adding a python api for offline decode (#110)
This commit is contained in:
@@ -4,6 +4,11 @@ pybind11_add_module(_sherpa_onnx
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display.cc
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endpoint.cc
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features.cc
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offline-model-config.cc
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offline-paraformer-model-config.cc
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offline-recognizer.cc
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offline-stream.cc
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offline-transducer-model-config.cc
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online-recognizer.cc
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online-stream.cc
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online-transducer-model-config.cc
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36
sherpa-onnx/python/csrc/offline-model-config.cc
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36
sherpa-onnx/python/csrc/offline-model-config.cc
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@@ -0,0 +1,36 @@
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// sherpa-onnx/python/csrc/offline-model-config.cc
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//
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// Copyright (c) 2023 by manyeyes
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#include "sherpa-onnx/python/csrc/offline-model-config.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
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#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
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#include "sherpa-onnx/csrc/offline-model-config.h"
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namespace sherpa_onnx {
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void PybindOfflineModelConfig(py::module *m) {
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PybindOfflineTransducerModelConfig(m);
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PybindOfflineParaformerModelConfig(m);
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using PyClass = OfflineModelConfig;
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py::class_<PyClass>(*m, "OfflineModelConfig")
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.def(py::init<OfflineTransducerModelConfig &,
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OfflineParaformerModelConfig &,
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const std::string &, int32_t, bool>(),
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py::arg("transducer"), py::arg("paraformer"), py::arg("tokens"),
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py::arg("num_threads"), py::arg("debug") = false)
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.def_readwrite("transducer", &PyClass::transducer)
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.def_readwrite("paraformer", &PyClass::paraformer)
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.def_readwrite("tokens", &PyClass::tokens)
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.def_readwrite("num_threads", &PyClass::num_threads)
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.def_readwrite("debug", &PyClass::debug)
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.def("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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16
sherpa-onnx/python/csrc/offline-model-config.h
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16
sherpa-onnx/python/csrc/offline-model-config.h
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@@ -0,0 +1,16 @@
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// sherpa-onnx/python/csrc/offline-model-config.h
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//
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// Copyright (c) 2023 by manyeyes
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#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_MODEL_CONFIG_H_
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#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_MODEL_CONFIG_H_
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#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
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namespace sherpa_onnx {
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void PybindOfflineModelConfig(py::module *m);
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}
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#endif // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_MODEL_CONFIG_H_
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24
sherpa-onnx/python/csrc/offline-paraformer-model-config.cc
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24
sherpa-onnx/python/csrc/offline-paraformer-model-config.cc
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@@ -0,0 +1,24 @@
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// sherpa-onnx/python/csrc/offline-paraformer-model-config.cc
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//
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// Copyright (c) 2023 by manyeyes
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#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/offline-paraformer-model-config.h"
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namespace sherpa_onnx {
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void PybindOfflineParaformerModelConfig(py::module *m) {
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using PyClass = OfflineParaformerModelConfig;
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py::class_<PyClass>(*m, "OfflineParaformerModelConfig")
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.def(py::init<const std::string &>(),
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py::arg("model"))
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.def_readwrite("model", &PyClass::model)
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.def("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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16
sherpa-onnx/python/csrc/offline-paraformer-model-config.h
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16
sherpa-onnx/python/csrc/offline-paraformer-model-config.h
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@@ -0,0 +1,16 @@
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// sherpa-onnx/python/csrc/offline-paraformer-model-config.h
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//
