add streaming websocket server and client (#62)

sherpa-onnx/csrc/online-transducer-model-config.cc

@@ -5,8 +5,52 @@
 
 #include <sstream>
 
+#include "sherpa-onnx/csrc/file-utils.h"
+#include "sherpa-onnx/csrc/macros.h"
+
 namespace sherpa_onnx {
 
+void OnlineTransducerModelConfig::Register(ParseOptions *po) {
+  po->Register("encoder", &encoder_filename, "Path to encoder.onnx");
+  po->Register("decoder", &decoder_filename, "Path to decoder.onnx");
+  po->Register("joiner", &joiner_filename, "Path to joiner.onnx");
+  po->Register("tokens", &tokens, "Path to tokens.txt");
+  po->Register("num_threads", &num_threads,
+               "Number of threads to run the neural network");
+
+  po->Register("debug", &debug,
+               "true to print model information while loading it.");
+}
+
+bool OnlineTransducerModelConfig::Validate() const {
+  if (!FileExists(tokens)) {
+    SHERPA_ONNX_LOGE("%s does not exist", tokens.c_str());
+    return false;
+  }
+
+  if (!FileExists(encoder_filename)) {
+    SHERPA_ONNX_LOGE("%s does not exist", encoder_filename.c_str());
+    return false;
+  }
+
+  if (!FileExists(decoder_filename)) {
+    SHERPA_ONNX_LOGE("%s does not exist", decoder_filename.c_str());
+    return false;
+  }
+
+  if (!FileExists(joiner_filename)) {
+    SHERPA_ONNX_LOGE("%s does not exist", joiner_filename.c_str());
+    return false;
+  }
+
+  if (num_threads < 1) {
+    SHERPA_ONNX_LOGE("num_threads should be > 0. Given %d", num_threads);
+    return false;
+  }
+
+  return true;
+}
+
 std::string OnlineTransducerModelConfig::ToString() const {
   std::ostringstream os;