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whisper.cpp/main.cpp

361 lines
12 KiB

#include "whisper.h"
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// third-party utilities
// use your favorite implementations
#define DR_WAV_IMPLEMENTATION
#include "dr_wav.h"
#include <cassert>
#include <cstdio>
#include <string>
#include <thread>
#include <vector>
int64_t get_time_us() {
return std::chrono::duration_cast<std::chrono::microseconds>(
std::chrono::high_resolution_clock::now().time_since_epoch()).count();
}
// 500 -> 00:05.000
// 6000 -> 01:00.000
std::string to_timestamp(int64_t t) {
int64_t sec = t/100;
int64_t msec = t - sec*100;
int64_t min = sec/60;
sec = sec - min*60;
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char buf[32];
snprintf(buf, sizeof(buf), "%02d:%02d.%03d", (int) min, (int) sec, (int) msec);
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return std::string(buf);
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}
struct whisper_result {
whisper_token id;
int64_t t;
};
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// command-line parameters
struct whisper_params {
int32_t seed = -1; // RNG seed, not used currently
int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency());
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bool verbose = false;
bool translate = false;
bool print_special_tokens = false;
bool no_timestamps = false;
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std::string language = "en";
std::string model = "models/ggml-base.en.bin";
std::string fname_inp = "samples/jfk.wav";
};
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
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bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
for (int i = 1; i < argc; i++) {
std::string arg = argv[i];
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if (arg == "-s" || arg == "--seed") {
params.seed = std::stoi(argv[++i]);
} else if (arg == "-t" || arg == "--threads") {
params.n_threads = std::stoi(argv[++i]);
} else if (arg == "-v" || arg == "--verbose") {
params.verbose = true;
} else if (arg == "--translate") {
params.translate = true;
} else if (arg == "-l" || arg == "--language") {
params.language = argv[++i];
if (whisper_lang_id(params.language.c_str()) == -1) {
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
whisper_print_usage(argc, argv, params);
exit(0);
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}
} else if (arg == "-ps" || arg == "--print_special") {
params.print_special_tokens = true;
} else if (arg == "-nt" || arg == "--no_timestamps") {
params.no_timestamps = true;
} else if (arg == "-m" || arg == "--model") {
params.model = argv[++i];
} else if (arg == "-f" || arg == "--file") {
params.fname_inp = argv[++i];
} else if (arg == "-h" || arg == "--help") {
whisper_print_usage(argc, argv, params);
exit(0);
} else {
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
whisper_print_usage(argc, argv, params);
exit(0);
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}
}
return true;
}
void whisper_print_usage(int argc, char ** argv, const whisper_params & params) {
fprintf(stderr, "\n");
fprintf(stderr, "usage: %s [options]\n", argv[0]);
fprintf(stderr, "\n");
fprintf(stderr, "options:\n");
fprintf(stderr, " -h, --help show this help message and exit\n");
fprintf(stderr, " -s SEED, --seed SEED RNG seed (default: -1)\n");
fprintf(stderr, " -t N, --threads N number of threads to use during computation (default: %d)\n", params.n_threads);
fprintf(stderr, " -v, --verbose verbose output\n");
fprintf(stderr, " --translate translate from source language to english\n");
fprintf(stderr, " -ps, --print_special print special tokens\n");
fprintf(stderr, " -nt, --no_timestamps do not print timestamps\n");
fprintf(stderr, " -l LANG, --language LANG spoken language (default: %s)\n", params.language.c_str());
fprintf(stderr, " -m FNAME, --model FNAME model path (default: %s)\n", params.model.c_str());
fprintf(stderr, " -f FNAME, --file FNAME input WAV file path (default: %s)\n", params.fname_inp.c_str());
fprintf(stderr, "\n");
}
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int main(int argc, char ** argv) {
const int64_t t_main_start_us = get_time_us();
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whisper_params params;
if (whisper_params_parse(argc, argv, params) == false) {
return 1;
}
if (params.seed < 0) {
params.seed = time(NULL);
}
// whisper init
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struct whisper_context * ctx = whisper_init(params.model.c_str());
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// WAV input
std::vector<float> pcmf32;
{
drwav wav;
if (!drwav_init_file(&wav, params.fname_inp.c_str(), NULL)) {
fprintf(stderr, "%s: failed to open WAV file '%s' - check your input\n", argv[0], params.fname_inp.c_str());
whisper_print_usage(argc, argv, {});
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return 2;
}
if (wav.channels != 1 && wav.channels != 2) {
fprintf(stderr, "%s: WAV file '%s' must be mono or stereo\n", argv[0], params.fname_inp.c_str());
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return 3;
}
if (wav.sampleRate != SAMPLE_RATE) {
fprintf(stderr, "%s: WAV file '%s' must be 16 kHz\n", argv[0], params.fname_inp.c_str());
return 4;
}
if (wav.bitsPerSample != 16) {
fprintf(stderr, "%s: WAV file '%s' must be 16-bit\n", argv[0], params.fname_inp.c_str());
return 5;
}
int n = wav.totalPCMFrameCount;
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std::vector<int16_t> pcm16;
pcm16.resize(n*wav.channels);
drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
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drwav_uninit(&wav);
// convert to mono, float
pcmf32.resize(n);
if (wav.channels == 1) {
for (size_t i = 0; i < n; i++) {
pcmf32[i] = float(pcm16[i])/32768.0f;
}
} else {
for (size_t i = 0; i < n; i++) {
pcmf32[i] = float(pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
}
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}
