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allow more online models to load tokens file from the memory #1352

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96 changes: 96 additions & 0 deletions .github/workflows/c-api-from-buffer.yaml
Original file line number Diff line number Diff line change
Expand Up @@ -120,3 +120,99 @@ jobs:
./streaming-zipformer-buffered-tokens-hotwords-c-api

rm -rf sherpa-onnx-streaming-zipformer-*

- name: Test streaming paraformer with tokens and hotwords loaded from buffers
shell: bash
run: |
gcc -o streaming-paraformer-buffered-tokens-hotwords-c-api ./c-api-examples/streaming-paraformer-buffered-tokens-hotwords-c-api.c \
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-I ./build/install/include \
-L ./build/install/lib/ \
-l sherpa-onnx-c-api \
-l onnxruntime

ls -lh streaming-paraformer-buffered-tokens-hotwords-c-api
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if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
ldd ./streaming-paraformer-buffered-tokens-hotwords-c-api
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echo "----"
readelf -d ./streaming-paraformer-buffered-tokens-hotwords-c-api
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fi

curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
tar xvf sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2
rm sherpa-onnx-streaming-paraformer-bilingual-zh-en.tar.bz2

ls -lh sherpa-onnx-streaming-paraformer-bilingual-zh-en
echo "---"
ls -lh sherpa-onnx-streaming-paraformer-bilingual-zh-en/test_wavs

export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH

./streaming-paraformer-buffered-tokens-hotwords-c-api
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rm -rf sherpa-onnx-streaming-paraformer-*

- name: Test streaming ctc with tokens and hotwords loaded from buffers
shell: bash
run: |
gcc -o streaming-ctc-buffered-tokens-hotwords-c-api ./c-api-examples/streaming-ctc-buffered-tokens-hotwords-c-api.c \
-I ./build/install/include \
-L ./build/install/lib/ \
-l sherpa-onnx-c-api \
-l onnxruntime

ls -lh streaming-ctc-buffered-tokens-hotwords-c-api

if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
ldd ./streaming-ctc-buffered-tokens-hotwords-c-api
echo "----"
readelf -d ./streaming-ctc-buffered-tokens-hotwords-c-api
fi

curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13.tar.bz2
tar xvf sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13.tar.bz2
rm sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13.tar.bz2

ls -lh sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13
echo "---"
ls -lh sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13/test_wavs

export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH

./streaming-ctc-buffered-tokens-hotwords-c-api

rm -rf sherpa-onnx-streaming-ctc-*

- name: Test keywords spotting with tokens and hotwords loaded from buffers
shell: bash
run: |
gcc -o keywords-spotter-buffered-tokens-keywords-c-api ./c-api-examples/keywords-spotter-buffered-tokens-keywords-c-api.c \
-I ./build/install/include \
-L ./build/install/lib/ \
-l sherpa-onnx-c-api \
-l onnxruntime

ls -lh keywords-spotter-buffered-tokens-keywords-c-api

if [[ ${{ matrix.os }} == ubuntu-latest ]]; then
ldd ./keywords-spotter-buffered-tokens-keywords-c-api
echo "----"
readelf -d ./keywords-spotter-buffered-tokens-keywords-c-api
fi

curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile.tar.bz2
tar xvf sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile.tar.bz2
rm sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile.tar.bz2

ls -lh sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile
echo "---"
ls -lh sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/test_wavs

export LD_LIBRARY_PATH=$PWD/build/install/lib:$LD_LIBRARY_PATH
export DYLD_LIBRARY_PATH=$PWD/build/install/lib:$DYLD_LIBRARY_PATH