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// Copyright (c) 2023 by manyeyes
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#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_PARAFORMER_MODEL_CONFIG_H_
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#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_PARAFORMER_MODEL_CONFIG_H_
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#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
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namespace sherpa_onnx {
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void PybindOfflineParaformerModelConfig(py::module *m);
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}
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#endif // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_PARAFORMER_MODEL_CONFIG_H_
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43
sherpa-onnx/python/csrc/offline-recognizer.cc
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43
sherpa-onnx/python/csrc/offline-recognizer.cc
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@@ -0,0 +1,43 @@
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// sherpa-onnx/python/csrc/offline-recognizer.cc
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//
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// Copyright (c) 2023 by manyeyes
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#include "sherpa-onnx/python/csrc/offline-recognizer.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/offline-recognizer.h"
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namespace sherpa_onnx {
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static void PybindOfflineRecognizerConfig(py::module *m) {
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using PyClass = OfflineRecognizerConfig;
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py::class_<PyClass>(*m, "OfflineRecognizerConfig")
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.def(py::init<const OfflineFeatureExtractorConfig &,
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const OfflineModelConfig &, const std::string &>(),
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py::arg("feat_config"), py::arg("model_config"),
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py::arg("decoding_method"))
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.def_readwrite("feat_config", &PyClass::feat_config)
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.def_readwrite("model_config", &PyClass::model_config)
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.def_readwrite("decoding_method", &PyClass::decoding_method)
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.def("__str__", &PyClass::ToString);
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}
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void PybindOfflineRecognizer(py::module *m) {
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PybindOfflineRecognizerConfig(m);
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using PyClass = OfflineRecognizer;
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py::class_<PyClass>(*m, "OfflineRecognizer")
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.def(py::init<const OfflineRecognizerConfig &>(), py::arg("config"))
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.def("create_stream", &PyClass::CreateStream)
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.def("decode_stream", &PyClass::DecodeStream)
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.def("decode_streams",
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[](PyClass &self, std::vector<OfflineStream *> ss) {
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self.DecodeStreams(ss.data(), ss.size());
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});
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}
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} // namespace sherpa_onnx
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16
sherpa-onnx/python/csrc/offline-recognizer.h
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16
sherpa-onnx/python/csrc/offline-recognizer.h
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@@ -0,0 +1,16 @@
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// sherpa-onnx/python/csrc/offline-recognizer.h
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//
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// Copyright (c) 2023 by manyeyes
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#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_RECOGNIZER_H_
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#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_RECOGNIZER_H_
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#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
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namespace sherpa_onnx {
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void PybindOfflineRecognizer(py::module *m);
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}
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#endif // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_RECOGNIZER_H_
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61
sherpa-onnx/python/csrc/offline-stream.cc
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61
sherpa-onnx/python/csrc/offline-stream.cc
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@@ -0,0 +1,61 @@
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// sherpa-onnx/python/csrc/offline-stream.cc
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//
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// Copyright (c) 2023 by manyeyes
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#include "sherpa-onnx/python/csrc/offline-stream.h"
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#include "sherpa-onnx/csrc/offline-stream.h"
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namespace sherpa_onnx {
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constexpr const char *kAcceptWaveformUsage = R"(
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Process audio samples.
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Args:
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sample_rate:
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Sample rate of the input samples. If it is different from the one
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expected by the model, we will do resampling inside.
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waveform:
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A 1-D float32 tensor containing audio samples. It must be normalized
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to the range [-1, 1].