}
// compute log mel spectrogram
if (whisper_pcm_to_mel(ctx, pcmf32.data(), pcmf32.size(), params.n_threads) != 0) {
fprintf(stderr, "%s: failed to compute log mel spectrogram\n", argv[0]);
return 6;
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}
// print some info about the processing
{
printf("\n");
if (!whisper_is_multilingual(ctx)) {
if (params.language != "en" || params.translate) {
params.language = "en";
params.translate = false;
printf("%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
}
}
printf("%s: processing %d samples (%.1f sec), %d threads, lang = %s, task = %s, timestamps = %d ...\n",
__func__, int(pcmf32.size()), float(pcmf32.size())/SAMPLE_RATE, params.n_threads,
params.language.c_str(),
params.translate ? "translate" : "transcribe",
params.no_timestamps ? 0 : 1);
printf("\n");
}
// the accumulated text context so far
std::vector<whisper_token> prompt_past = { };
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// these tokens determine the task that will be performed
std::vector<whisper_token> prompt_init = { whisper_token_sot(ctx) };
if (whisper_is_multilingual(ctx)) {
prompt_init.push_back(whisper_token_sot(ctx) + 1 + whisper_lang_id(params.language.c_str()));
if (params.translate) {
prompt_init.push_back(whisper_token_translate());
} else {
prompt_init.push_back(whisper_token_transcribe());
}
}
// the generated text including timestamps
//std::vector<whisper_result> result_all;
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// main loop
int seek = 0;
while (true) {
if (seek >= whisper_n_len(ctx)) {
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break;
}
// encode audio features starting at offset seek
if (whisper_encode(ctx, seek, params.n_threads) != 0) {
fprintf(stderr, "%s: failed to encode\n", __func__);
return 7;
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}
std::vector<whisper_token> prompt;
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int n_past = 0;
// if we have already generated some text, use it as a prompt to condition the next generation
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if (prompt_past.size() > 0) {
int n_take = std::min(whisper_n_text_ctx(ctx)/2, int(prompt_past.size()));
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prompt = { whisper_token_prev(ctx) };
prompt.insert(prompt.begin() + 1, prompt_past.end() - n_take, prompt_past.end());
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prompt_past.clear();
prompt_past.insert(prompt_past.end(), prompt.begin() + 1, prompt.end());
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}
prompt.insert(prompt.end(), prompt_init.begin(), prompt_init.end());
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bool done = false;
int seek_delta = 100*CHUNK_SIZE;
whisper_token last_id = 0;
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// print the prompt
//printf("\n\n");
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//for (int i = 0; i < prompt.size(); i++) {
// printf("%s: prompt[%d] = %s\n", __func__, i, vocab.id_to_token[prompt[i]].c_str());
//}
//printf("\n\n");
// the accumulated transcription in the current interation
int result_len = 0;
std::vector<whisper_result> result_cur;
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for (int i = 0; i < whisper_n_text_ctx(ctx)/2 - 4; ++i) {
if (whisper_decode(ctx, prompt.data(), prompt.size(), n_past, params.n_threads) != 0) {
fprintf(stderr, "%s: failed to decode\n", __func__);
return 8;
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}
n_past += prompt.size();
prompt.clear();
// very basic greedy sampling strategy:
//
// - always take the most probable token
//
// more sophisticated sampling strategies could be implemented here, but we keep it simple
// feel free to experiment!
//
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{
const int n_vocab = whisper_n_vocab(ctx);
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whisper_token id = 0;
whisper_token tid = whisper_token_beg(ctx);
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id = whisper_sample_best(ctx, result_len == 0);
if (i > 0) {
tid = whisper_sample_timestamp(ctx);
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}
// update sliding window
if (id > whisper_token_beg(ctx)) {
seek_delta = 2*(id - whisper_token_beg(ctx));
result_len = i + 1;
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}
last_id = id;
// add it to the context
prompt.push_back(id);
result_cur.push_back({ id, seek + 2*(tid - whisper_token_beg(ctx)) });
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//printf("%s: %s\n", __func__, vocab.id_to_token[id].c_str());
// end of text token
if (id == whisper_token_eot(ctx)) {
break;
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}
}
if (done) {
break;
}
}
result_cur.resize(result_len);
//result_all.insert(result_all.end(), result_cur.begin(), result_cur.end());
for (const auto & r : result_cur) {
prompt_past.push_back(r.id);
}
// print the text from this iteration
if (result_cur.size() > 0) {
auto t0 = result_cur.front().t;
std::string text = "";
for (int i = 0; i < result_cur.size(); i++) {
if (params.print_special_tokens == false && result_cur[i].id >= whisper_token_eot(ctx)) {
} else {
text += whisper_token_to_str(ctx, result_cur[i].id);
}
if (result_cur[i].id > whisper_token_beg(ctx)) {
const auto t1 = result_cur[i].t;
if (!text.empty()) {
if (params.no_timestamps) {
printf ("%s", text.c_str());
fflush(stdout);
} else {
printf ("[%s --> %s] %s\n", to_timestamp(t0).c_str(), to_timestamp(t1).c_str(), text.c_str());
}
}
text = "";
while (result_cur[i].id > whisper_token_beg(ctx) && i < result_cur.size()) {
i++;
}
i--;
t0 = result_cur[i].t;
}
}
if (!text.empty()) {
printf ("[%s --> %s] %s\n", to_timestamp(t0).c_str(), to_timestamp(seek + seek_delta).c_str(), text.c_str());
}
}
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seek += seek_delta;
}
whisper_print_timings(ctx);
whisper_free(ctx);
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return 0;
}