mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-28 01:29:17 +01:00
addon.node : using whisper as a Node.js addon (#443)
* addon: implement node addon call whisper through cpp * addon: modify the license to MIT * addon: remove iostream * addon: rename dir * addon: fix typo * addon: configure cmake to build when cmake-js is used
This commit is contained in:
Qianhe Chen
GitHub
parent
b2fc4c7010
commit
c306a7fd89
@ -24,6 +24,8 @@ if (EMSCRIPTEN)
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add_subdirectory(command.wasm)
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add_subdirectory(command.wasm)
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add_subdirectory(talk.wasm)
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add_subdirectory(talk.wasm)
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add_subdirectory(bench.wasm)
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add_subdirectory(bench.wasm)
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elseif(CMAKE_JS_VERSION)
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add_subdirectory(addon.node)
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else()
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else()
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add_subdirectory(main)
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add_subdirectory(main)
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add_subdirectory(stream)
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add_subdirectory(stream)
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3
examples/addon.node/.gitignore
vendored
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3
examples/addon.node/.gitignore
vendored
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@ -0,0 +1,3 @@
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.idea
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node_modules
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build
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26
examples/addon.node/CMakeLists.txt
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26
examples/addon.node/CMakeLists.txt
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@ -0,0 +1,26 @@
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set(TARGET whisper-addon)
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# Base settings
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#==================================================================
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# env var supported by cmake-js
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add_definitions(-DNAPI_VERSION=4)
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include_directories(${CMAKE_JS_INC})
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#==================================================================
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add_library(${TARGET} SHARED ${CMAKE_JS_SRC} addon.cpp)
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set_target_properties(${TARGET} PROPERTIES PREFIX "" SUFFIX ".node")
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include(DefaultTargetOptions)
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# Include N-API wrappers
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#==================================================================
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execute_process(COMMAND node -p "require('node-addon-api').include"
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WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
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OUTPUT_VARIABLE NODE_ADDON_API_DIR
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)
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string(REPLACE "\n" "" NODE_ADDON_API_DIR ${NODE_ADDON_API_DIR})
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string(REPLACE "\"" "" NODE_ADDON_API_DIR ${NODE_ADDON_API_DIR})
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target_include_directories(${TARGET} PRIVATE ${NODE_ADDON_API_DIR})
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#==================================================================
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target_link_libraries(${TARGET} ${CMAKE_JS_LIB} whisper ${CMAKE_THREAD_LIBS_INIT})
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37
examples/addon.node/README.md
Normal file
37
examples/addon.node/README.md
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@ -0,0 +1,37 @@
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# addon
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This is an addon demo that can **perform whisper model reasoning in `node` and `electron` environments**, based on [cmake-js](https://github.com/cmake-js/cmake-js).
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It can be used as a reference for using the whisper.cpp project in other node projects.
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## Install
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```shell
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npm install
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```
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## Compile
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Make sure it is in the project root directory and compiled with make-js.
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```shell
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npx cmake-js compile -T whisper-addon
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```
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For Electron addon and cmake-js options, you can see [cmake-js](https://github.com/cmake-js/cmake-js) and make very few configuration changes.
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> Such as appointing special cmake path:
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> ```shell
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> npx cmake-js compile -c 'xxx/cmake' -T whisper-addon
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> ```
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## Run
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```shell
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cd examples/addon.node
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node index.js --language='language' --model='model-path' --fname_inp='file-path'
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```
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Because this is a simple Demo, only the above parameters are set in the node environment.
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Other parameters can also be specified in the node environment.
