--- /dev/null
+#include <string>
+#include <thread>
+#include <vector>
+#include <cmath>
+
+#include "napi.h"
+
+#define DR_WAV_IMPLEMENTATION
+#include "dr_wav.h"
+
+#include "whisper.h"
+
+struct whisper_params {
+ int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
+ int32_t n_processors = 1;
+ int32_t offset_t_ms = 0;
+ int32_t offset_n = 0;
+ int32_t duration_ms = 0;
+ int32_t max_context = -1;
+ int32_t max_len = 0;
+ int32_t best_of = 5;
+ int32_t beam_size = -1;
+
+ float word_thold = 0.01f;
+ float entropy_thold = 2.4f;
+ float logprob_thold = -1.0f;
+
+ bool speed_up = false;
+ bool translate = false;
+ bool diarize = false;
+ bool output_txt = false;
+ bool output_vtt = false;
+ bool output_srt = false;
+ bool output_wts = false;
+ bool output_csv = false;
+ bool print_special = false;
+ bool print_colors = false;
+ bool print_progress = false;
+ bool no_timestamps = false;
+
+ std::string language = "en";
+ std::string prompt;
+ std::string model = "../../ggml-large.bin";
+
+ std::vector<std::string> fname_inp = {};
+ std::vector<std::string> fname_outp = {};
+};
+
+struct whisper_print_user_data {
+ const whisper_params * params;
+
+ const std::vector<std::vector<float>> * pcmf32s;
+};
+
+// 500 -> 00:05.000
+// 6000 -> 01:00.000
+std::string to_timestamp(int64_t t, bool comma = false) {
+ int64_t msec = t * 10;
+ int64_t hr = msec / (1000 * 60 * 60);
+ msec = msec - hr * (1000 * 60 * 60);
+ int64_t min = msec / (1000 * 60);
+ msec = msec - min * (1000 * 60);
+ int64_t sec = msec / 1000;
+ msec = msec - sec * 1000;
+
+ char buf[32];
+ snprintf(buf, sizeof(buf), "%02d:%02d:%02d%s%03d", (int) hr, (int) min, (int) sec, comma ? "," : ".", (int) msec);
+
+ return std::string(buf);
+}
+
+int timestamp_to_sample(int64_t t, int n_samples) {
+ return std::max(0, std::min((int) n_samples - 1, (int) ((t*WHISPER_SAMPLE_RATE)/100)));
+}
+
+void whisper_print_segment_callback(struct whisper_context * ctx, int n_new, void * user_data) {
+ const auto & params = *((whisper_print_user_data *) user_data)->params;
+ const auto & pcmf32s = *((whisper_print_user_data *) user_data)->pcmf32s;
+
+ const int n_segments = whisper_full_n_segments(ctx);
+
+ std::string speaker = "";
+
+ int64_t t0;
+ int64_t t1;
+
+ // print the last n_new segments
+ const int s0 = n_segments - n_new;
+
+ if (s0 == 0) {
+ printf("\n");
+ }
+
+ for (int i = s0; i < n_segments; i++) {
+ if (!params.no_timestamps || params.diarize) {
+ t0 = whisper_full_get_segment_t0(ctx, i);
+ t1 = whisper_full_get_segment_t1(ctx, i);
+ }
+
+ if (!params.no_timestamps) {
+ printf("[%s --> %s] ", to_timestamp(t0).c_str(), to_timestamp(t1).c_str());
+ }
+
+ if (params.diarize && pcmf32s.size() == 2) {
+ const int64_t n_samples = pcmf32s[0].size();
+
+ const int64_t is0 = timestamp_to_sample(t0, n_samples);
+ const int64_t is1 = timestamp_to_sample(t1, n_samples);
+
+ double energy0 = 0.0f;
+ double energy1 = 0.0f;
+
+ for (int64_t j = is0; j < is1; j++) {
+ energy0 += fabs(pcmf32s[0][j]);
+ energy1 += fabs(pcmf32s[1][j]);
+ }
+
+ if (energy0 > 1.1*energy1) {
+ speaker = "(speaker 0)";
+ } else if (energy1 > 1.1*energy0) {
+ speaker = "(speaker 1)";
+ } else {
+ speaker = "(speaker ?)";
+ }
+
+ //printf("is0 = %lld, is1 = %lld, energy0 = %f, energy1 = %f, %s\n", is0, is1, energy0, energy1, speaker.c_str());
+ }
+
+ // colorful print bug
+ //
+ const char * text = whisper_full_get_segment_text(ctx, i);
+ printf("%s%s", speaker.c_str(), text);
+
+
+ // with timestamps or speakers: each segment on new line
+ if (!params.no_timestamps || params.diarize) {
+ printf("\n");
+ }
+
+ fflush(stdout);
+ }
+}
+
+int run(whisper_params ¶ms, std::vector<std::vector<std::string>> &result) {
+
+ if (params.fname_inp.empty()) {
+ fprintf(stderr, "error: no input files specified\n");
+ return 2;