./keywords-spotter-buffered-tokens-keywords-c-api

rm -rf sherpa-onnx-kws-zipformer-*
12 changes: 12 additions & 0 deletions c-api-examples/CMakeLists.txt
Original file line number Diff line number Diff line change
Expand Up @@ -52,6 +52,18 @@ add_executable(streaming-zipformer-buffered-tokens-hotwords-c-api
streaming-zipformer-buffered-tokens-hotwords-c-api.c)
target_link_libraries(streaming-zipformer-buffered-tokens-hotwords-c-api sherpa-onnx-c-api)

add_executable(streaming-paraformer-buffered-tokens-hotwords-c-api
streaming-paraformer-buffered-tokens-hotwords-c-api.c)
target_link_libraries(streaming-paraformer-buffered-tokens-hotwords-c-api sherpa-onnx-c-api)

add_executable(streaming-ctc-buffered-tokens-hotwords-c-api
streaming-ctc-buffered-tokens-hotwords-c-api.c)
target_link_libraries(streaming-ctc-buffered-tokens-hotwords-c-api sherpa-onnx-c-api)

add_executable(keywords-spotter-buffered-tokens-keywords-c-api
keywords-spotter-buffered-tokens-keywords-c-api.c)
target_link_libraries(keywords-spotter-buffered-tokens-keywords-c-api sherpa-onnx-c-api)

if(SHERPA_ONNX_HAS_ALSA)
add_subdirectory(./asr-microphone-example)
elseif((UNIX AND NOT APPLE) OR LINUX)
Expand Down
196 changes: 196 additions & 0 deletions c-api-examples/keywords-spotter-buffered-tokens-keywords-c-api.c
Original file line number Diff line number Diff line change
@@ -0,0 +1,196 @@
// c-api-examples/keywords-spotter-buffered-tokens-keywords-c-api.c
//
// Copyright (c) 2024 Xiaomi Corporation
// Copyright (c) 2024 Luo Xiao

//
// This file demonstrates how to use keywords spotter with sherpa-onnx's C
// API and with tokens and keywords loaded from buffered strings instead of from
// external files API.
// clang-format off
//
// wget https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile.tar.bz2
// tar xvf sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile.tar.bz2
// rm sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile.tar.bz2
//
// clang-format on

#include <stdio.h>
#include <stdlib.h>
#include <string.h>

#include "sherpa-onnx/c-api/c-api.h"

static size_t ReadFile(const char *filename, const char **buffer_out) {
FILE *file = fopen(filename, "r");
if (file == NULL) {
fprintf(stderr, "Failed to open %s\n", filename);
return -1;
}
fseek(file, 0L, SEEK_END);
long size = ftell(file);
rewind(file);
*buffer_out = malloc(size);
if (*buffer_out == NULL) {
fclose(file);
fprintf(stderr, "Memory error\n");
return -1;
}
size_t read_bytes = fread(*buffer_out, 1, size, file);
if (read_bytes != size) {
printf("Errors occured in reading the file %s\n", filename);
free((void *)*buffer_out);
*buffer_out = NULL;
fclose(file);
return -1;
}
fclose(file);
return read_bytes;
}

int32_t main() {
const char *wav_filename =
"sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/test_wavs/"
"6.wav";
const char *encoder_filename =
"sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
const char *decoder_filename =
"sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"decoder-epoch-12-avg-2-chunk-16-left-64.onnx";
const char *joiner_filename =
"sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx";
const char *provider = "cpu";
const char *tokens_filename =
"sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/tokens.txt";
const char *keywords_filename =
"sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/"
"keywords.txt";
const SherpaOnnxWave *wave = SherpaOnnxReadWave(wav_filename);
if (wave == NULL) {
fprintf(stderr, "Failed to read %s\n", wav_filename);
return -1;
}

// reading tokens and hotwords to buffers
const char *tokens_buf;
size_t token_buf_size = ReadFile(tokens_filename, &tokens_buf);
if (token_buf_size < 1) {
fprintf(stderr, "Please check your tokens.txt!\n");
free((void *)tokens_buf);
return -1;
}
const char *keywords_buf;
size_t keywords_buf_size = ReadFile(keywords_filename, &keywords_buf);
if (keywords_buf_size < 1) {
fprintf(stderr, "Please check your hotwords.txt!\n");
free((void *)keywords_buf);
return -1;
}

