* Add emotion, event of SenseVoice. * Fix tokens size check and update java api. https://github.com/k2-fsa/sherpa-onnx/pull/1257
66 lines
2.3 KiB
C++
66 lines
2.3 KiB
C++
// 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 <vector>
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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("__str__", &PyClass::AsJsonString)
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.def_property_readonly(
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"text",
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[](const PyClass &self) -> py::str {
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return py::str(PyUnicode_DecodeUTF8(self.text.c_str(),
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self.text.size(), "ignore"));
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})
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.def_property_readonly("lang",
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[](const PyClass &self) { return self.lang; })
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.def_property_readonly("emotion",
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[](const PyClass &self) { return self.emotion; })
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.def_property_readonly("event",
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[](const PyClass &self) { return self.event; })
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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("words",
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[](const PyClass &self) { return self.words; })
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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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void PybindOfflineStream(py::module *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,
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const std::vector<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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py::call_guard<py::gil_scoped_release>())
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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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