online-recognizer.cc
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// sherpa-onnx/python/csrc/online-recongizer.cc
//
// Copyright (c) 2023 Xiaomi Corporation
#include "sherpa-onnx/python/csrc/online-recognizer.h"
#include <string>
#include <vector>
#include "sherpa-onnx/csrc/online-recognizer.h"
namespace sherpa_onnx {
static void PybindOnlineRecognizerResult(py::module *m) {
using PyClass = OnlineRecognizerResult;
py::class_<PyClass>(*m, "OnlineRecognizerResult")
.def_property_readonly(
"text", [](PyClass &self) -> std::string { return self.text; })
.def_property_readonly(
"tokens",
[](PyClass &self) -> std::vector<std::string> { return self.tokens; })
.def_property_readonly(
"timestamps",
[](PyClass &self) -> std::vector<float> { return self.timestamps; });
}
static void PybindOnlineRecognizerConfig(py::module *m) {
using PyClass = OnlineRecognizerConfig;
py::class_<PyClass>(*m, "OnlineRecognizerConfig")
.def(py::init<const FeatureExtractorConfig &, const OnlineModelConfig &,
const OnlineLMConfig &, const EndpointConfig &, bool,
const std::string &, int32_t, float>(),
py::arg("feat_config"), py::arg("model_config"),
py::arg("lm_config") = OnlineLMConfig(), py::arg("endpoint_config"),
py::arg("enable_endpoint"), py::arg("decoding_method"),
py::arg("max_active_paths") = 4, py::arg("context_score") = 0)
.def_readwrite("feat_config", &PyClass::feat_config)
.def_readwrite("model_config", &PyClass::model_config)
.def_readwrite("endpoint_config", &PyClass::endpoint_config)
.def_readwrite("enable_endpoint", &PyClass::enable_endpoint)
.def_readwrite("decoding_method", &PyClass::decoding_method)
.def_readwrite("max_active_paths", &PyClass::max_active_paths)
.def_readwrite("context_score", &PyClass::context_score)
.def("__str__", &PyClass::ToString);
}
void PybindOnlineRecognizer(py::module *m) {
PybindOnlineRecognizerResult(m);
PybindOnlineRecognizerConfig(m);
using PyClass = OnlineRecognizer;
py::class_<PyClass>(*m, "OnlineRecognizer")
.def(py::init<const OnlineRecognizerConfig &>(), py::arg("config"))
.def("create_stream",
[](const PyClass &self) { return self.CreateStream(); })
.def(
"create_stream",
[](PyClass &self,
const std::vector<std::vector<int32_t>> &contexts_list) {
return self.CreateStream(contexts_list);
},
py::arg("contexts_list"))
.def("is_ready", &PyClass::IsReady)
.def("decode_stream", &PyClass::DecodeStream)
.def("decode_streams",
[](PyClass &self, std::vector<OnlineStream *> ss) {
self.DecodeStreams(ss.data(), ss.size());
})
.def("get_result", &PyClass::GetResult)
.def("is_endpoint", &PyClass::IsEndpoint)
.def("reset", &PyClass::Reset);
}
} // namespace sherpa_onnx