async Task MakePredictionRequest(MediaFile file)
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Prediction-Key", "e9ac2089340e4727b4a635c341a3773d");
string url = "https://southcentralus.api.cognitive.microsoft.com/customvision/v1.0/Prediction/405e7e38-a4f8-4b14-ac07-ed869c97e775/image?iterationId=f9deb338-bd4b-431b-83e7-4eee9ef4a79e";
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 Probability = from p in rss["Predictions"] select(string) p["Probability"];
var Tag = from p in rss["Predictions"] select(string) p["Tag"];
string newtext = string.Empty;
foreach (var item in Tag)
{
newtext += item + "\n";
}
string firstline = newtext.Substring(0, newtext.IndexOf(Environment.NewLine));
TagLabel.Text = firstline;
celebName model = new celebName()
{
Name = (string)TagLabel.Text,
};
await AzureManager.AzureManagerInstance.PostInfo(model);
}
//Get rid of file once we have finished using it
file.Dispose();
}
}
public async Task PostInfo(celebName celebrity)
{
await this.celebTable.InsertAsync(celebrity);
}
