Add Swift API for spoken language identification. (#696)

swift-api-examples/spoken-language-identification.swift

@@ -0,0 +1,57 @@
+import AVFoundation
+
+extension AudioBuffer {
+  func array() -> [Float] {
+    return Array(UnsafeBufferPointer(self))
+  }
+}
+
+extension AVAudioPCMBuffer {
+  func array() -> [Float] {
+    return self.audioBufferList.pointee.mBuffers.array()
+  }
+}
+
+func run() {
+  let encoder = "./sherpa-onnx-whisper-tiny/tiny-encoder.int8.onnx"
+  let decoder = "./sherpa-onnx-whisper-tiny/tiny-decoder.int8.onnx"
+
+  let whisperConfig = sherpaOnnxSpokenLanguageIdentificationWhisperConfig(
+    encoder: encoder,
+    decoder: decoder
+  )
+
+  var config = sherpaOnnxSpokenLanguageIdentificationConfig(
+    whisper: whisperConfig,
+    numThreads: 1,
+    debug: 1,
+    provider: "cpu"
+  )
+  let filePath = "./sherpa-onnx-whisper-tiny/test_wavs/0.wav"
+
+  let slid = SherpaOnnxSpokenLanguageIdentificationWrapper(config: &config)
+
+  let fileURL: NSURL = NSURL(fileURLWithPath: filePath)
+  let audioFile = try! AVAudioFile(forReading: fileURL as URL)
+
+  let audioFormat = audioFile.processingFormat
+  assert(audioFormat.sampleRate == 16000)
+  assert(audioFormat.channelCount == 1)
+  assert(audioFormat.commonFormat == AVAudioCommonFormat.pcmFormatFloat32)
+
+  let audioFrameCount = UInt32(audioFile.length)
+  let audioFileBuffer = AVAudioPCMBuffer(pcmFormat: audioFormat, frameCapacity: audioFrameCount)
+
+  try! audioFile.read(into: audioFileBuffer!)
+  let array: [Float]! = audioFileBuffer?.array()
+  let result = slid.decode(samples: array)
+
+  print("\nDetectedllanguage is:\n\(result.lang)")
+}
+
+@main
+struct App {
+  static func main() {
+    run()
+  }
+}