mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-19 04:37:51 +00:00
664 lines
28 KiB
C++
664 lines
28 KiB
C++
#include "common.h"
|
|
|
|
#include "whisper.h"
|
|
|
|
#include <cmath>
|
|
#include <fstream>
|
|
#include <cstdio>
|
|
#include <string>
|
|
#include <thread>
|
|
#include <vector>
|
|
|
|
// Terminal color map. 10 colors grouped in ranges [0.0, 0.1, ..., 0.9]
|
|
// Lowest is red, middle is yellow, highest is green.
|
|
const std::vector<std::string> k_colors = {
|
|
"\033[38;5;196m", "\033[38;5;202m", "\033[38;5;208m", "\033[38;5;214m", "\033[38;5;220m",
|
|
"\033[38;5;226m", "\033[38;5;190m", "\033[38;5;154m", "\033[38;5;118m", "\033[38;5;82m",
|
|
};
|
|
|
|
// 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)));
|
|
}
|
|
|
|
// helper function to replace substrings
|
|
void replace_all(std::string & s, const std::string & search, const std::string & replace) {
|
|
for (size_t pos = 0; ; pos += replace.length()) {
|
|
pos = s.find(search, pos);
|
|
if (pos == std::string::npos) break;
|
|
s.erase(pos, search.length());
|
|
s.insert(pos, replace);
|
|
}
|
|
}
|
|
|
|
// command-line parameters
|
|
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 = 2.40f;
|
|
float logprob_thold = -1.00f;
|
|
|
|
bool speed_up = false;
|
|
bool translate = false;
|
|
bool diarize = false;
|
|
bool split_on_word = false;
|
|
bool no_fallback = 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 = "models/ggml-base.en.bin";
|
|
|
|
std::vector<std::string> fname_inp = {};
|
|
std::vector<std::string> fname_out = {};
|
|
};
|
|
|
|
void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
|
|
|
|
bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
|
|
for (int i = 1; i < argc; i++) {
|
|
std::string arg = argv[i];
|
|
|
|
if (arg == "-"){
|
|
params.fname_inp.push_back(arg);
|
|
continue;
|
|
}
|
|
|
|
if (arg[0] != '-') {
|
|
params.fname_inp.push_back(arg);
|
|
continue;
|
|
}
|
|
|
|
if (arg == "-h" || arg == "--help") {
|
|
whisper_print_usage(argc, argv, params);
|
|
exit(0);
|
|
}
|
|
else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
|
|
else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(argv[++i]); }
|
|
else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(argv[++i]); }
|
|
else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(argv[++i]); }
|
|
else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(argv[++i]); }
|
|
else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(argv[++i]); }
|
|
else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
|
|
else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
|
|
else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
|
|
else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
|
|
else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
|
|
else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
|
|
else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
|
|
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
|
else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
|
|
else if (arg == "-sow" || arg == "--split-on-word") { params.split_on_word = true; }
|
|
else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
|
|
else if (arg == "-otxt" || arg == "--output-txt") { params.output_txt = true; }
|
|
else if (arg == "-ovtt" || arg == "--output-vtt") { params.output_vtt = true; }
|
|
else if (arg == "-osrt" || arg == "--output-srt") { params.output_srt = true; }
|
|
else if (arg == "-owts" || arg == "--output-words") { params.output_wts = true; }
|
|
else if (arg == "-ocsv" || arg == "--output-csv") { params.output_csv = true; }
|
|
else if (arg == "-of" || arg == "--output-file") { params.fname_out.emplace_back(argv[++i]); }
|
|
else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
|
|
else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
|
|
else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
|
|
else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
|
|
else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
|
|
else if ( arg == "--prompt") { params.prompt = argv[++i]; }
|
|
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
|
else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(argv[++i]); }
|
|
else {
|
|
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
|
whisper_print_usage(argc, argv, params);
|
|
exit(0);
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "usage: %s [options] file0.wav file1.wav ...\n", argv[0]);
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "options:\n");
|
|
fprintf(stderr, " -h, --help [default] show this help message and exit\n");
|
|
fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads);
|
|
fprintf(stderr, " -p N, --processors N [%-7d] number of processors to use during computation\n", params.n_processors);
|
|
fprintf(stderr, " -ot N, --offset-t N [%-7d] time offset in milliseconds\n", params.offset_t_ms);
|
|
fprintf(stderr, " -on N, --offset-n N [%-7d] segment index offset\n", params.offset_n);
|
|
fprintf(stderr, " -d N, --duration N [%-7d] duration of audio to process in milliseconds\n", params.duration_ms);
