firebaseRunML.java

 public void runModel(String absolutePath) {
        if (mInterpreter == null) {
            Log.e(TAG, "Image classifier has not been initialized; Skipped.");
            return;
        }

        float[][][][] imgData = cropImage(absolutePath);

        try {
            FirebaseModelInputs inputs = new FirebaseModelInputs.Builder().add(imgData).build();
            // Here's where the magic happens!!
            Log.d(TAG,"Here's where the magic happens!!");
            mInterpreter
                    .run(inputs, mDataOptions)
                    .addOnFailureListener(new OnFailureListener() {
                        @Override
                        public void onFailure(@NonNull Exception e) {
                            e.printStackTrace();
                            showToast("Error running model inference "+e.toString());
                            mlKitListener.machineLearningError(e);
                        }
                    })
                    .continueWith(
                            new Continuation<FirebaseModelOutputs, Boolean>() {
                                @Override
                                public Boolean then(Task<FirebaseModelOutputs> task) {
                                    float[][] result = task.getResult().<float[][]>getOutput(0);
                                    mlKitListener.machineLearningResult(result);
                                    showToast("- Class 1 - "+result[0][0]+" - Class 2 - "+result[0][1]);
                                    calculateMLSimpleResult(result);
                                    return true;
                                }
                            });
        } catch (FirebaseMLException e) {
            e.printStackTrace();
            showToast("Error running model inference");
        }

    }