Update iOS and Android demos to include the latest streaming zipformer (#189)

 cmake_minimum_required(VERSION 3.13 FATAL_ERROR)
 project(sherpa-onnx)
 
-set(SHERPA_ONNX_VERSION "1.4.5")
+set(SHERPA_ONNX_VERSION "1.4.6")
 
 # Disable warning about
 #

@@ -177,7 +177,7 @@ class MainActivity : AppCompatActivity() {
         // Please change getModelConfig() to add new models
         // See https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
         // for a list of available models
-        val type = 0
+        val type = 3
         println("Select model type ${type}")
         val config = OnlineRecognizerConfig(
             featConfig = getFeatureConfig(sampleRate = sampleRateInHz, featureDim = 80),

@@ -19,7 +19,7 @@ data class OnlineTransducerModelConfig(
     var decoder: String,
     var joiner: String,
     var tokens: String,
-    var numThreads: Int = 2,
+    var numThreads: Int = 1,
     var debug: Boolean = false,
 )
 
@@ -122,6 +122,9 @@ by following the code)
 
 2 - csukuangfj/sherpa-onnx-lstm-en-2023-02-17 (English)
     https://k2-fsa.github.io/sherpa/onnx/pretrained_models/lstm-transducer-models.html#csukuangfj-sherpa-onnx-lstm-en-2023-02-17-english
+
+3 - pkufool/icefall-asr-zipformer-streaming-wenetspeech-20230615
+    https://huggingface.co/pkufool/icefall-asr-zipformer-streaming-wenetspeech-20230615
  */
 fun getModelConfig(type: Int): OnlineTransducerModelConfig? {
     when (type) {
@@ -153,6 +156,26 @@ fun getModelConfig(type: Int): OnlineTransducerModelConfig? {
                 tokens = "$modelDir/tokens.txt",
             )
         }
+
+        3 -> {
+            val modelDir = "icefall-asr-zipformer-streaming-wenetspeech-20230615"
+            return OnlineTransducerModelConfig(
+                encoder = "$modelDir/exp/encoder-epoch-12-avg-4-chunk-16-left-128.int8.onnx",
+                decoder = "$modelDir/exp/decoder-epoch-12-avg-4-chunk-16-left-128.onnx",
+                joiner = "$modelDir/exp/joiner-epoch-12-avg-4-chunk-16-left-128.onnx",
+                tokens = "$modelDir/data/lang_char/tokens.txt",
+            )
+        }
+
+        4 -> {
+            val modelDir = "icefall-asr-zipformer-streaming-wenetspeech-20230615"
+            return OnlineTransducerModelConfig(
+                encoder = "$modelDir/exp/encoder-epoch-12-avg-4-chunk-16-left-128.onnx",
+                decoder = "$modelDir/exp/decoder-epoch-12-avg-4-chunk-16-left-128.onnx",
+                joiner = "$modelDir/exp/joiner-epoch-12-avg-4-chunk-16-left-128.onnx",
+                tokens = "$modelDir/data/lang_char/tokens.txt",
+            )
+        }
     }
     return null;
 }

@@ -74,6 +74,7 @@ cmake -DCMAKE_TOOLCHAIN_FILE="$ANDROID_NDK/build/cmake/android.toolchain.cmake"
     -DSHERPA_ONNX_ENABLE_CHECK=OFF \
     -DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
     -DSHERPA_ONNX_ENABLE_JNI=ON \
+    -DSHERPA_ONNX_ENABLE_C_API=OFF \
     -DCMAKE_INSTALL_PREFIX=./install \
     -DANDROID_ABI="arm64-v8a" \
     -DANDROID_PLATFORM=android-21 ..

@@ -74,6 +74,7 @@ cmake -DCMAKE_TOOLCHAIN_FILE="$ANDROID_NDK/build/cmake/android.toolchain.cmake"
     -DSHERPA_ONNX_ENABLE_CHECK=OFF \
     -DSHERPA_ONNX_ENABLE_PORTAUDIO=OFF \
     -DSHERPA_ONNX_ENABLE_JNI=ON \
+    -DSHERPA_ONNX_ENABLE_C_API=OFF \
     -DCMAKE_INSTALL_PREFIX=./install \
     -DANDROID_ABI="armeabi-v7a" -DANDROID_ARM_NEON=ON \
     -DANDROID_PLATFORM=android-21 ..

@@ -30,6 +30,51 @@ func getBilingualStreamZhEnZipformer20230220() -> SherpaOnnxOnlineTransducerMode
   )
 }
 
+func getZhZipformer20230615() -> SherpaOnnxOnlineTransducerModelConfig {
+  let encoder = getResource("encoder-epoch-12-avg-4-chunk-16-left-128", "onnx")
+  let decoder = getResource("decoder-epoch-12-avg-4-chunk-16-left-128", "onnx")
+  let joiner = getResource("joiner-epoch-12-avg-4-chunk-16-left-128", "onnx")
+  let tokens = getResource("tokens", "txt")
+
+  return sherpaOnnxOnlineTransducerModelConfig(
+    encoder: encoder,
+    decoder: decoder,
+    joiner: joiner,
+    tokens: tokens,
+    numThreads: 2
+  )
+}
+
+func getZhZipformer20230615Int8() -> SherpaOnnxOnlineTransducerModelConfig {
+  let encoder = getResource("encoder-epoch-12-avg-4-chunk-16-left-128.int8", "onnx")
+  let decoder = getResource("decoder-epoch-12-avg-4-chunk-16-left-128", "onnx")
+  let joiner = getResource("joiner-epoch-12-avg-4-chunk-16-left-128", "onnx")
+  let tokens = getResource("tokens", "txt")
+
+  return sherpaOnnxOnlineTransducerModelConfig(
+    encoder: encoder,
+    decoder: decoder,
+    joiner: joiner,
+    tokens: tokens,
+    numThreads: 2
+  )
+}
+
+func getEnZipformer20230626() -> SherpaOnnxOnlineTransducerModelConfig {
+  let encoder = getResource("encoder-epoch-99-avg-1-chunk-16-left-128", "onnx")
+  let decoder = getResource("decoder-epoch-99-avg-1-chunk-16-left-128", "onnx")
+  let joiner = getResource("joiner-epoch-99-avg-1-chunk-16-left-128", "onnx")
+  let tokens = getResource("tokens", "txt")
+
+  return sherpaOnnxOnlineTransducerModelConfig(
+    encoder: encoder,
+    decoder: decoder,
+    joiner: joiner,
+    tokens: tokens,
+    numThreads: 2
+  )
+}
+
 /// Please refer to
 /// https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html
 /// to add more models if you need

@@ -85,7 +85,9 @@ class ViewController: UIViewController {
         // You can also modify Model.swift to add new pre-trained models from
         // https://k2-fsa.github.io/sherpa/ncnn/pretrained_models/index.html
 
-        let modelConfig = getBilingualStreamZhEnZipformer20230220()
+        // let modelConfig = getBilingualStreamZhEnZipformer20230220()
+        // let modelConfig = getZhZipformer20230615()
+        let modelConfig = getEnZipformer20230626()
 
         let featConfig = sherpaOnnxFeatureConfig(
             sampleRate: 16000,