Add Swift API for Moonshine models. (#1477)

swift-api-examples/SherpaOnnx.swift

@@ -357,6 +357,20 @@ func sherpaOnnxOfflineWhisperModelConfig(
   )
 }
 
+func sherpaOnnxOfflineMoonshineModelConfig(
+  preprocessor: String = "",
+  encoder: String = "",
+  uncachedDecoder: String = "",
+  cachedDecoder: String = ""
+) -> SherpaOnnxOfflineMoonshineModelConfig {
+  return SherpaOnnxOfflineMoonshineModelConfig(
+    preprocessor: toCPointer(preprocessor),
+    encoder: toCPointer(encoder),
+    uncached_decoder: toCPointer(uncachedDecoder),
+    cached_decoder: toCPointer(cachedDecoder)
+  )
+}
+
 func sherpaOnnxOfflineTdnnModelConfig(
   model: String = ""
 ) -> SherpaOnnxOfflineTdnnModelConfig {
@@ -401,7 +415,8 @@ func sherpaOnnxOfflineModelConfig(
   modelingUnit: String = "cjkchar",
   bpeVocab: String = "",
   teleSpeechCtc: String = "",
-  senseVoice: SherpaOnnxOfflineSenseVoiceModelConfig = sherpaOnnxOfflineSenseVoiceModelConfig()
+  senseVoice: SherpaOnnxOfflineSenseVoiceModelConfig = sherpaOnnxOfflineSenseVoiceModelConfig(),
+  moonshine: SherpaOnnxOfflineMoonshineModelConfig = sherpaOnnxOfflineMoonshineModelConfig()
 ) -> SherpaOnnxOfflineModelConfig {
   return SherpaOnnxOfflineModelConfig(
     transducer: transducer,
@@ -417,7 +432,8 @@ func sherpaOnnxOfflineModelConfig(
     modeling_unit: toCPointer(modelingUnit),
     bpe_vocab: toCPointer(bpeVocab),
     telespeech_ctc: toCPointer(teleSpeechCtc),
-    sense_voice: senseVoice
+    sense_voice: senseVoice,
+    moonshine: moonshine
   )
 }
 

swift-api-examples/decode-file-non-streaming.swift

@@ -18,6 +18,7 @@ func run() {
   var modelType = "whisper"
   // modelType = "paraformer"
   // modelType = "sense_voice"
+  // modelType = "moonshine"
 
   if modelType == "whisper" {
     let encoder = "./sherpa-onnx-whisper-tiny.en/tiny.en-encoder.int8.onnx"
@@ -61,6 +62,24 @@ func run() {
       debug: 0,
       senseVoice: senseVoiceConfig
     )
+  } else if modelType == "moonshine" {
+    let preprocessor = "./sherpa-onnx-moonshine-tiny-en-int8/preprocess.onnx"
+    let encoder = "./sherpa-onnx-moonshine-tiny-en-int8/encode.int8.onnx"
+    let uncachedDecoder = "./sherpa-onnx-moonshine-tiny-en-int8/uncached_decode.int8.onnx"
+    let cachedDecoder = "./sherpa-onnx-moonshine-tiny-en-int8/cached_decode.int8.onnx"
+    let tokens = "./sherpa-onnx-moonshine-tiny-en-int8/tokens.txt"
+    let moonshine = sherpaOnnxOfflineMoonshineModelConfig(
+      preprocessor: preprocessor,
+      encoder: encoder,
+      uncachedDecoder: uncachedDecoder,
+      cachedDecoder: cachedDecoder
+    )
+
+    modelConfig = sherpaOnnxOfflineModelConfig(
+      tokens: tokens,
+      debug: 0,
+      moonshine: moonshine
+    )
   } else {
     print("Please specify a supported modelType \(modelType)")
     return
@@ -80,6 +99,8 @@ func run() {
   var filePath = "./sherpa-onnx-whisper-tiny.en/test_wavs/0.wav"
   if modelType == "sense_voice" {
     filePath = "./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/test_wavs/zh.wav"
+  } else if modelType == "moonshine" {
+    filePath = "./sherpa-onnx-moonshine-tiny-en-int8/test_wavs/0.wav"
   }
   let fileURL: NSURL = NSURL(fileURLWithPath: filePath)
   let audioFile = try! AVAudioFile(forReading: fileURL as URL)