update

main.py

@@ -64,6 +64,7 @@ def build_html_output(s: str, style: str = "result_item_success"):
 
 
 def md5_encrypt(text: str) -> str:
+    """output str length: 32. """
     md = hashlib.md5()
 
     md.update(text.encode())

toolbox/k2_sherpa/nn_models.py

@@ -112,6 +112,33 @@ model_map = {
             "normalize_samples": True,
             "loader": "load_sherpa_offline_recognizer",
         },
+        {
+            "repo_id": "yuekai/icefall-asr-aishell2-pruned-transducer-stateless5-A-2022-07-12",
+            "nn_model_file": "cpu_jit.pt",
+            "nn_model_file_sub_folder": "exp",
+            "tokens_file": "tokens.txt",
+            "tokens_file_sub_folder": "data/lang_char",
+            "normalize_samples": True,
+            "loader": "load_sherpa_offline_recognizer",
+        },
+        {
+            "repo_id": "yuekai/icefall-asr-aishell2-pruned-transducer-stateless5-B-2022-07-12",
+            "nn_model_file": "cpu_jit.pt",
+            "nn_model_file_sub_folder": "exp",
+            "tokens_file": "tokens.txt",
+            "tokens_file_sub_folder": "data/lang_char",
+            "normalize_samples": True,
+            "loader": "load_sherpa_offline_recognizer",
+        },
+        {
+            "repo_id": "luomingshuang/icefall_asr_aidatatang-200zh_pruned_transducer_stateless2",
+            "nn_model_file": "cpu_jit_torch.1.7.1.pt",
+            "nn_model_file_sub_folder": "exp",
+            "tokens_file": "tokens.txt",
+            "tokens_file_sub_folder": "data/lang_char",
+            "normalize_samples": True,
+            "loader": "load_sherpa_offline_recognizer",
+        },
         {
             "repo_id": "luomingshuang/icefall_asr_alimeeting_pruned_transducer_stateless2",
             "nn_model_file": "cpu_jit_torch_1.7.1.pt",