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421
examples/addon.node/addon.cpp
Normal file
421
examples/addon.node/addon.cpp
Normal file
@ -0,0 +1,421 @@
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#include <string>
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#include <thread>
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#include <vector>
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#include <cmath>
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#include "napi.h"
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#define DR_WAV_IMPLEMENTATION
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#include "dr_wav.h"
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#include "whisper.h"
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struct whisper_params {
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int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
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int32_t n_processors = 1;
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int32_t offset_t_ms = 0;
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int32_t offset_n = 0;
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int32_t duration_ms = 0;
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int32_t max_context = -1;
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int32_t max_len = 0;
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int32_t best_of = 5;
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int32_t beam_size = -1;
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float word_thold = 0.01f;
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float entropy_thold = 2.4f;
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float logprob_thold = -1.0f;
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bool speed_up = false;
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bool translate = false;
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bool diarize = false;
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bool output_txt = false;
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bool output_vtt = false;
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bool output_srt = false;
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bool output_wts = false;
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bool output_csv = false;
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bool print_special = false;
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bool print_colors = false;
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bool print_progress = false;
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bool no_timestamps = false;
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std::string language = "en";
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std::string prompt;
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std::string model = "../../ggml-large.bin";
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std::vector<std::string> fname_inp = {};
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std::vector<std::string> fname_outp = {};
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};
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struct whisper_print_user_data {
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const whisper_params * params;
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const std::vector<std::vector<float>> * pcmf32s;
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};
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// 500 -> 00:05.000
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// 6000 -> 01:00.000
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std::string to_timestamp(int64_t t, bool comma = false) {
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int64_t msec = t * 10;
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int64_t hr = msec / (1000 * 60 * 60);
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msec = msec - hr * (1000 * 60 * 60);
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int64_t min = msec / (1000 * 60);
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msec = msec - min * (1000 * 60);
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int64_t sec = msec / 1000;
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msec = msec - sec * 1000;
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char buf[32];
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snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
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return std::string(buf);
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}
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int timestamp_to_sample(int64_t t, int n_samples) {
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return std::max(0, std::min((int) n_samples - 1, (int) ((t*WHISPER_SAMPLE_RATE)/100)));
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}
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void whisper_print_segment_callback(struct whisper_context * ctx, int n_new, void * user_data) {
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const auto & params = *((whisper_print_user_data *) user_data)->params;
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const auto & pcmf32s = *((whisper_print_user_data *) user_data)->pcmf32s;
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const int n_segments = whisper_full_n_segments(ctx);
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std::string speaker = "";
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int64_t t0;
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int64_t t1;
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// print the last n_new segments
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const int s0 = n_segments - n_new;
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if (s0 == 0) {
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printf("\n");
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}
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for (int i = s0; i < n_segments; i++) {
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if (!params.no_timestamps || params.diarize) {
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t0 = whisper_full_get_segment_t0(ctx, i);
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t1 = whisper_full_get_segment_t1(ctx, i);
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}