|
|
fprintf(stderr, " -mc N, --max-context N [%-7d] maximum number of text context tokens to store\n", params.max_context);
|
|
fprintf(stderr, " -ml N, --max-len N [%-7d] maximum segment length in characters\n", params.max_len);
|
|
fprintf(stderr, " -sow, --split-on-word [%-7s] split on word rather than on token\n", params.split_on_word ? "true" : "false");
|
|
fprintf(stderr, " -bo N, --best-of N [%-7d] number of best candidates to keep\n", params.best_of);
|
|
fprintf(stderr, " -bs N, --beam-size N [%-7d] beam size for beam search\n", params.beam_size);
|
|
fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold);
|
|
fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold);
|
|
fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold);
|
|
fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
|
|
fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
|
|
fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
|
|
fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
|
|
fprintf(stderr, " -otxt, --output-txt [%-7s] output result in a text file\n", params.output_txt ? "true" : "false");
|
|
fprintf(stderr, " -ovtt, --output-vtt [%-7s] output result in a vtt file\n", params.output_vtt ? "true" : "false");
|
|
fprintf(stderr, " -osrt, --output-srt [%-7s] output result in a srt file\n", params.output_srt ? "true" : "false");
|
|
fprintf(stderr, " -owts, --output-words [%-7s] output script for generating karaoke video\n", params.output_wts ? "true" : "false");
|
|
fprintf(stderr, " -ocsv, --output-csv [%-7s] output result in a CSV file\n", params.output_csv ? "true" : "false");
|
|
fprintf(stderr, " -of FNAME, --output-file FNAME [%-7s] output file path (without file extension)\n", "");
|
|
fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
|
|
fprintf(stderr, " -pc, --print-colors [%-7s] print colors\n", params.print_colors ? "true" : "false");
|
|
fprintf(stderr, " -pp, --print-progress [%-7s] print progress\n", params.print_progress ? "true" : "false");
|
|
fprintf(stderr, " -nt, --no-timestamps [%-7s] do not print timestamps\n", params.no_timestamps ? "false" : "true");
|
|
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str());
|
|
fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt\n", params.prompt.c_str());
|
|
fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
|
|
fprintf(stderr, " -f FNAME, --file FNAME [%-7s] input WAV file path\n", "");
|
|
fprintf(stderr, "\n");
|
|
}
|
|
|
|
struct whisper_print_user_data {
|
|
const whisper_params * params;
|
|
|
|
const std::vector<std::vector<float>> * pcmf32s;
|
|
};
|
|
|
|
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());
|
|
}
|
|
|
|
if (params.print_colors) {
|
|
for (int j = 0; j < whisper_full_n_tokens(ctx, i); ++j) {
|
|
if (params.print_special == false) {
|
|
const whisper_token id = whisper_full_get_token_id(ctx, i, j);
|
|
if (id >= whisper_token_eot(ctx)) {
|
|
continue;
|
|
}
|
|
}
|
|
|
|
const char * text = whisper_full_get_token_text(ctx, i, j);
|
|
const float p = whisper_full_get_token_p (ctx, i, j);
|
|
|
|
const int col = std::max(0, std::min((int) k_colors.size() - 1, (int) (std::pow(p, 3)*float(k_colors.size()))));
|
|
|
|
printf("%s%s%s%s", speaker.c_str(), k_colors[col].c_str(), text, "\033[0m");
|
|
}
|
|
} else {
|
|
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);
|
|
}
|
|
}
|
|
|
|
bool output_txt(struct whisper_context * ctx, const char * fname) {
|
|
std::ofstream fout(fname);
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
for (int i = 0; i < n_segments; ++i) {
|
|
const char * text = whisper_full_get_segment_text(ctx, i);
|
|
fout << text << "\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool output_vtt(struct whisper_context * ctx, const char * fname) {
|
|
std::ofstream fout(fname);
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
fout << "WEBVTT\n\n";
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
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);
|
|
|
|
fout << to_timestamp(t0) << " --> " << to_timestamp(t1) << "\n";
|
|
fout << text << "\n\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool output_srt(struct whisper_context * ctx, const char * fname, const whisper_params & params) {
|
|
std::ofstream fout(fname);
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
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);
|
|
|
|
fout << i + 1 + params.offset_n << "\n";
|
|
fout << to_timestamp(t0, true) << " --> " << to_timestamp(t1, true) << "\n";
|
|
fout << text << "\n\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool output_csv(struct whisper_context * ctx, const char * fname) {
|
|
std::ofstream fout(fname);
|
|
if (!fout.is_open()) {
|
|
fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname);
|
|
return false;
|
|
}
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
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);
|
|
|
|
//need to multiply times returned from whisper_full_get_segment_t{0,1}() by 10 to get milliseconds.
