'update20241203' (#1589)

add '--modeling-unit' and "--bpe-vocab" to /sherpa-onnx/python-api-examples/streaming_server.py make it specifiable.

@@ -229,6 +229,28 @@ def add_hotwords_args(parser: argparse.ArgumentParser):
         --hotwords-file is given.
         --hotwords-file is given.
         """,
         """,
     )
     )
+    parser.add_argument(
+        "--modeling-unit",
+        type=str,
+        default='cjkchar',
+        help="""
+        The modeling unit of the used model. Current supported units are:
+        - cjkchar(for Chinese)
+        - bpe(for English like languages)
+        - cjkchar+bpe(for multilingual models)
+        """,
+    )
+    parser.add_argument(
+        "--bpe-vocab",
+        type=str,
+        default='',
+        help="""
+        The bpe vocabulary generated by sentencepiece toolkit. 
+        It is only used when modeling-unit is bpe or cjkchar+bpe.
+        if you can’t find bpe.vocab in the model directory, please run:
+        python script/export_bpe_vocab.py --bpe-model exp/bpe.model
+        """,
+    )
 
 
 
 
 def add_modified_beam_search_args(parser: argparse.ArgumentParser):
 def add_modified_beam_search_args(parser: argparse.ArgumentParser):
@@ -409,6 +431,8 @@ def create_recognizer(args) -> sherpa_onnx.OnlineRecognizer:
             rule2_min_trailing_silence=args.rule2_min_trailing_silence,
             rule2_min_trailing_silence=args.rule2_min_trailing_silence,
             rule3_min_utterance_length=args.rule3_min_utterance_length,
             rule3_min_utterance_length=args.rule3_min_utterance_length,
             provider=args.provider,
             provider=args.provider,
+            modeling_unit=args.modeling_unit,
+            bpe_vocab=args.bpe_vocab
         )
         )
     elif args.paraformer_encoder:
     elif args.paraformer_encoder:
         recognizer = sherpa_onnx.OnlineRecognizer.from_paraformer(
         recognizer = sherpa_onnx.OnlineRecognizer.from_paraformer(