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# Append the API to use for this use case
list(APPEND ${use_case}_API_LIST "ad")

set_input_file_path_user_option(".wav" ${use_case})

USER_OPTION(${use_case}_AUDIO_RATE "Specify the target sampling rate. Default is 16000."
    16000
    STRING)

USER_OPTION(${use_case}_AUDIO_MONO "Specify if the audio needs to be converted to mono. Default is ON."
    ON
    BOOL)

USER_OPTION(${use_case}_AUDIO_OFFSET "Specify the offset to start reading after this time (in seconds). Default is 0."
    0
    STRING)

USER_OPTION(${use_case}_AUDIO_DURATION "Specify the audio duration to load (in seconds). If set to 0 the entire audio will be processed."
    0
    STRING)

USER_OPTION(${use_case}_AUDIO_RES_TYPE "Specify re-sampling algorithm to use. By default is 'kaiser_best'."
    kaiser_best
    STRING)

USER_OPTION(${use_case}_AUDIO_MIN_SAMPLES "Specify the minimum number of samples to use. By default is amount needed to do one inference,
                                           if the audio is shorter then it will be automatically padded."
    33280
    STRING)

USER_OPTION(${use_case}_MODEL_SCORE_THRESHOLD "Specify the score threshold for a result to be deemed anomalous."
    -0.8
    STRING)

generate_audio_code(${${use_case}_FILE_PATH} ${SRC_GEN_DIR} ${INC_GEN_DIR}
        ${${use_case}_AUDIO_RATE}
        ${${use_case}_AUDIO_MONO}
        ${${use_case}_AUDIO_OFFSET}
        ${${use_case}_AUDIO_DURATION}
        ${${use_case}_AUDIO_RES_TYPE}
        ${${use_case}_AUDIO_MIN_SAMPLES})

USER_OPTION(${use_case}_ACTIVATION_BUF_SZ "Activation buffer size for the chosen model"
        0x00200000
        STRING)

if (ETHOS_U_NPU_ENABLED)
    set(DEFAULT_MODEL_PATH      ${DEFAULT_MODEL_DIR}/ad_medium_int8_vela_${ETHOS_U_NPU_CONFIG_ID}.tflite)
else()
    set(DEFAULT_MODEL_PATH      ${DEFAULT_MODEL_DIR}/ad_medium_int8.tflite)
endif()

set(EXTRA_MODEL_CODE
    "/* Model parameters for ${use_case} */"
    "extern const int       g_FrameLength = 1024"
    "extern const int       g_FrameStride = 512"
    "extern const float     g_ScoreThreshold = ${${use_case}_MODEL_SCORE_THRESHOLD}"
    "extern const float     g_TrainingMean = -30"
    )

USER_OPTION(${use_case}_MODEL_TFLITE_PATH "NN models file to be used in the evaluation application. Model files must be in tflite format."
        ${DEFAULT_MODEL_PATH}
        FILEPATH)

# Generate model file
generate_tflite_code(
        MODEL_PATH ${${use_case}_MODEL_TFLITE_PATH}
        DESTINATION ${SRC_GEN_DIR}
        EXPRESSIONS ${EXTRA_MODEL_CODE}
        NAMESPACE   "arm" "app" "ad")