private async Task faceReceivedAsync(IDialogContext context, IAwaitable <IEnumerable <Attachment> > arguement)
{
// here, the images will go thru "checkFace" to get the users
// if face is not found, computer vision is performed to get the caption of this image
// or else if face is found, then it will response the message
// note that the message here is hard coded, purely for demo purpose
var uploadImage = await arguement;
if (uploadImage != null)
{
string faceURL = uploadImage.Last().ContentUrl;
string userName = await SLADemo2.Dialog.FaceData.checkFace(faceURL);
if (userName == "notFound")
{
await context.PostAsync("Sorry, the face doesn't match with the registered face.");
context.Wait(MessageReceived);
}
else if (userName == "noFaceFound")
{
visionObj visionJSON = await SLADemo2.Dialog.ComputerVision.GetImageJSON(faceURL);
string caption = visionJSON.description.captions[0].text;
await context.PostAsync("I think I saw " + caption + ". This is an invalid photo.");
context.Wait(MessageReceived);
}
else
{
await context.PostAsync(userName + " is found.");
await context.PostAsync("According to HDB, the address that you provided is not registered under your name. It is a rental unit.");
context.Wait(MessageReceived);
}
}
else
{
await context.PostAsync("No image received.");
}
}
public static async Task <visionObj> GetImageJSON(string imageURL)
{//Http post and retrive JSON from cognitive services
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "<computer vision api>");
var uri = "https://api.projectoxford.ai/vision/v1.0/analyze?visualFeatures=Tags,Description&language=en";
HttpResponseMessage response;
byte[] byteData = Encoding.UTF8.GetBytes("{\"url\":\"" + imageURL + "\"}");
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
response = await client.PostAsync(uri, content);
var result = await response.Content.ReadAsStringAsync();
visionObj ImageJSON = JsonConvert.DeserializeObject <visionObj>(result);
return(ImageJSON);
}
}
