async Task MakePredictionRequest(MediaFile file) //this function calls api
{
var client = new HttpClient();
//client.DefaultRequestHeaders.Add("Prediction-Key", "a51ac8a57d4e4345ab0a48947a4a90ac");
//string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/4da1555c-14ca-4aaf-af01-d6e1e97e5fa6/image?iterationId=7bc76035-3825-4643-917e-98f9d9f79b71";
client.DefaultRequestHeaders.Add("Prediction-Key", "430e3360ff90462a8cf63000ec2d2b54");
string url = "https://westcentralus.api.cognitive.microsoft.com/vision/v1.0/analyze?visualFeatures=Description&subscription-key=430e3360ff90462a8cf63000ec2d2b54";
HttpResponseMessage response;
byte[] byteData = GetImageAsByteArray(file);
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
response = await client.PostAsync(url, content);
if (response.IsSuccessStatusCode)
{
var responseString = await response.Content.ReadAsStringAsync();
JObject rss = JObject.Parse(responseString);
var caption = from p in rss["description"]["captions"] select(string) p["text"];
var captionToDB = "test";
foreach (var item in caption)
{
captionLabel.Text = item;
captionToDB = item;
}
ImageSenseModel model = new ImageSenseModel()
{
Caption = captionToDB
};
await AzureManager.AzureManagerInstance.PostImageSenseInformation(model);
}
}
file.Dispose();
}
public async Task PostImageSenseInformation(ImageSenseModel imageSenseModel)
{
await this.ImageSenseTable.InsertAsync(imageSenseModel);
}
