Update model.py

model.py

@@ -1378,6 +1378,25 @@ def _get_sherpa_onnx_nemo_transducer_models(
 
     return recognizer
 
+@lru_cache(maxsize=10)
+def _get_nemo_ctc_models(repo_id: str, decoding_method: str, num_active_paths: int):
+    nn_model = _get_nn_model_filename(
+        repo_id=repo_id,
+        filename="model.int8.onnx",
+        subfolder=".",
+    )
+    tokens = _get_token_filename(
+        repo_id=repo_id,
+        filename="tokens.txt",
+        subfolder=".",
+    )
+    recognizer = sherpa_onnx.OfflineRecognizer.from_nemo_ctc(
+        tokens=tokens,
+        model=nn_model,
+        num_threads=2,
+        language="es",  # Force Spanish
+    )
+    return recognizer
 
 @lru_cache(maxsize=10)
 def _get_sherpa_onnx_nemo_ctc_models(
@@ -2197,22 +2216,4 @@ language_to_models = {
     "Vietnamese": list(vietnamese_models.keys()),
 }
 
-@lru_cache(maxsize=10)
-def _get_nemo_ctc_models(repo_id: str, decoding_method: str, num_active_paths: int):
-    nn_model = _get_nn_model_filename(
-        repo_id=repo_id,
-        filename="model.int8.onnx",
-        subfolder=".",
-    )
-    tokens = _get_token_filename(
-        repo_id=repo_id,
-        filename="tokens.txt",
-        subfolder=".",
-    )
-    recognizer = sherpa_onnx.OfflineRecognizer.from_nemo_ctc(
-        tokens=tokens,
-        model=nn_model,
-        num_threads=2,
-        language="es",  # Force Spanish
-    )
-    return recognizer
+