// Zipformer config
SherpaOnnxOnlineTransducerModelConfig zipformer_config;
memset(&zipformer_config, 0, sizeof(zipformer_config));
zipformer_config.encoder = encoder_filename;
zipformer_config.decoder = decoder_filename;
zipformer_config.joiner = joiner_filename;

// Online model config
SherpaOnnxOnlineModelConfig online_model_config;
memset(&online_model_config, 0, sizeof(online_model_config));
online_model_config.debug = 1;
online_model_config.num_threads = 1;
online_model_config.provider = provider;
online_model_config.tokens_buf = tokens_buf;
online_model_config.tokens_buf_size = token_buf_size;
online_model_config.transducer = zipformer_config;

// Keywords-spotter config
SherpaOnnxKeywordSpotterConfig keywords_spotter_config;
memset(&keywords_spotter_config, 0, sizeof(keywords_spotter_config));
keywords_spotter_config.max_active_paths = 4;
keywords_spotter_config.keywords_threshold = 0.1;
keywords_spotter_config.keywords_score = 3.0;
keywords_spotter_config.model_config = online_model_config;
keywords_spotter_config.keywords_buf = keywords_buf;
keywords_spotter_config.keywords_buf_size = keywords_buf_size;

SherpaOnnxKeywordSpotter *keywords_spotter =
SherpaOnnxCreateKeywordSpotter(&keywords_spotter_config);

free((void *)tokens_buf);
tokens_buf = NULL;
free((void *)keywords_buf);
keywords_buf = NULL;

if (keywords_spotter == NULL) {
fprintf(stderr, "Please check your config!\n");
SherpaOnnxFreeWave(wave);
return -1;
}

SherpaOnnxOnlineStream *stream =
SherpaOnnxCreateKeywordStream(keywords_spotter);

const SherpaOnnxDisplay *display = SherpaOnnxCreateDisplay(50);
int32_t segment_id = 0;

// simulate streaming. You can choose an arbitrary N
#define N 3200

fprintf(stderr, "sample rate: %d, num samples: %d, duration: %.2f s\n",
wave->sample_rate, wave->num_samples,
(float)wave->num_samples / wave->sample_rate);

int32_t k = 0;
while (k < wave->num_samples) {
int32_t start = k;
int32_t end =
(start + N > wave->num_samples) ? wave->num_samples : (start + N);
k += N;

SherpaOnnxOnlineStreamAcceptWaveform(stream, wave->sample_rate,
wave->samples + start, end - start);
while (SherpaOnnxIsKeywordStreamReady(keywords_spotter, stream)) {
SherpaOnnxDecodeKeywordStream(keywords_spotter, stream);
}

const SherpaOnnxKeywordResult *r =
SherpaOnnxGetKeywordResult(keywords_spotter, stream);

if (strlen(r->keyword)) {
SherpaOnnxPrint(display, segment_id, r->keyword);
}

SherpaOnnxDestroyKeywordResult(r);
}

// add some tail padding
float tail_paddings[4800] = {0}; // 0.3 seconds at 16 kHz sample rate
SherpaOnnxOnlineStreamAcceptWaveform(stream, wave->sample_rate, tail_paddings,
4800);

SherpaOnnxFreeWave(wave);

SherpaOnnxOnlineStreamInputFinished(stream);
while (SherpaOnnxIsKeywordStreamReady(keywords_spotter, stream)) {
SherpaOnnxDecodeKeywordStream(keywords_spotter, stream);
}

const SherpaOnnxKeywordResult *r =
SherpaOnnxGetKeywordResult(keywords_spotter, stream);

if (strlen(r->keyword)) {
SherpaOnnxPrint(display, segment_id, r->keyword);
}

SherpaOnnxDestroyKeywordResult(r);

SherpaOnnxDestroyDisplay(display);
SherpaOnnxDestroyOnlineStream(stream);
SherpaOnnxDestroyKeywordSpotter(keywords_spotter);
fprintf(stderr, "\n");

return 0;
}
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