Voice assistant is becoming very popular, and it’s quite easy to get one these days. I’m still studying how it can be integrated into the daily life, I created my first skill on alexa. I used my Python 100 project #3 Trending Wordcloud as a stepstone for this project.
I’m still half way to integrate some other element, so this time I just used alexa test console to confirm the functionality.
Output Example:
Here is the code:
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# --------------- Helpers that build all of the responses ---------------------- def build_speechlet_response(title, output, reprompt_text, should_end_session): return { 'outputSpeech': { 'type': 'PlainText', 'text': output }, 'card': { 'type': 'Simple', 'title': "SessionSpeechlet - " + title, 'content': "SessionSpeechlet - " + output }, 'reprompt': { 'outputSpeech': { 'type': 'PlainText', 'text': reprompt_text } }, 'shouldEndSession': should_end_session } def build_response(session_attributes, speechlet_response): return { 'version': '1.0', 'sessionAttributes': session_attributes, 'response': speechlet_response } # --------------- Functions that control the skill's behavior ------------------ def get_welcome_response(): """ If we wanted to initialize the session to have some attributes we could add those here """ session_attributes = {} card_title = "Welcome" speech_output = "Welcome to the Mister Trends Alexa SKill. " \ "This skill will tell you the trends based on Google Trends." # If the user either does not reply to the welcome message or says something # that is not understood, they will be prompted again with this text. reprompt_text = "Please tell me give you the latest news." should_end_session = False return build_response(session_attributes, build_speechlet_response( card_title, speech_output, reprompt_text, should_end_session)) def handle_session_end_request(): card_title = "Session Ended" speech_output = "Thank you for trying the Mister Trends Alexa Skill. " \ "Have a nice day! " # Setting this to true ends the session and exits the skill. should_end_session = True return build_response({}, build_speechlet_response( card_title, speech_output, None, should_end_session)) def get_latest_news(intent, session): """ Return the trending search words. """ card_title = intent['name'] session_attributes = {} should_end_session = True word_dict = get_latest_trends() speech_output = "Here is the trending searches" for id, word in enumerate(word_dict): speech_output += '. ' + str(id) + '. ' + word[0] reprompt_text = "" return build_response(session_attributes, build_speechlet_response( card_title, speech_output, reprompt_text, should_end_session)) # --------------- Events ------------------ def on_session_started(session_started_request, session): """ Called when the session starts """ print("on_session_started requestId=" + session_started_request['requestId'] + ", sessionId=" + session['sessionId']) def on_launch(launch_request, session): """ Called when the user launches the skill without specifying what they want """ print("on_launch requestId=" + launch_request['requestId'] + ", sessionId=" + session['sessionId']) # Dispatch to your skill's launch return get_welcome_response() def on_intent(intent_request, session): """ Called when the user specifies an intent for this skill """ print("on_intent requestId=" + intent_request['requestId'] + ", sessionId=" + session['sessionId']) intent = intent_request['intent'] intent_name = intent_request['intent']['name'] # Dispatch to your skill's intent handlers if intent_name == "LatestNewsIntent": return get_latest_news(intent, session) elif intent_name == "AMAZON.HelpIntent": return get_welcome_response() elif intent_name == "AMAZON.CancelIntent" or intent_name == "AMAZON.StopIntent": return handle_session_end_request() else: raise ValueError("Invalid intent") def on_session_ended(session_ended_request, session): """ Called when the user ends the session. Is not called when the skill returns should_end_session=true """ print("on_session_ended requestId=" + session_ended_request['requestId'] + ", sessionId=" + session['sessionId']) # add cleanup logic here # --------------- Helpder ----------------------- def get_latest_trends(pn='p1'): import operator from pytrends.request import TrendReq pytrend = TrendReq() trending_searches_df = pytrend.trending_searches() trending_dict = {} for id, row in trending_searches_df.iterrows(): trending_dict[row.title] = row.trafficBucketLowerBound sorted_dict = sorted(trending_dict.items(), key=operator.itemgetter(1)) return sorted_dict # --------------- Main handler ------------------ def lambda_handler(event, context): """ Route the incoming request based on type (LaunchRequest, IntentRequest, etc.) The JSON body of the request is provided in the event parameter. """ print("event.session.application.applicationId=" + event['session']['application']['applicationId']) if event['session']['new']: on_session_started({'requestId': event['request']['requestId']}, event['session']) if event['request']['type'] == "LaunchRequest": return on_launch(event['request'], event['session']) elif event['request']['type'] == "IntentRequest": return on_intent(event['request'], event['session']) elif event['request']['type'] == "SessionEndedRequest": return on_session_ended(event['request'], event['session']) |
And this is json file for Alexa Skills:
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{ "interactionModel": { "languageModel": { "invocationName": "mister trends", "intents": [ { "name": "AMAZON.CancelIntent", "samples": [] }, { "name": "AMAZON.HelpIntent", "samples": [] }, { "name": "AMAZON.StopIntent", "samples": [] }, { "name": "LatestNewsIntent", "slots": [], "samples": [ "give me the latest news", "show me the latest news" ] } ], "types": [] } } } |