Update sherpa-onnx

model.py

@@ -272,11 +272,15 @@ def _get_aishell2_pretrained_model(
 
     return recognizer
 
+
 @lru_cache(maxsize=10)
 def _get_russian_pre_trained_model(
     repo_id: str, decoding_method: str, num_active_paths: int
 ) -> sherpa_onnx.OfflineRecognizer:
-    assert repo_id in ("alphacep/vosk-model-ru", "alphacep/vosk-model-small-ru"), repo_id
+    assert repo_id in (
+        "alphacep/vosk-model-ru",
+        "alphacep/vosk-model-small-ru",
+    ), repo_id
 
     if repo_id == "alphacep/vosk-model-ru":
         model_dir = "am-onnx"
@@ -317,7 +321,6 @@ def _get_russian_pre_trained_model(
     return recognizer
 
 
-
 @lru_cache(maxsize=10)
 def _get_whisper_model(
     repo_id: str, decoding_method: str, num_active_paths: int
@@ -812,7 +815,7 @@ def _get_french_pre_trained_model(
 
     tokens = _get_token_filename(repo_id=repo_id, subfolder=".")
 
-    recognizer = sherpa_onnx.OnlineRecognizer(
+    recognizer = sherpa_onnx.OnlineRecognizer.from_transducer(
         tokens=tokens,
         encoder=encoder_model,
         decoder=decoder_model,

requirements.txt

@@ -9,4 +9,4 @@ sentencepiece>=0.1.96
 numpy
 
 huggingface_hub
-sherpa-onnx
+sherpa-onnx>=1.7.0