Fangjun Kuang
Committed by GitHub

C api example for sense voice (#1165)

name: c-api
on:
push:
branches:
- master
tags:
- 'v[0-9]+.[0-9]+.[0-9]+*'
paths:
- '.github/workflows/c-api.yaml'
- 'CMakeLists.txt'
- 'cmake/**'
- 'sherpa-onnx/csrc/*'
- 'sherpa-onnx/c-api/*'
- 'c-api-examples/**'
pull_request:
branches:
- master
paths:
- '.github/workflows/c-api.yaml'
- 'CMakeLists.txt'
- 'cmake/**'
- 'sherpa-onnx/csrc/*'
- 'sherpa-onnx/c-api/*'
- 'c-api-examples/**'
workflow_dispatch:
concurrency:
group: c-api-${{ github.ref }}
cancel-in-progress: true
jobs:
c_api:
name: ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [ubuntu-latest, macos-latest]
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- name: ccache
uses: hendrikmuhs/ccache-action@v1.2
with:
key: ${{ matrix.os }}-c-api-shared
- name: Build sherpa-onnx
shell: bash
run: |
export CMAKE_CXX_COMPILER_LAUNCHER=ccache
export PATH="/usr/lib/ccache:/usr/local/opt/ccache/libexec:$PATH"
cmake --version
mkdir build
cd build
cmake \
-D CMAKE_BUILD_TYPE=Release \
-D BUILD_SHARED_LIBS=ON \
-D CMAKE_INSTALL_PREFIX=./install \
-D SHERPA_ONNX_ENABLE_BINARY=OFF \
..
make -j2 install
ls -lh install/lib
ls -lh install/include
if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
ldd ./install/lib/libsherpa-onnx-c-api.so
echo "---"
readelf -d ./install/lib/libsherpa-onnx-c-api.so
fi
if [[ ${{ matrix.os }} == macos-latest ]]; then
otool -L ./install/lib/libsherpa-onnx-c-api.dylib
fi
- name: Test sense-voice
shell: bash
run: |
gcc -o sense-voice-c-api ./c-api-examples/sense-voice-c-api.c \
-I ./build/install/include \
-L ./build/install/lib/ \
-l sherpa-onnx-c-api \
-l onnxruntime
ls -lh sense-voice-c-api
if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
ldd ./sense-voice-c-api
echo "----"
readelf -d ./sense-voice-c-api
fi
# Now download models
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
ls -lh sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17
echo "---"
ls -lh sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/test_wavs
export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
./sense-voice-c-api
rm -rf sherpa-onnx-sense-voice-*
- name: Test whisper
shell: bash
run: |
gcc -o whisper-c-api ./c-api-examples/whisper-c-api.c \
-I ./build/install/include \
-L ./build/install/lib/ \
-l sherpa-onnx-c-api \
-l onnxruntime
ls -lh whisper-c-api
if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
ldd ./whisper-c-api
echo "----"
readelf -d ./whisper-c-api
fi
curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.tar.bz2
tar xvf sherpa-onnx-whisper-tiny.tar.bz2
rm sherpa-onnx-whisper-tiny.tar.bz2
ls -lh sherpa-onnx-whisper-tiny
echo "---"
ls -lh sherpa-onnx-whisper-tiny/test_wavs
export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH
./whisper-c-api
rm -rf sherpa-onnx-whisper-*
... ...
... ... @@ -24,8 +24,11 @@ target_link_libraries(audio-tagging-c-api sherpa-onnx-c-api)
add_executable(add-punctuation-c-api add-punctuation-c-api.c)
target_link_libraries(add-punctuation-c-api sherpa-onnx-c-api)
add_executable(offline-stt-c-api offline-stt-c-api.c)
target_link_libraries(offline-stt-c-api sherpa-onnx-c-api)
add_executable(whisper-c-api whisper-c-api.c)
target_link_libraries(whisper-c-api sherpa-onnx-c-api)
add_executable(sense-voice-c-api sense-voice-c-api.c)
target_link_libraries(sense-voice-c-api sherpa-onnx-c-api)
if(SHERPA_ONNX_HAS_ALSA)
add_subdirectory(./asr-microphone-example)
... ...
// c-api-examples/sense-voice-c-api.c
//
// Copyright (c) 2024 Xiaomi Corporation
//
// This file demonstrates how to use SenseVoice with sherpa-onnx's C API.