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if (!params.no_timestamps) {
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printf("[%s --> %s] ", to_timestamp(t0).c_str(), to_timestamp(t1).c_str());
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}
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if (params.diarize && pcmf32s.size() == 2) {
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const int64_t n_samples = pcmf32s[0].size();
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const int64_t is0 = timestamp_to_sample(t0, n_samples);
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const int64_t is1 = timestamp_to_sample(t1, n_samples);
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double energy0 = 0.0f;
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double energy1 = 0.0f;
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for (int64_t j = is0; j < is1; j++) {
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energy0 += fabs(pcmf32s[0][j]);
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energy1 += fabs(pcmf32s[1][j]);
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}
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if (energy0 > 1.1*energy1) {
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speaker = "(speaker 0)";
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} else if (energy1 > 1.1*energy0) {
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speaker = "(speaker 1)";
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} else {
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speaker = "(speaker ?)";
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}
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//printf("is0 = %lld, is1 = %lld, energy0 = %f, energy1 = %f, %s\n", is0, is1, energy0, energy1, speaker.c_str());
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}
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// colorful print bug
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//
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const char * text = whisper_full_get_segment_text(ctx, i);
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printf("%s%s", speaker.c_str(), text);
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// with timestamps or speakers: each segment on new line
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if (!params.no_timestamps || params.diarize) {
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printf("\n");
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}
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fflush(stdout);
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}
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}
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int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
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if (params.fname_inp.empty()) {
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fprintf(stderr, "error: no input files specified\n");
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return 2;
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}
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if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) {
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fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
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exit(0);
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}
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// whisper init
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struct whisper_context * ctx = whisper_init_from_file(params.model.c_str());
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if (ctx == nullptr) {
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fprintf(stderr, "error: failed to initialize whisper context\n");
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return 3;
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}
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// initial prompt
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std::vector<whisper_token> prompt_tokens;
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if (!params.prompt.empty()) {
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prompt_tokens.resize(1024);
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prompt_tokens.resize(whisper_tokenize(ctx, params.prompt.c_str(), prompt_tokens.data(), prompt_tokens.size()));
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fprintf(stderr, "\n");
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fprintf(stderr, "initial prompt: '%s'\n", params.prompt.c_str());
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fprintf(stderr, "initial tokens: [ ");
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for (int i = 0; i < (int) prompt_tokens.size(); ++i) {
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fprintf(stderr, "%d ", prompt_tokens[i]);
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}
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fprintf(stderr, "]\n");
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}
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for (int f = 0; f < (int) params.fname_inp.size(); ++f) {
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const auto fname_inp = params.fname_inp[f];
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const auto fname_outp = f < (int)params.fname_outp.size() && !params.fname_outp[f].empty() ? params.fname_outp[f] : params.fname_inp[f];
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std::vector<float> pcmf32; // mono-channel F32 PCM
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std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
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// WAV input
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{
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drwav wav;
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std::vector<uint8_t> wav_data; // used for pipe input from stdin
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if (fname_inp == "-") {
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{
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uint8_t buf[1024];
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while (true)
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{
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const size_t n = fread(buf, 1, sizeof(buf), stdin);
