update java for paraformer (#276)

@@ -218,14 +218,15 @@ public class AsrWebsocketServer extends WebSocketServer {
 
 
     String soPath = args[0];
     String soPath = args[0];
     String cfgPath = args[1];
     String cfgPath = args[1];
-
+ 
     OnlineRecognizer.setSoPath(soPath);
     OnlineRecognizer.setSoPath(soPath);
-
+    logger.info("readProperties");
     Map<String, String> cfgMap = AsrWebsocketServer.readProperties(cfgPath);
     Map<String, String> cfgMap = AsrWebsocketServer.readProperties(cfgPath);
     int port = Integer.valueOf(cfgMap.get("port"));
     int port = Integer.valueOf(cfgMap.get("port"));
 
 
     int connectionThreadNum = Integer.valueOf(cfgMap.get("connection_thread_num"));
     int connectionThreadNum = Integer.valueOf(cfgMap.get("connection_thread_num"));
     AsrWebsocketServer s = new AsrWebsocketServer(port, connectionThreadNum);
     AsrWebsocketServer s = new AsrWebsocketServer(port, connectionThreadNum);
+    logger.info("initModelWithCfg");
     s.initModelWithCfg(cfgMap, cfgPath);
     s.initModelWithCfg(cfgMap, cfgPath);
     logger.info("Server started on port: " + s.getPort());
     logger.info("Server started on port: " + s.getPort());
     s.start();
     s.start();

+/*
+ * // Copyright 2022-2023 by zhaoming
+ */
+
+package com.k2fsa.sherpa.onnx;
+
+public class OnlineModelConfig {
+  private final OnlineParaformerModelConfig paraformer;
+  private final OnlineTransducerModelConfig transducer;
+  private final String tokens;
+  private final int numThreads;
+  private final boolean debug;
+  private final String provider = "cpu";
+  private String modelType = "";
+
+  public OnlineModelConfig(
+      String tokens,
+      int numThreads,
+      boolean debug,
+      String modelType,
+      OnlineParaformerModelConfig paraformer,
+      OnlineTransducerModelConfig transducer) {
+
+    this.tokens = tokens;
+    this.numThreads = numThreads;
+    this.debug = debug;
+    this.modelType = modelType;
+    this.paraformer = paraformer;
+    this.transducer = transducer;
+  }
+
+  public OnlineParaformerModelConfig getParaformer() {
+    return paraformer;
+  }
+
+  public OnlineTransducerModelConfig getTransducer() {
+    return transducer;
+  }
+
+  public String getTokens() {
+    return tokens;
+  }
+
+  public int getNumThreads() {
+    return numThreads;
+  }
+
+  public boolean getDebug() {
+    return debug;
+  }
+}

+/*
+ * // Copyright 2022-2023 by zhaoming
+ */
+
+package com.k2fsa.sherpa.onnx;
+
+public class OnlineParaformerModelConfig {
+  private final String encoder;
+  private final String decoder;
+
+  public OnlineParaformerModelConfig(String encoder, String decoder) {
+    this.encoder = encoder;
+    this.decoder = decoder;
+  }
+
+  public String getEncoder() {
+    return encoder;
+  }
+
+  public String getDecoder() {
+    return decoder;
+  }
+}

