Support multilingual whisper models (#274)

sherpa-onnx/csrc/offline-whisper-model-config.cc

@@ -17,6 +17,21 @@ void OfflineWhisperModelConfig::Register(ParseOptions *po) {
   po->Register("whisper-decoder", &decoder,
                "Path to onnx decoder of whisper, e.g., tiny-decoder.onnx, "
                "medium.en-decoder.onnx.");
+
+  po->Register(
+      "whisper-language", &language,
+      "The spoke language in the input audio file. Example values: "
+      "en, de, fr, zh, jp. If it is not given for a multilingual model, we will"
+      " infer the language from the input audio file. "
+      "Please refer to "
+      "https://github.com/openai/whisper/blob/main/whisper/tokenizer.py#L10"
+      " for valid values. Note that for non-multilingual models, it supports "
+      "only 'en'");
+
+  po->Register("whisper-task", &task,
+               "Valid values: transcribe, translate. "
+               "Note that for non-multilingual models, it supports "
+               "only 'transcribe'");
 }
 
 bool OfflineWhisperModelConfig::Validate() const {
@@ -30,6 +45,14 @@ bool OfflineWhisperModelConfig::Validate() const {
     return false;
   }
 
+  if (task != "translate" && task != "transcribe") {
+    SHERPA_ONNX_LOGE(
+        "--whisper-task supports only translate and transcribe. Given: %s",
+        task.c_str());
+
+    return false;
+  }
+
   return true;
 }
 
@@ -38,7 +61,9 @@ std::string OfflineWhisperModelConfig::ToString() const {
 
   os << "OfflineWhisperModelConfig(";
   os << "encoder=\"" << encoder << "\", ";
-  os << "decoder=\"" << decoder << "\")";
+  os << "decoder=\"" << decoder << "\", ";
+  os << "language=\"" << language << "\", ";
+  os << "task=\"" << task << "\")";
 
   return os.str();
 }