Hands-On Python Deep Learning for the Web

Step 3 – Making a call to the Dialogflow agent

Once we have the text version of the user's speech-based query, we will send it to the Dialogflow agent, as shown:

function goDialogFlow(text){            $.ajax({                type: "POST",                url: "https://XXXXXXXX.gateway.dialogflow.cloud.ushakov.co",                contentType: "application/json; charset=utf-8",                dataType: "json",                data: JSON.stringify({                     "session": "test",                    "queryInput": {                    "text": {                        "text": text,                        "languageCode": "en"                        }                    }                 }),                success: function(data) {                    var res = data.queryResult.fulfillmentText;                    speechSynthesis.speak(new SpeechSynthesisUtterance(res));                },                error: function() {                    console.log("Internal Server Error");                }            });         }

You'll observe that when the API call succeeds, we use the SpeechSynthesis API to speak out the ...