getLogger(__name__) 12 | 13 | 14 | class AlexaConnector(InputChannel): 15 | """A custom http input channel for Alexa. 16 | 17 | You can find more information on custom connectors in the 18 | Rasa docs: https://rasa.com/docs/rasa/user-guide/connectors/custom-connectors/ 19 | """ 20 | 21 | @classmethod 22 | def name(cls): 23 | return "alexa_assistant" 24 | 25 | # Sanic blueprint for handling input. The on_new_message 26 | # function pass the received message to Rasa Core 27 | # after you have parsed it 28 | def blueprint(self, on_new_message): 29 | 30 | alexa_webhook = Blueprint("alexa_webhook", __name__) 31 | 32 | # required route: use to check if connector is live 33 | @alexa_webhook.route("/", methods=["GET"]) 34 | async def health(request): 35 | return response.json({"status": "ok"}) 36 | 37 | # required route: defines 38 | @alexa_webhook.route("/webhook", methods=["POST"]) 39 | async def receive(request): 40 | # get the json request sent by Alexa 41 | payload = request.json 42 | # check to see if the user is trying to launch the skill 43 | intenttype = payload["request"]["type"] 44 | 45 | # if the user is starting the skill, let them know it worked & what to do next 46 | if intenttype == "LaunchRequest": 47 | message = "Hello! Welcome to this Rasa-powered Alexa skill. You can start by saying 'hi'." 48 | session = "false" 49 | else: 50 | # get the Alexa-detected intent 51 | intent = payload["request"]["intent"]["name"] 52 | 53 | # makes sure the user isn't trying to end the skill 54 | if intent == "AMAZON.StopIntent": 55 | session = "true" 56 | message = "Talk to you later" 57 | else: 58 | # get the user-provided text from the slot named "text" 59 | text = payload["request"]["intent"]["slots"]["text"]["value"] 60 | 61 | # initialize output channel 62 | out = CollectingOutputChannel() 63 | 64 | # send the user message to Rasa & wait for the 65 | # response to be sent back 66 | await on_new_message(UserMessage(text, out)) 67 | # extract the text from Rasa's response 68 | responses = [m["text"] for m in out.messages] 69 | message = responses[0] 70 | session = "false" 71 | # Send the response generated by Rasa back to Alexa to 72 | # pass on to the user. For more information, refer to the 73 | # Alexa Skills Kit Request and Response JSON Reference: 74 | # https://developer.amazon.com/en-US/docs/alexa/custom-skills/request-and-response-json-reference.html 75 | r = { 76 | "version": "1.0", 77 | "sessionAttributes": {"status": "test"}, 78 | "response": { 79 | "outputSpeech": { 80 | "type": "PlainText", 81 | "text": message, 82 | "playBehavior": "REPLACE_ENQUEUED", 83 | }, 84 | "reprompt": { 85 | "outputSpeech": { 86 | "type": "PlainText", 87 | "text": message, 88 | "playBehavior": "REPLACE_ENQUEUED", 89 | } 90 | }, 91 | "shouldEndSession": session, 92 | }, 93 | } 94 | 95 | return response.json(r) 96 | 97 | return alexa_webhook 98 | -------------------------------------------------------------------------------- /mood_bot_text/config.yml: -------------------------------------------------------------------------------- 1 | language: en 2 | 3 | pipeline: supervised_embeddings 4 | 5 | policies: 6 | - name: EmbeddingPolicy 7 | max_history: 5 8 | epochs: 200 9 | batch_size: 50 10 | max_training_samples: 300 11 | - name: FallbackPolicy 12 | - name: MemoizationPolicy 13 | - name: MappingPolicy -------------------------------------------------------------------------------- /mood_bot_text/credentials.yml: -------------------------------------------------------------------------------- 1 | alexa_connector.AlexaConnector: 2 | -------------------------------------------------------------------------------- /mood_bot_text/data/nlu.md: -------------------------------------------------------------------------------- 1 | ## intent:greet 2 | - hey 3 | - hello 4 | - hi 5 | - hello there 6 | - good morning 7 | - good evening 8 | - moin 9 | - hey there 10 | - let's go 11 | - hey dude 12 | - goodmorning 13 | - goodevening 14 | - good afternoon 15 | 16 | ## intent:goodbye 