add a new model

model.py

@@ -2083,10 +2083,17 @@ def _get_funasr_nano(
 
     if repo_id == "csukuangfj/sherpa-onnx-funasr-nano-2025-12-30":
         local_dir = snapshot_download(repo_id)
+        encoder_adaptor = f"{local_dir}/encoder_adaptor.onnx"
+        llm = f"{local_dir}/llm.fp32.onnx"
+        embedding = f"{local_dir}/embedding.onnx"
+        tokenizer = f"{local_dir}/Qwen3-0.6B"
     else:
         local_dir = "sherpa-onnx-funasr-nano-int8-2025-12-30"
 
         encoder_adaptor = f"{local_dir}/encoder_adaptor.int8.onnx"
+        llm = f"{local_dir}/llm.int8.onnx"
+        embedding = f"{local_dir}/embedding.int8.onnx"
+        tokenizer = f"{local_dir}/Qwen3-0.6B"
         if not Path(encoder_adaptor).is_file():
             os.system(
                 f"""
@@ -2105,11 +2112,6 @@ def _get_funasr_nano(
 
         os.system(f"ls -lh {local_dir}")
 
-    encoder_adaptor = f"{local_dir}/encoder_adaptor.int8.onnx"
-    llm = f"{local_dir}/llm.int8.onnx"
-    embedding = f"{local_dir}/embedding.int8.onnx"
-    tokenizer = f"{local_dir}/Qwen3-0.6B"
-
     print("local_dir", local_dir)
     print("encoder_adaptor", encoder_adaptor)
     print("llm", llm)