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if (n == 0) {
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break;
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}
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wav_data.insert(wav_data.end(), buf, buf + n);
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}
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}
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if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
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fprintf(stderr, "error: failed to open WAV file from stdin\n");
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return 4;
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}
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fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
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}
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else if (drwav_init_file(&wav, fname_inp.c_str(), nullptr) == false) {
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fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
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return 5;
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}
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if (wav.channels != 1 && wav.channels != 2) {
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fprintf(stderr, "error: WAV file '%s' must be mono or stereo\n", fname_inp.c_str());
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return 6;
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}
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if (params.diarize && wav.channels != 2 && params.no_timestamps == false) {
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fprintf(stderr, "error: WAV file '%s' must be stereo for diarization and timestamps have to be enabled\n", fname_inp.c_str());
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return 6;
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}
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if (wav.sampleRate != WHISPER_SAMPLE_RATE) {
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fprintf(stderr, "error: WAV file '%s' must be %i kHz\n", fname_inp.c_str(), WHISPER_SAMPLE_RATE/1000);
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return 8;
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}
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if (wav.bitsPerSample != 16) {
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fprintf(stderr, "error: WAV file '%s' must be 16-bit\n", fname_inp.c_str());
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return 9;
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}
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const uint64_t n = wav_data.empty() ? wav.totalPCMFrameCount : wav_data.size()/(wav.channels*wav.bitsPerSample/8);
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std::vector<int16_t> pcm16;
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pcm16.resize(n*wav.channels);
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drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
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drwav_uninit(&wav);
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// convert to mono, float
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pcmf32.resize(n);
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if (wav.channels == 1) {
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for (uint64_t i = 0; i < n; i++) {
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pcmf32[i] = float(pcm16[i])/32768.0f;
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}
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} else {
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for (uint64_t i = 0; i < n; i++) {
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pcmf32[i] = float(pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
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}
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}
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if (params.diarize) {
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// convert to stereo, float
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pcmf32s.resize(2);
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pcmf32s[0].resize(n);
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pcmf32s[1].resize(n);
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for (uint64_t i = 0; i < n; i++) {
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pcmf32s[0][i] = float(pcm16[2*i])/32768.0f;
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pcmf32s[1][i] = float(pcm16[2*i + 1])/32768.0f;
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}
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}
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}
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// print system information
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{
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fprintf(stderr, "\n");
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fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
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params.n_threads*params.n_processors, std::thread::hardware_concurrency(), whisper_print_system_info());
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}
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// print some info about the processing
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{
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||||||
|
fprintf(stderr, "\n");
|
||||||
|
if (!whisper_is_multilingual(ctx)) {
|
||||||
|
if (params.language != "en" || params.translate) {
|
||||||
|
params.language = "en";
|
||||||
|
params.translate = false;
|
||||||
|
fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, timestamps = %d ...\n",
|
||||||
|
__func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE,
|
||||||
|
params.n_threads, params.n_processors,
|
||||||
|
params.language.c_str(),
|
||||||
|
params.translate ? "translate" : "transcribe",
|
||||||
|
params.no_timestamps ? 0 : 1);
|
||||||
|
|
||||||
|
fprintf(stderr, "\n");
|
||||||
|
}
|
||||||
|
|
||||||
|
// run the inference
|
||||||
|
{
|
||||||
|
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
|
||||||
|
|
||||||
|
wparams.strategy = params.beam_size > 1 ? WHISPER_SAMPLING_BEAM_SEARCH : WHISPER_SAMPLING_GREEDY;
|
||||||
|
|
||||||
|
wparams.print_realtime = false;
