update

examples/wenet/test.py

@@ -54,30 +54,30 @@ def main():
     print(model_filename)
 
     print("download tokens")
-    token_filename = huggingface_hub.hf_hub_download(
+    tokens_filename = huggingface_hub.hf_hub_download(
         repo_id=args.repo_id,
         filename=args.tokens_filename,
         subfolder=".",
         local_dir=model_dir.as_posix(),
     )
-    print(token_filename)
+    print(tokens_filename)
 
     feat_config = sherpa.FeatureConfig(normalize_samples=False)
-    feat_config.fbank_opts.frame_opts.samp_freq = sample_rate
+    feat_config.fbank_opts.frame_opts.samp_freq = 16000
     feat_config.fbank_opts.mel_opts.num_bins = 80
     feat_config.fbank_opts.frame_opts.dither = 0
 
     config = sherpa.OfflineRecognizerConfig(
-        nn_model=nn_model,
-        tokens=tokens,
+        nn_model=model_filename,
+        tokens=tokens_filename,
         use_gpu=False,
         feat_config=feat_config,
-        decoding_method=decoding_method,
-        num_active_paths=num_active_paths,
+        decoding_method="greedy_search",
+        num_active_paths=2,
     )
 
     recognizer = sherpa.OfflineRecognizer(config)
-
+    print(recognizer)
     return