EngineX-Iluvatar/enginex-mr_series-sherpa-onnx
Archived
16
0
Fork 0
Code Issues Pull Requests Actions Projects Releases Wiki Activity

Fix #510 (#513)

Browse Source
This commit is contained in:
Fangjun Kuang
2024-01-04 12:32:19 +08:00
committed by GitHub
parent e215d0c39a
commit 547a22f7d9
1 changed files with 6 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
python-api-examples/non_streaming_server.py
View File

@@ -862,6 +862,7 @@ def create_recognizer(args) -> sherpa_onnx.OfflineRecognizer:
max_active_paths=args.max_active_paths,
hotwords_file=args.hotwords_file,
hotwords_score=args.hotwords_score,
provider=args.provider,
)
elif args.paraformer:
assert len(args.nemo_ctc) == 0, args.nemo_ctc
@@ -879,6 +880,7 @@ def create_recognizer(args) -> sherpa_onnx.OfflineRecognizer:
sample_rate=args.sample_rate,
feature_dim=args.feat_dim,
decoding_method=args.decoding_method,
provider=args.provider,
)
elif args.nemo_ctc:
assert len(args.wenet_ctc) == 0, args.wenet_ctc
@@ -895,6 +897,7 @@ def create_recognizer(args) -> sherpa_onnx.OfflineRecognizer:
sample_rate=args.sample_rate,
feature_dim=args.feat_dim,
decoding_method=args.decoding_method,
provider=args.provider,
)
elif args.wenet_ctc:
assert len(args.whisper_encoder) == 0, args.whisper_encoder
@@ -910,6 +913,7 @@ def create_recognizer(args) -> sherpa_onnx.OfflineRecognizer:
sample_rate=args.sample_rate,
feature_dim=args.feat_dim,
decoding_method=args.decoding_method,
provider=args.provider,
)
elif args.whisper_encoder:
assert len(args.tdnn_model) == 0, args.tdnn_model
@@ -925,6 +929,7 @@ def create_recognizer(args) -> sherpa_onnx.OfflineRecognizer:
language=args.whisper_language,
task=args.whisper_task,
tail_paddings=args.whisper_tail_paddings,
provider=args.provider,
)
elif args.tdnn_model:
assert_file_exists(args.tdnn_model)
@@ -936,6 +941,7 @@ def create_recognizer(args) -> sherpa_onnx.OfflineRecognizer:
feature_dim=args.feat_dim,
num_threads=args.num_threads,
decoding_method=args.decoding_method,
provider=args.provider,
)
else:
raise ValueError("Please specify at least one model")