Update model.py

model.py

@@ -2071,6 +2071,7 @@ multi_lingual_models = {
     "csukuangfj/sherpa-onnx-dolphin-base-ctc-multi-lang-2025-04-02": _get_dolphin_ctc_models,
     "csukuangfj/sherpa-onnx-dolphin-small-ctc-multi-lang-2025-04-02": _get_dolphin_ctc_models,
     "csukuangfj/sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8": _get_dolphin_ctc_models
+    "csukuangfj/sherpa-onnx-nemo-canary-180m-flash-en-es-de-fr-int8": _get_nemo_ctc_models,
 }
 
 chinese_english_mixed_models = {
@@ -2195,3 +2196,23 @@ language_to_models = {
     "Tibetan": list(tibetan_models.keys()),
     "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