Amazon Lex
Developer Guide

Test the Bot Using Speech Input (AWS CLI)

To test the bot using audio files, use the PostContent operation. You generate the audio files using Amazon Polly text-to-speech operations.

To run the commands in this exercise, you need to know the region the Amazon Lex and Amazon Polly commands will be run. For a list of regions for Amazon Lex, see Runtime Service Limits. For a list of regions for Amazon Polly see AWS Regions and Endpoints in the Amazon Web Services General Reference.

Note

The following AWS CLI example is formatted for Unix, Linux, and macOS. For Windows, change "\$LATEST" to $LATEST and replace the backslash (\) continuation character at the end of each line with a caret (^).

To use a speech input to test the bot (AWS CLI)

  1. In the AWS CLI, create an audio file using Amazon Polly. The example is formatted for Unix, Linux, and macOS. For Windows, replace the backslash (\) Unix continuation character at the end of each line with a caret (^).

    aws polly synthesize-speech \ --region region \ --output-format pcm \ --text "i would like to order flowers" \ --voice-id "Kendra" \ IntentSpeech.mpg
  2. To send the audio file to Amazon Lex, run the following command. Amazon Lex saves the audio from the response in the specified output file.

    aws lex-runtime post-content \ --region region \ --bot-name OrderFlowersBot \ --bot-alias "\$LATEST" \ --user-id UserOne \ --content-type "audio/l16; rate=16000; channels=1" \ --input-stream IntentSpeech.mpg \ IntentOutputSpeech.mpg

    Amazon Lex responds with a request for the first slot. It saves the audio response in the specified output file.

    {
        "contentType": "audio/mpeg", 
        "slotToElicit": "FlowerType", 
        "dialogState": "ElicitSlot", 
        "intentName": "OrderFlowers", 
        "inputTranscript": "i would like to order some flowers", 
        "slots": {
            "PickupDate": null, 
            "PickupTime": null, 
            "FlowerType": null
        }, 
        "message": "What type of flowers would you like to order?"
    }
  3. To order roses, create the following audio file and send it to Amazon Lex :

    aws polly synthesize-speech \ --region region \ --output-format pcm \ --text "roses" \ --voice-id "Kendra" FlowerTypeSpeech.mpg
    aws lex-runtime post-content \ --region region \ --bot-name OrderFlowersBot \ --bot-alias "\$LATEST" \ --user-id UserOne \ --content-type "audio/l16; rate=16000; channels=1" \ --input-stream FlowerTypeSpeech.mpg \ FlowerTypeOutputSpeech.mpg
  4. To set the delivery date, create the following audio file and send it to Amazon Lex:

    aws polly synthesize-speech \ --region region \ --output-format pcm \ --text "tuesday" \ --voice-id "Kendra" DateSpeech.mpg
    aws lex-runtime post-content \ --region region \ --bot-name OrderFlowersBot \ --bot-alias "\$LATEST" \ --user-id UserOne \ --content-type "audio/l16; rate=16000; channels=1" \ --input-stream DateSpeech.mpg DateOutputSpeech.mpg
  5. To set the delivery time, create the following audio file and send it to Amazon Lex:

    aws polly synthesize-speech \ --region region \ --output-format pcm \ --text "10:00 a.m." \ --voice-id "Kendra" TimeSpeech.mpg
    aws lex-runtime post-content \ --region region \ --bot-name OrderFlowersBot \ --bot-alias "\$LATEST" \ --user-id UserOne \ --content-type "audio/l16; rate=16000; channels=1" \ --input-stream TimeSpeech.mpg TimeOutputSpeech.mpg
  6. To confirm the delivery, create the following audio file and send it to Amazon Lex:

    aws polly synthesize-speech \ --region region \ --output-format pcm \ --text "yes" \ --voice-id "Kendra" ConfirmSpeech.mpg
    aws lex-runtime post-content \ --region region \ --bot-name OrderFlowersBot \ --bot-alias "\$LATEST" \ --user-id UserOne \ --content-type "audio/l16; rate=16000; channels=1" \ --input-stream ConfirmSpeech.mpg \ ConfirmOutputSpeech.mpg

    After you confirm the delivery, Amazon Lex sends a response that confirms fulfillment of the intent:

    {
        "contentType": "text/plain;charset=utf-8", 
        "dialogState": "ReadyForFulfillment", 
        "intentName": "OrderFlowers", 
        "inputTranscript": "yes", 
        "slots": {
            "PickupDate": "2017-05-16", 
            "PickupTime": "10:00", 
            "FlowerType": "roses"
        }
    }
    

Next Step

Exercise 2: Add a New Utterance (AWS CLI)

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