Using a simple speech recognition model in iOS with Swift

We created a Swift-based iOS app that uses the TensorFlow pod in Chapter 2, Classifying Images with Transfer Learning. Let's now create a new Swift app that uses the TensorFlow iOS libraries we manually built in the last section and use the speech commands model in our Swift app:

1. Create a new Single View iOS project from Xcode, and set up the project in the same way as steps 1 and 2 in the previous section, except set the Language as Swift.
2. Select Xcode File | New | File ... and select Objective-C File. Enter the name RunInference. You'll see a message box asking you "Would you like to configure an Objective-C bridging header?" Click the Create Bridging Header. Rename the file RunInference.m to RunInfence.mm as we'll mix our C, C++, and Objective-C code to do post-recording audio processing and recognition. We're still using Objective-C in the Swift app because to call the TensorFlow C++ code from Swift, we need to have an Objective...