Add alimeeting.

app.py

@@ -29,7 +29,7 @@ import torchaudio
 
 from model import get_pretrained_model, language_to_models, sample_rate
 
-languages = sorted(language_to_models.keys())
+languages = list(language_to_models.keys())
 
 
 def convert_to_wav(in_filename: str) -> str:

model.py

@@ -183,10 +183,32 @@ def _get_tal_csasr_pre_trained_model(repo_id: str):
     )
 
 
+@lru_cache(maxsize=10)
+def _get_alimeeting_pre_trained_model(repo_id: str):
+    assert repo_id in [
+        "luomingshuang/icefall_asr_alimeeting_pruned_transducer_stateless2",
+    ]
+
+    nn_model_filename = _get_nn_model_filename(
+        repo_id=repo_id,
+        filename="cpu_jit_torch_1.7.1.pt",
+    )
+    token_filename = _get_token_filename(repo_id=repo_id)
+
+    return OfflineAsr(
+        nn_model_filename=nn_model_filename,
+        bpe_model_filename=None,
+        token_filename=token_filename,
+        sample_rate=sample_rate,
+        device="cpu",
+    )
+
+
 chinese_models = {
     "yuekai/icefall-asr-aishell2-pruned-transducer-stateless5-A-2022-07-12": _get_aishell2_pretrained_model,  # noqa
     "yuekai/icefall-asr-aishell2-pruned-transducer-stateless5-B-2022-07-12": _get_aishell2_pretrained_model,  # noqa
     "luomingshuang/icefall_asr_wenetspeech_pruned_transducer_stateless2": _get_wenetspeech_pre_trained_model,  # noqa
+    "luomingshuang/icefall_asr_alimeeting_pruned_transducer_stateless2": _get_alimeeting_pre_trained_model,  # noqa
 }
 
 english_models = {
@@ -205,7 +227,7 @@ all_models = {
 }
 
 language_to_models = {
-    "Chinese": sorted(chinese_models.keys()),
-    "English": sorted(english_models.keys()),
-    "Chinese+English": sorted(chinese_english_mixed_models.keys()),
+    "Chinese": list(chinese_models.keys()),
+    "English": list(english_models.keys()),
+    "Chinese+English": list(chinese_english_mixed_models.keys()),
 }