|
||||||
|
wparams.print_progress = params.print_progress;
|
||||||
|
wparams.print_timestamps = !params.no_timestamps;
|
||||||
|
wparams.print_special = params.print_special;
|
||||||
|
wparams.translate = params.translate;
|
||||||
|
wparams.language = params.language.c_str();
|
||||||
|
wparams.n_threads = params.n_threads;
|
||||||
|
wparams.n_max_text_ctx = params.max_context >= 0 ? params.max_context : wparams.n_max_text_ctx;
|
||||||
|
wparams.offset_ms = params.offset_t_ms;
|
||||||
|
wparams.duration_ms = params.duration_ms;
|
||||||
|
|
||||||
|
wparams.token_timestamps = params.output_wts || params.max_len > 0;
|
||||||
|
wparams.thold_pt = params.word_thold;
|
||||||
|
wparams.entropy_thold = params.entropy_thold;
|
||||||
|
wparams.logprob_thold = params.logprob_thold;
|
||||||
|
wparams.max_len = params.output_wts && params.max_len == 0 ? 60 : params.max_len;
|
||||||
|
|
||||||
|
wparams.speed_up = params.speed_up;
|
||||||
|
|
||||||
|
wparams.greedy.best_of = params.best_of;
|
||||||
|
wparams.beam_search.beam_size = params.beam_size;
|
||||||
|
|
||||||
|
wparams.prompt_tokens = prompt_tokens.empty() ? nullptr : prompt_tokens.data();
|
||||||
|
wparams.prompt_n_tokens = prompt_tokens.empty() ? 0 : prompt_tokens.size();
|
||||||
|
|
||||||
|
whisper_print_user_data user_data = { ¶ms, &pcmf32s };
|
||||||
|
|
||||||
|
// this callback is called on each new segment
|
||||||
|
if (!wparams.print_realtime) {
|
||||||
|
wparams.new_segment_callback = whisper_print_segment_callback;
|
||||||
|
wparams.new_segment_callback_user_data = &user_data;
|
||||||
|
}
|
||||||
|
|
||||||
|
// example for abort mechanism
|
||||||
|
// in this example, we do not abort the processing, but we could if the flag is set to true
|
||||||
|
// the callback is called before every encoder run - if it returns false, the processing is aborted
|
||||||
|
{
|
||||||
|
static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
|
||||||
|
|
||||||
|
wparams.encoder_begin_callback = [](struct whisper_context * /*ctx*/, void * user_data) {
|
||||||
|
bool is_aborted = *(bool*)user_data;
|
||||||
|
return !is_aborted;
|
||||||
|
};
|
||||||
|
wparams.encoder_begin_callback_user_data = &is_aborted;
|
||||||
|
}
|
||||||
|
|
||||||
|
if (whisper_full_parallel(ctx, wparams, pcmf32.data(), pcmf32.size(), params.n_processors) != 0) {
|
||||||
|
fprintf(stderr, "failed to process audio\n");
|
||||||
|
return 10;
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
const int n_segments = whisper_full_n_segments(ctx);
|
||||||
|
result.resize(n_segments);
|
||||||
|
for (int i = 0; i < n_segments; ++i) {
|
||||||
|
const char * text = whisper_full_get_segment_text(ctx, i);
|
||||||
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
||||||
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
||||||
|
|
||||||
|
result[i].emplace_back(to_timestamp(t0, true));
|
||||||
|
result[i].emplace_back(to_timestamp(t1, true));
|
||||||
|
result[i].emplace_back(text);
|
||||||
|
}
|
||||||
|
|
||||||
|
whisper_print_timings(ctx);
|
||||||
|
whisper_free(ctx);
|
||||||
|
|
||||||
|
return 0;
|
||||||
|
}
|
||||||
|
|
||||||
|
Napi::Object whisper(const Napi::CallbackInfo& info) {
|
||||||
|
Napi::Env env = info.Env();
|
||||||
|
if (info.Length() <= 0 || !info[0].IsObject()) {
|
||||||
|
Napi::TypeError::New(env, "object expected").ThrowAsJavaScriptException();
|
||||||
|
}
|
||||||
|
whisper_params params;
|
||||||
|
std::vector<std::vector<std::string>> result;
|
||||||
|
|
||||||
|
Napi::Object whisper_params = info[0].As<Napi::Object>();
|
||||||
|
std::string language = whisper_params.Get("language").As<Napi::String>();
|
||||||
|
std::string model = whisper_params.Get("model").As<Napi::String>();
|
||||||
|
std::string input = whisper_params.Get("fname_inp").As<Napi::String>();
|
||||||
|
|
||||||
|
params.language = language;
|
||||||
|
params.model = model;
|
||||||
|
params.fname_inp.emplace_back(input);
|
||||||
|
|
||||||
|
// run model
|
||||||
|
run(params, result);
|
||||||
|
|
||||||
|
fprintf(stderr, "RESULT:\n");
|
||||||
|
for (auto sentence:result) {
|
||||||
|
fprintf(stderr, "t0: %s, t1: %s, content: %s \n",
|
||||||
|
sentence[0].c_str(), sentence[1].c_str(), sentence[2].c_str());
|
||||||
|
}
|
||||||
|
|
||||||
|
Napi::Object res = Napi::Array::New(env, result.size());
|
||||||
|
for (u_int32_t i = 0; i < result.size(); ++i) {
|
||||||
|
Napi::Object tmp = Napi::Array::New(env, 3);
|
||||||
|
for (u_int32_t j = 0; j < 3; ++j) {
|
||||||
|
tmp[j] = Napi::String::New(env, result[i][j]);
|
||||||
|
}
|
||||||
|
res[i] = tmp;
|
||||||
|
}
|
||||||
|
|
||||||
|
return res;
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
Napi::Object Init(Napi::Env env, Napi::Object exports) {
|
||||||
|
exports.Set(
|
||||||
|
Napi::String::New(env, "whisper"),
|
||||||
|
Napi::Function::New(env, whisper)
|
||||||
|
);
|
||||||
|
return exports;
|
||||||
|
}
|
||||||
|
|
||||||
|
NODE_API_MODULE(whisper, Init);
|
||||||
27
examples/addon.node/index.js
Normal file
27
examples/addon.node/index.js
Normal file
@ -0,0 +1,27 @@
|
|||||||
|
const path = require('path');
|
||||||
|
const { whisper } = require(path.join(__dirname, '../../build/Release/whisper-addon'));
|
||||||
|
|
||||||
|
const whisperParams = {
|
||||||
|
language: 'en',
|
||||||
|
model: path.join(__dirname, '../../models/ggml-base.en.bin'),
|
||||||
|
fname_inp: '',
|
||||||
|
};
|
||||||
|
|
||||||
|
const arguments = process.argv.slice(2);
|
||||||
|
const params = Object.fromEntries(
|
||||||
|
arguments.reduce((pre, item) => {
|
||||||
|
if (item.startsWith("--")) {
|
||||||
|
return [...pre, item.slice(2).split("=")];
|
||||||
|
}
|
||||||
|
return pre;
|
||||||
|
}, []),
|
||||||
|
);
|
||||||
|
|
||||||
|
for (const key in params) {
|
||||||
|
if (whisperParams.hasOwnProperty(key)) {
|
||||||
|
whisperParams[key] = params[key];
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
console.log('whisperParams =', whisperParams);
|
||||||
|
console.log(whisper(whisperParams));
|
||||||
12
examples/addon.node/package.json
Normal file
12
examples/addon.node/package.json
Normal file
@ -0,0 +1,12 @@
|
|||||||
|
{
|
||||||
|
"name": "whisper-addon",
|
||||||
|
"version": "0.0.0",
|
||||||
|
"description": "",
|
||||||
|
"main": "index.js",
|
||||||
|
"author": "Qanhe Chen",
|
||||||
|
"license": "MIT",
|
||||||
|
"devDependencies": {
|
||||||
|
"cmake-js": "^7.1.1",
|
||||||
|
"node-addon-api": "^5.0.0"
|
||||||
|
}
|
||||||
|
}
|
||||||
Loading…
Reference in New Issue
Block a user