// sherpa-onnx/python/csrc/offline-recognizer.cc
//
// Copyright (c) 2023 by manyeyes
#include "sherpa-onnx/python/csrc/offline-recognizer.h"
#include <string>
#include <vector>
#include "sherpa-onnx/csrc/offline-recognizer.h"
namespace sherpa_onnx {
static void PybindOfflineRecognizerConfig(py::module *m) {
using PyClass = OfflineRecognizerConfig;
py::class_<PyClass>(*m, "OfflineRecognizerConfig")
.def(py::init<const OfflineFeatureExtractorConfig &,
const OfflineModelConfig &, const OfflineLMConfig &,
const std::string &, int32_t, float>(),
py::arg("feat_config"), py::arg("model_config"),
py::arg("lm_config") = OfflineLMConfig(),
py::arg("decoding_method") = "greedy_search",
py::arg("max_active_paths") = 4, py::arg("context_score") = 1.5)
.def_readwrite("feat_config", &PyClass::feat_config)
.def_readwrite("model_config", &PyClass::model_config)
.def_readwrite("lm_config", &PyClass::lm_config)
.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 PybindOfflineRecognizer(py::module *m) {
PybindOfflineRecognizerConfig(m);
using PyClass = OfflineRecognizer;
py::class_<PyClass>(*m, "OfflineRecognizer")
.def(py::init<const OfflineRecognizerConfig &>(), 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("decode_stream", &PyClass::DecodeStream)
.def("decode_streams",
[](const PyClass &self, std::vector<OfflineStream *> ss) {
self.DecodeStreams(ss.data(), ss.size());
});
} // namespace sherpa_onnx