LoadModelAsync method for the Windows Machine Learning, EmotionRecognition sample.

EmotionRecognizer.part2.cs

public class EmotionRecognizer
{
    // .... 

    public async Task LoadModelAsync()
    {
        try
        {
            // Load Model
            var modelFile = await StorageFile.GetFileFromApplicationUriAsync(
                new Uri($"ms-appx:///Assets/FERPlus.onnx"));
            model = await LearningModelPreview.LoadModelFromStorageFileAsync(modelFile);

            // Retrieve model input and output variable descriptions (we already know
            // the model takes an image in and outputs a tensor)
            var inputFeatures = model.Description.InputFeatures.ToList();
            var outputFeatures = model.Description.OutputFeatures.ToList();

            inputImageDescriptor =
                inputFeatures.FirstOrDefault(
                   feature => feature.ModelFeatureKind == LearningModelFeatureKindPreview.Image)
                as ImageVariableDescriptorPreview;

            outputTensorDescriptor =
                outputFeatures.FirstOrDefault(
                   feature => feature.ModelFeatureKind == LearningModelFeatureKindPreview.Tensor)
                as TensorVariableDescriptorPreview;
        }
        catch (Exception)
        {
            model = null;
            throw;
        }
    }
}