@@ -56,15 +56,21 @@ public class OnlineRecognizer {
           new EndpointRule(
           new EndpointRule(
               false, 0.0F, Float.parseFloat(proMap.get("rule3_min_utterance_length").trim()));
               false, 0.0F, Float.parseFloat(proMap.get("rule3_min_utterance_length").trim()));
       EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
       EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
-      OnlineTransducerModelConfig modelCfg =
+
+      OnlineParaformerModelConfig modelParaCfg = new OnlineParaformerModelConfig("", "");
+      OnlineTransducerModelConfig modelTranCfg =
           new OnlineTransducerModelConfig(
           new OnlineTransducerModelConfig(
               proMap.get("encoder").trim(),
               proMap.get("encoder").trim(),
               proMap.get("decoder").trim(),
               proMap.get("decoder").trim(),
-              proMap.get("joiner").trim(),
+              proMap.get("joiner").trim());
+      OnlineModelConfig modelCfg =
+          new OnlineModelConfig(
               proMap.get("tokens").trim(),
               proMap.get("tokens").trim(),
               Integer.parseInt(proMap.get("num_threads").trim()),
               Integer.parseInt(proMap.get("num_threads").trim()),
               false,
               false,
-              proMap.get("model_type").trim());
+              proMap.get("model_type").trim(),
+              modelParaCfg,
+              modelTranCfg);
       FeatureConfig featConfig =
       FeatureConfig featConfig =
           new FeatureConfig(sampleRate, Integer.parseInt(proMap.get("feature_dim").trim()));
           new FeatureConfig(sampleRate, Integer.parseInt(proMap.get("feature_dim").trim()));
       OnlineLMConfig onlineLmConfig =
       OnlineLMConfig onlineLmConfig =
@@ -104,15 +110,23 @@ public class OnlineRecognizer {
           new EndpointRule(
           new EndpointRule(
               false, 0.0F, Float.parseFloat(proMap.get("rule3_min_utterance_length").trim()));
               false, 0.0F, Float.parseFloat(proMap.get("rule3_min_utterance_length").trim()));
       EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
       EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
-      OnlineTransducerModelConfig modelCfg =
+      OnlineParaformerModelConfig modelParaCfg =
+          new OnlineParaformerModelConfig(
+              proMap.get("encoder").trim(), proMap.get("decoder").trim());
+      OnlineTransducerModelConfig modelTranCfg =
           new OnlineTransducerModelConfig(
           new OnlineTransducerModelConfig(
               proMap.get("encoder").trim(),
               proMap.get("encoder").trim(),
               proMap.get("decoder").trim(),
               proMap.get("decoder").trim(),
-              proMap.get("joiner").trim(),
+              proMap.get("joiner").trim());
+
+      OnlineModelConfig modelCfg =
+          new OnlineModelConfig(
               proMap.get("tokens").trim(),
               proMap.get("tokens").trim(),
               Integer.parseInt(proMap.get("num_threads").trim()),
               Integer.parseInt(proMap.get("num_threads").trim()),
               false,
               false,
-              proMap.get("model_type").trim());
+              proMap.get("model_type").trim(),
+              modelParaCfg,
+              modelTranCfg);
       FeatureConfig featConfig =
       FeatureConfig featConfig =
           new FeatureConfig(sampleRate, Integer.parseInt(proMap.get("feature_dim").trim()));
           new FeatureConfig(sampleRate, Integer.parseInt(proMap.get("feature_dim").trim()));
 
 
@@ -160,9 +174,11 @@ public class OnlineRecognizer {
     EndpointRule rule2 = new EndpointRule(true, rule2MinTrailingSilence, 0.0F);
     EndpointRule rule2 = new EndpointRule(true, rule2MinTrailingSilence, 0.0F);
     EndpointRule rule3 = new EndpointRule(false, 0.0F, rule3MinUtteranceLength);
     EndpointRule rule3 = new EndpointRule(false, 0.0F, rule3MinUtteranceLength);
     EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
     EndpointConfig endCfg = new EndpointConfig(rule1, rule2, rule3);
-    OnlineTransducerModelConfig modelCfg =
-        new OnlineTransducerModelConfig(
-            encoder, decoder, joiner, tokens, numThreads, false, modelType);
+    OnlineParaformerModelConfig modelParaCfg = new OnlineParaformerModelConfig(encoder, decoder);
+    OnlineTransducerModelConfig modelTranCfg =
+        new OnlineTransducerModelConfig(encoder, decoder, joiner);
+    OnlineModelConfig modelCfg =
+        new OnlineModelConfig(tokens, numThreads, false, modelType, modelParaCfg, modelTranCfg);
     FeatureConfig featConfig = new FeatureConfig(sampleRate, featureDim);
     FeatureConfig featConfig = new FeatureConfig(sampleRate, featureDim);
     OnlineLMConfig onlineLmConfig = new OnlineLMConfig(lm_model, lm_scale);
     OnlineLMConfig onlineLmConfig = new OnlineLMConfig(lm_model, lm_scale);
     OnlineRecognizerConfig rcgCfg =
     OnlineRecognizerConfig rcgCfg =
@@ -277,6 +293,7 @@ public class OnlineRecognizer {
 