17 | - good afternoon 18 | - cu 19 | - good by 20 | - cee you later 21 | - good night 22 | - goodbye 23 | - have a nice day 24 | - see you around 25 | - see you later 26 | 27 | ## intent:affirm 28 | - yes 29 | - indeed 30 | - of course 31 | - that sounds good 32 | - correct 33 | 34 | ## intent:deny 35 | - no 36 | - never 37 | - I don't think so 38 | - don't like that 39 | - no way 40 | 41 | ## intent:mood_great 42 | - perfect 43 | - great 44 | - amazing 45 | - feeling like a king 46 | - wonderful 47 | - I am feeling very good 48 | - I am great 49 | - I am amazing 50 | - I am going to save the world 51 | - super stoked 52 | - extremely good 53 | - so so perfect 54 | - so good 55 | - so perfect 56 | 57 | ## intent:mood_unhappy 58 | - my day was horrible 59 | - I am sad 60 | - I don't feel very well 61 | - I am disappointed 62 | - super sad 63 | - I'm so sad 64 | - sad 65 | - very sad 66 | - unhappy 67 | - not good 68 | - not very good 69 | - extremly sad 70 | - so saad 71 | - so sad 72 | - a little down 73 | - grumpy 74 | 75 | ## intent:bot_challenge 76 | - are you a bot? 77 | - are you a human? 78 | - am I talking to a bot? 79 | - am I talking to a human? 80 | -------------------------------------------------------------------------------- /mood_bot_text/data/stories.md: -------------------------------------------------------------------------------- 1 | ## happy path 2 | * greet 3 | - utter_greet 4 | * mood_great 5 | - utter_happy 6 | 7 | ## sad path 1 8 | * greet 9 | - utter_greet 10 | * mood_unhappy 11 | - utter_cheer_up 12 | * affirm 13 | - utter_happy 14 | 15 | ## sad path 2 16 | * greet 17 | - utter_greet 18 | * mood_unhappy 19 | - utter_cheer_up 20 | * deny 21 | - utter_goodbye_console 22 | 23 | ## say goodbye 24 | * goodbye 25 | - utter_goodbye 26 | 27 | ## bot challenge 28 | * bot_challenge 29 | - utter_iamabot -------------------------------------------------------------------------------- /mood_bot_text/domain.yml: -------------------------------------------------------------------------------- 1 | intents: 2 | - greet 3 | - goodbye 4 | - affirm 5 | - deny 6 | - mood_great 7 | - mood_unhappy 8 | - bot_challenge 9 | 10 | actions: 11 | - utter_greet 12 | - utter_cheer_up 13 | - utter_happy 14 | - utter_goodbye 15 | - utter_goodbye_console 16 | - utter_iamabot 17 | 18 | responses: 19 | utter_greet: 20 | - text: "Hey! How are you?" 21 | buttons: 22 | - title: "great" 23 | payload: "/mood_great" 24 | - title: "super sad" 25 | payload: "/mood_unhappy" 26 | 27 | utter_cheer_up: 28 | - text: "Here's a fun fact to cheer you up: sea otters hold hands while sleeping so they don't float away from each other. Did that help you?" 29 | 30 | utter_happy: 31 | - text: "Great, carry on!" 32 | 33 | utter_goodbye: 34 | - text: "Bye" 35 | 36 | utter_goodbye_console: 37 | - text: "Sorry to hear that. I hope your day improves. Bye" 38 | 39 | utter_iamabot: 40 | - text: "I am a bot, powered by Rasa." -------------------------------------------------------------------------------- /mood_bot_text/endpoints.yml: -------------------------------------------------------------------------------- 1 | action_endpoint: 2 | url: 'http://localhost:5055/webhook' 3 | -------------------------------------------------------------------------------- /mood_bot_text/models/20200227-114826.tar.gz: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RasaHQ/tutorial-rasa-alexa/ce912e262f68a51db64220011a063a8f1713e8a4/mood_bot_text/models/20200227-114826.tar.gz -------------------------------------------------------------------------------- /mood_bot_text/requirements.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/RasaHQ/tutorial-rasa-alexa/ce912e262f68a51db64220011a063a8f1713e8a4/mood_bot_text/requirements.txt -------------------------------------------------------------------------------- /square_logo.svg: -------------------------------------------------------------------------------- 1 | --------------------------------------------------------------------------------