// clang-format off
//
// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
// tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
// rm sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
//
// clang-format on
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include "sherpa-onnx/c-api/c-api.h"
int32_t main() {
// You can find more test waves from
// https://hf-mirror.com/spaces/k2-fsa/spoken-language-identification/tree/main/test_wavs
const char *wav_filename =
"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/test_wavs/en.wav";
const char *model_filename =
"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx";
const char *tokens_filename =
"./sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt";
const char *language = "auto";
const char *provider = "cpu";
int32_t use_inverse_text_normalization = 1;
const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
if (wave == NULL) {
fprintf(stderr, "Failed to read %s\n", wav_filename);
return -1;
}
SherpaOnnxOfflineSenseVoiceModelConfig sense_voice_config;
memset(&sense_voice_config, 0, sizeof(sense_voice_config));
sense_voice_config.model = model_filename;
sense_voice_config.language = language;
sense_voice_config.use_itn = use_inverse_text_normalization;
// Offline model config
SherpaOnnxOfflineModelConfig offline_model_config;
memset(&offline_model_config, 0, sizeof(offline_model_config));
offline_model_config.debug = 1;
offline_model_config.num_threads = 1;
offline_model_config.provider = provider;
offline_model_config.tokens = tokens_filename;
offline_model_config.sense_voice = sense_voice_config;
// Recognizer config
SherpaOnnxOfflineRecognizerConfig recognizer_config;
memset(&recognizer_config, 0, sizeof(recognizer_config));
recognizer_config.decoding_method = "greedy_search";
recognizer_config.model_config = offline_model_config;
SherpaOnnxOfflineRecognizer *recognizer =
CreateOfflineRecognizer(&recognizer_config);
if (recognizer == NULL) {
fprintf(stderr, "Please check your config!\n");
SherpaOnnxFreeWave(wave);
return -1;
}
SherpaOnnxOfflineStream *stream = CreateOfflineStream(recognizer);
AcceptWaveformOffline(stream, wave->sample_rate, wave->samples,
wave->num_samples);
DecodeOfflineStream(recognizer, stream);
const SherpaOnnxOfflineRecognizerResult *result =
GetOfflineStreamResult(stream);
fprintf(stderr, "Decoded text: %s\n", result->text);
DestroyOfflineRecognizerResult(result);
DestroyOfflineStream(stream);
DestroyOfflineRecognizer(recognizer);
SherpaOnnxFreeWave(wave);
return 0;
}
... ...
... ... @@ -21,8 +21,6 @@
#include "sherpa-onnx/c-api/c-api.h"
int32_t main() {
// You can find more test waves from
// https://hf-mirror.com/spaces/k2-fsa/spoken-language-identification/tree/main/test_wavs
const char *wav_filename = "./sherpa-onnx-whisper-tiny/test_wavs/0.wav";
const char *encoder_filename = "sherpa-onnx-whisper-tiny/tiny-encoder.onnx";
const char *decoder_filename = "sherpa-onnx-whisper-tiny/tiny-decoder.onnx";
... ... @@ -48,31 +46,36 @@ int32_t main() {
// Offline model config
SherpaOnnxOfflineModelConfig offline_model_config;
memset(&offline_model_config, 0, sizeof(offline_model_config));
offline_model_config.bpe_vocab = "";
offline_model_config.debug = 1;
offline_model_config.num_threads = 1;
offline_model_config.provider = provider;
offline_model_config.tokens = tokens_filename;
offline_model_config.whisper = whisper_config;
offline_model_config.sense_voice =
(SherpaOnnxOfflineSenseVoiceModelConfig){"", "", 0};
// Recognizer config
SherpaOnnxOfflineRecognizerConfig recognizer_config;
memset(&recognizer_config, 0, sizeof(recognizer_config));
recognizer_config.decoding_method = "greedy_search";
recognizer_config.feat_config = (SherpaOnnxFeatureConfig){16000, 512};
recognizer_config.model_config = offline_model_config;
SherpaOnnxOfflineRecognizer *recognizer =
CreateOfflineRecognizer(&recognizer_config);
if (recognizer == NULL) {
fprintf(stderr, "Please check your config!\n");
SherpaOnnxFreeWave(wave);
return -1;
}
SherpaOnnxOfflineStream *stream = CreateOfflineStream(recognizer);
AcceptWaveformOffline(stream, wave->sample_rate, wave->samples,
wave->num_samples);
DecodeOfflineStream(recognizer, stream);
SherpaOnnxOfflineRecognizerResult *result = GetOfflineStreamResult(stream);
const SherpaOnnxOfflineRecognizerResult *result =
GetOfflineStreamResult(stream);
fprintf(stderr, "Decoded text: %s\n", result->text);
... ...