76 lines
2.9 KiB
C++
76 lines
2.9 KiB
C++
// sherpa-onnx/python/csrc/online-recongizer.cc
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//
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// Copyright (c) 2023 Xiaomi Corporation
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#include "sherpa-onnx/python/csrc/online-recognizer.h"
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#include <string>
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#include <vector>
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#include "sherpa-onnx/csrc/online-recognizer.h"
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namespace sherpa_onnx {
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static void PybindOnlineRecognizerResult(py::module *m) {
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using PyClass = OnlineRecognizerResult;
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py::class_<PyClass>(*m, "OnlineRecognizerResult")
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.def_property_readonly(
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"text", [](PyClass &self) -> std::string { return self.text; })
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.def_property_readonly(
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"tokens",
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[](PyClass &self) -> std::vector<std::string> { return self.tokens; })
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.def_property_readonly(
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"timestamps",
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[](PyClass &self) -> std::vector<float> { return self.timestamps; });
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}
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static void PybindOnlineRecognizerConfig(py::module *m) {
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using PyClass = OnlineRecognizerConfig;
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py::class_<PyClass>(*m, "OnlineRecognizerConfig")
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.def(py::init<const FeatureExtractorConfig &,
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const OnlineTransducerModelConfig &, const OnlineLMConfig &,
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const EndpointConfig &, bool, const std::string &, int32_t,
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float>(),
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py::arg("feat_config"), py::arg("model_config"),
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py::arg("lm_config") = OnlineLMConfig(), py::arg("endpoint_config"),
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py::arg("enable_endpoint"), py::arg("decoding_method"),
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py::arg("max_active_paths"), py::arg("context_score"))
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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("endpoint_config", &PyClass::endpoint_config)
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.def_readwrite("enable_endpoint", &PyClass::enable_endpoint)
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.def_readwrite("decoding_method", &PyClass::decoding_method)
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.def_readwrite("max_active_paths", &PyClass::max_active_paths)
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.def_readwrite("context_score", &PyClass::context_score)
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.def("__str__", &PyClass::ToString);
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}
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void PybindOnlineRecognizer(py::module *m) {
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PybindOnlineRecognizerResult(m);
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PybindOnlineRecognizerConfig(m);
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using PyClass = OnlineRecognizer;
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py::class_<PyClass>(*m, "OnlineRecognizer")
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.def(py::init<const OnlineRecognizerConfig &>(), py::arg("config"))
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.def("create_stream",
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[](const PyClass &self) { return self.CreateStream(); })
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.def(
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"create_stream",
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[](PyClass &self,
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const std::vector<std::vector<int32_t>> &contexts_list) {
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return self.CreateStream(contexts_list);
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},
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py::arg("contexts_list"))
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.def("is_ready", &PyClass::IsReady)
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.def("decode_stream", &PyClass::DecodeStream)
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.def("decode_streams",
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[](PyClass &self, std::vector<OnlineStream *> ss) {
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self.DecodeStreams(ss.data(), ss.size());
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})
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.def("get_result", &PyClass::GetResult)
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.def("is_endpoint", &PyClass::IsEndpoint)
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.def("reset", &PyClass::Reset);
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}
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} // namespace sherpa_onnx
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