+ }
+
+ if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) {
+ fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
+ exit(0);
+ }
+
+ // whisper init
+
+ struct whisper_context * ctx = whisper_init_from_file(params.model.c_str());
+
+ if (ctx == nullptr) {
+ fprintf(stderr, "error: failed to initialize whisper context\n");
+ return 3;
+ }
+
+ // initial prompt
+ std::vector<whisper_token> prompt_tokens;
+
+ if (!params.prompt.empty()) {
+ prompt_tokens.resize(1024);
+ prompt_tokens.resize(whisper_tokenize(ctx, params.prompt.c_str(), prompt_tokens.data(), prompt_tokens.size()));
+
+ fprintf(stderr, "\n");
+ fprintf(stderr, "initial prompt: '%s'\n", params.prompt.c_str());
+ fprintf(stderr, "initial tokens: [ ");
+ for (int i = 0; i < (int) prompt_tokens.size(); ++i) {
+ fprintf(stderr, "%d ", prompt_tokens[i]);
+ }
+ fprintf(stderr, "]\n");
+ }
+
+ for (int f = 0; f < (int) params.fname_inp.size(); ++f) {
+ const auto fname_inp = params.fname_inp[f];
+ const auto fname_outp = f < (int)params.fname_outp.size() && !params.fname_outp[f].empty() ? params.fname_outp[f] : params.fname_inp[f];
+
+ std::vector<float> pcmf32; // mono-channel F32 PCM
+ std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
+
+ // WAV input
+ {
+ drwav wav;
+ std::vector<uint8_t> wav_data; // used for pipe input from stdin
+
+ if (fname_inp == "-") {
+ {
+ uint8_t buf[1024];
+ while (true)
+ {
+ const size_t n = fread(buf, 1, sizeof(buf), stdin);
+ if (n == 0) {
+ break;
+ }
+ wav_data.insert(wav_data.end(), buf, buf + n);
+ }
+ }
+
+ if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
+ fprintf(stderr, "error: failed to open WAV file from stdin\n");
+ return 4;
+ }
+
+ fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
+ }
+ else if (drwav_init_file(&wav, fname_inp.c_str(), nullptr) == false) {
+ fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
+ return 5;
+ }
+
+ if (wav.channels != 1 && wav.channels != 2) {
+ fprintf(stderr, "error: WAV file '%s' must be mono or stereo\n", fname_inp.c_str());
+ return 6;
+ }
+
+ if (params.diarize && wav.channels != 2 && params.no_timestamps == false) {
+ fprintf(stderr, "error: WAV file '%s' must be stereo for diarization and timestamps have to be enabled\n", fname_inp.c_str());
+ return 6;
+ }
+
+ if (wav.sampleRate != WHISPER_SAMPLE_RATE) {
+ fprintf(stderr, "error: WAV file '%s' must be %i kHz\n", fname_inp.c_str(), WHISPER_SAMPLE_RATE/1000);
+ return 8;
+ }
+
+ if (wav.bitsPerSample != 16) {
+ fprintf(stderr, "error: WAV file '%s' must be 16-bit\n", fname_inp.c_str());
+ return 9;
+ }
+
+ const uint64_t n = wav_data.empty() ? wav.totalPCMFrameCount : wav_data.size()/(wav.channels*wav.bitsPerSample/8);
+
+ std::vector<int16_t> pcm16;
+ pcm16.resize(n*wav.channels);
+ drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
+ drwav_uninit(&wav);
+
+ // convert to mono, float
+ pcmf32.resize(n);
+ if (wav.channels == 1) {
+ for (uint64_t i = 0; i < n; i++) {
+ pcmf32[i] = float(pcm16[i])/32768.0f;
+ }
+ } else {
+ for (uint64_t i = 0; i < n; i++) {
+ pcmf32[i] = float(pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
+ }
+ }
+
+ if (params.diarize) {
+ // convert to stereo, float
+ pcmf32s.resize(2);
+
+ pcmf32s[0].resize(n);
+ pcmf32s[1].resize(n);
+ for (uint64_t i = 0; i < n; i++) {
+ pcmf32s[0][i] = float(pcm16[2*i])/32768.0f;
+ pcmf32s[1][i] = float(pcm16[2*i + 1])/32768.0f;
+ }
+ }
+ }
+
+ // print system information
+ {
+ fprintf(stderr, "\n");
+ fprintf(stderr, "system_info: n_threads = %d / %d | %s\n",
+ params.n_threads*params.n_processors, std::thread::hardware_concurrency(), whisper_print_system_info());
+ }
+
+ // print some info about the processing
+ {
+ 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);
overview / pkg / ggml / sources / whisper.cpp / commitdiff