 
     System.out.println("so lib path=" + soPath + "\n");
     System.out.println("so lib path=" + soPath + "\n");
     System.load(soPath.trim());
     System.load(soPath.trim());
+    System.out.println("load so lib succeed\n");
   }
   }
 
 
   public static void setSoPath(String soPath) {
   public static void setSoPath(String soPath) {

@@ -6,26 +6,25 @@ package com.k2fsa.sherpa.onnx;
 
 
 public class OnlineRecognizerConfig {
 public class OnlineRecognizerConfig {
   private final FeatureConfig featConfig;
   private final FeatureConfig featConfig;
-  private final OnlineTransducerModelConfig modelConfig;
+  private final OnlineModelConfig modelConfig;
   private final EndpointConfig endpointConfig;
   private final EndpointConfig endpointConfig;
   private final OnlineLMConfig lmConfig;
   private final OnlineLMConfig lmConfig;
   private final boolean enableEndpoint;
   private final boolean enableEndpoint;
   private final String decodingMethod;
   private final String decodingMethod;
   private final int maxActivePaths;
   private final int maxActivePaths;
-  
 
 
   public OnlineRecognizerConfig(
   public OnlineRecognizerConfig(
       FeatureConfig featConfig,
       FeatureConfig featConfig,
-      OnlineTransducerModelConfig modelConfig,
+      OnlineModelConfig modelConfig,
       EndpointConfig endpointConfig,
       EndpointConfig endpointConfig,
-	  OnlineLMConfig lmConfig,
+      OnlineLMConfig lmConfig,
       boolean enableEndpoint,
       boolean enableEndpoint,
       String decodingMethod,
       String decodingMethod,
       int maxActivePaths) {
       int maxActivePaths) {
     this.featConfig = featConfig;
     this.featConfig = featConfig;
     this.modelConfig = modelConfig;
     this.modelConfig = modelConfig;
     this.endpointConfig = endpointConfig;
     this.endpointConfig = endpointConfig;
-	this.lmConfig = lmConfig;
+    this.lmConfig = lmConfig;
     this.enableEndpoint = enableEndpoint;
     this.enableEndpoint = enableEndpoint;
     this.decodingMethod = decodingMethod;
     this.decodingMethod = decodingMethod;
     this.maxActivePaths = maxActivePaths;
     this.maxActivePaths = maxActivePaths;
@@ -39,7 +38,7 @@ public class OnlineRecognizerConfig {
     return featConfig;
     return featConfig;
   }
   }
 
 
-  public OnlineTransducerModelConfig getModelConfig() {
+  public OnlineModelConfig getModelConfig() {
     return modelConfig;
     return modelConfig;
   }
   }
 
 

@@ -8,27 +8,11 @@ public class OnlineTransducerModelConfig {
   private final String encoder;
   private final String encoder;
   private final String decoder;
   private final String decoder;
   private final String joiner;
   private final String joiner;
-  private final String tokens;
-  private final int numThreads;
-  private final boolean debug;
-  private final String provider = "cpu";
-  private String modelType = "";
 
 
-  public OnlineTransducerModelConfig(
-      String encoder,
-      String decoder,
-      String joiner,
-      String tokens,
-      int numThreads,
-      boolean debug,
-      String modelType) {
+  public OnlineTransducerModelConfig(String encoder, String decoder, String joiner) {
     this.encoder = encoder;
     this.encoder = encoder;
     this.decoder = decoder;
     this.decoder = decoder;
     this.joiner = joiner;
     this.joiner = joiner;
-    this.tokens = tokens;
-    this.numThreads = numThreads;
-    this.debug = debug;
-    this.modelType = modelType;
   }
   }
 
 
   public String getEncoder() {
   public String getEncoder() {
@@ -42,16 +26,4 @@ public class OnlineTransducerModelConfig {
   public String getJoiner() {
   public String getJoiner() {
     return joiner;
     return joiner;
   }
   }
-
-  public String getTokens() {
-    return tokens;
-  }
-
-  public int getNumThreads() {
-    return numThreads;
-  }
-
-  public boolean getDebug() {
-    return debug;
-  }
 }
 }