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)";
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static void PybindOfflineRecognitionResult(py::module *m) { // NOLINT
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using PyClass = OfflineRecognitionResult;
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py::class_<PyClass>(*m, "OfflineRecognitionResult")
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.def_property_readonly("text",
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[](const PyClass &self) { return self.text; })
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.def_property_readonly("tokens",
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[](const PyClass &self) { return self.tokens; })
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.def_property_readonly(
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"timestamps", [](const PyClass &self) { return self.timestamps; });
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}
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static void PybindOfflineFeatureExtractorConfig(py::module *m) {
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using PyClass = OfflineFeatureExtractorConfig;
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py::class_<PyClass>(*m, "OfflineFeatureExtractorConfig")
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.def(py::init<int32_t, int32_t>(), py::arg("sampling_rate") = 16000,
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py::arg("feature_dim") = 80)
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.def_readwrite("sampling_rate", &PyClass::sampling_rate)
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.def_readwrite("feature_dim", &PyClass::feature_dim)
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.def("__str__", &PyClass::ToString);
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}
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void PybindOfflineStream(py::module *m) {
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PybindOfflineFeatureExtractorConfig(m);
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PybindOfflineRecognitionResult(m);
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using PyClass = OfflineStream;
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py::class_<PyClass>(*m, "OfflineStream")
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.def(
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"accept_waveform",
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[](PyClass &self, float sample_rate, py::array_t<float> waveform) {
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self.AcceptWaveform(sample_rate, waveform.data(), waveform.size());
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},
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py::arg("sample_rate"), py::arg("waveform"), kAcceptWaveformUsage)
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.def_property_readonly("result", &PyClass::GetResult);
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}
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} // namespace sherpa_onnx
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16
sherpa-onnx/python/csrc/offline-stream.h
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16
sherpa-onnx/python/csrc/offline-stream.h
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@@ -0,0 +1,16 @@
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// sherpa-onnx/python/csrc/offline-stream.h
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//
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// Copyright (c) 2023 by manyeyes
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#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_STREAM_H_
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#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_STREAM_H_
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#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
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namespace sherpa_onnx {
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void PybindOfflineStream(py::module *m);
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}
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#endif // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_STREAM_H_
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28
sherpa-onnx/python/csrc/offline-transducer-model-config.cc
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28
sherpa-onnx/python/csrc/offline-transducer-model-config.cc
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@@ -0,0 +1,28 @@
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// sherpa-onnx/python/csrc/offline-transducer-model-config.cc
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//
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// Copyright (c) 2023 by manyeyes
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#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/offline-transducer-model-config.h"
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namespace sherpa_onnx {
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void PybindOfflineTransducerModelConfig(py::module *m) {
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using PyClass = OfflineTransducerModelConfig;
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py::class_<PyClass>(*m, "OfflineTransducerModelConfig")
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.def(py::init<const std::string &, const std::string &,
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const std::string &>(),
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py::arg("encoder_filename"), py::arg("decoder_filename"),
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py::arg("joiner_filename"))
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.def_readwrite("encoder_filename", &PyClass::encoder_filename)
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.def_readwrite("decoder_filename", &PyClass::decoder_filename)
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.def_readwrite("joiner_filename", &PyClass::joiner_filename)
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.def("__str__", &PyClass::ToString);
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}
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} // namespace sherpa_onnx
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16
sherpa-onnx/python/csrc/offline-transducer-model-config.h
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16
sherpa-onnx/python/csrc/offline-transducer-model-config.h
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@@ -0,0 +1,16 @@
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// sherpa-onnx/python/csrc/offline-transducer-model-config.h
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//
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// Copyright (c) 2023 by manyeyes
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#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_TRANSDUCER_MODEL_CONFIG_H_
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#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_TRANSDUCER_MODEL_CONFIG_H_
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#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
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namespace sherpa_onnx {
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void PybindOfflineTransducerModelConfig(py::module *m);
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}
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#endif // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_TRANSDUCER_MODEL_CONFIG_H_
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@@ -11,10 +11,17 @@
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#include "sherpa-onnx/python/csrc/online-stream.h"
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#include "sherpa-onnx/python/csrc/online-transducer-model-config.h"
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#include "sherpa-onnx/python/csrc/offline-model-config.h"
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#include "sherpa-onnx/python/csrc/offline-paraformer-model-config.h"
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#include "sherpa-onnx/python/csrc/offline-recognizer.h"
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#include "sherpa-onnx/python/csrc/offline-stream.h"
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#include "sherpa-onnx/python/csrc/offline-transducer-model-config.h"
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namespace sherpa_onnx {
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PYBIND11_MODULE(_sherpa_onnx, m) {
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m.doc() = "pybind11 binding of sherpa-onnx";
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PybindFeatures(&m);
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PybindOnlineTransducerModelConfig(&m);
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PybindOnlineStream(&m);
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@@ -22,6 +29,10 @@ PYBIND11_MODULE(_sherpa_onnx, m) {
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PybindOnlineRecognizer(&m);
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PybindDisplay(&m);
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PybindOfflineStream(&m);
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PybindOfflineModelConfig(&m);
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PybindOfflineRecognizer(&m);
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}
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} // namespace sherpa_onnx
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