|
|
fout << 10 * t0 << ", " << 10 * t1 << ", \"" << text << "\"\n";
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
// karaoke video generation
|
|
// outputs a bash script that uses ffmpeg to generate a video with the subtitles
|
|
// TODO: font parameter adjustments
|
|
bool output_wts(struct whisper_context * ctx, const char * fname, const char * fname_inp, const whisper_params & /*params*/, float t_sec) {
|
|
std::ofstream fout(fname);
|
|
|
|
fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname);
|
|
|
|
// TODO: become parameter
|
|
static const char * font = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
|
|
|
|
fout << "#!/bin/bash" << "\n";
|
|
fout << "\n";
|
|
|
|
fout << "ffmpeg -i " << fname_inp << " -f lavfi -i color=size=1200x120:duration=" << t_sec << ":rate=25:color=black -vf \"";
|
|
|
|
for (int i = 0; i < whisper_full_n_segments(ctx); i++) {
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
|
|
const int n = whisper_full_n_tokens(ctx, i);
|
|
|
|
std::vector<whisper_token_data> tokens(n);
|
|
for (int j = 0; j < n; ++j) {
|
|
tokens[j] = whisper_full_get_token_data(ctx, i, j);
|
|
}
|
|
|
|
if (i > 0) {
|
|
fout << ",";
|
|
}
|
|
|
|
// background text
|
|
fout << "drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='':enable='between(t," << t0/100.0 << "," << t0/100.0 << ")'";
|
|
|
|
bool is_first = true;
|
|
|
|
for (int j = 0; j < n; ++j) {
|
|
const auto & token = tokens[j];
|
|
|
|
if (tokens[j].id >= whisper_token_eot(ctx)) {
|
|
continue;
|
|
}
|
|
|
|
std::string txt_bg;
|
|
std::string txt_fg; // highlight token
|
|
std::string txt_ul; // underline
|
|
|
|
txt_bg = "> ";
|
|
txt_fg = "> ";
|
|
txt_ul = "\\ \\ ";
|
|
|
|
{
|
|
for (int k = 0; k < n; ++k) {
|
|
const auto & token2 = tokens[k];
|
|
|
|
if (tokens[k].id >= whisper_token_eot(ctx)) {
|
|
continue;
|
|
}
|
|
|
|
const std::string txt = whisper_token_to_str(ctx, token2.id);
|
|
|
|
txt_bg += txt;
|
|
|
|
if (k == j) {
|
|
for (int l = 0; l < (int) txt.size(); ++l) {
|
|
txt_fg += txt[l];
|
|
txt_ul += "_";
|
|
}
|
|
txt_fg += "|";
|
|
} else {
|
|
for (int l = 0; l < (int) txt.size(); ++l) {
|
|
txt_fg += "\\ ";
|
|
txt_ul += "\\ ";
|
|
}
|
|
}
|
|
}
|
|
|
|
::replace_all(txt_bg, "'", "\u2019");
|
|
::replace_all(txt_bg, "\"", "\\\"");
|
|
::replace_all(txt_fg, "'", "\u2019");
|
|
::replace_all(txt_fg, "\"", "\\\"");
|
|
}
|
|
|
|
if (is_first) {
|
|
// background text
|
|
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='" << txt_bg << "':enable='between(t," << t0/100.0 << "," << t1/100.0 << ")'";
|
|
is_first = false;
|
|
}
|
|
|
|
// foreground text
|
|
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=lightgreen:x=(w-text_w)/2+8:y=h/2:text='" << txt_fg << "':enable='between(t," << token.t0/100.0 << "," << token.t1/100.0 << ")'";
|
|
|
|
// underline
|
|
fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=lightgreen:x=(w-text_w)/2+8:y=h/2+16:text='" << txt_ul << "':enable='between(t," << token.t0/100.0 << "," << token.t1/100.0 << ")'";
|
|
}
|
|
}
|
|
|
|
fout << "\" -c:v libx264 -pix_fmt yuv420p -y " << fname_inp << ".mp4" << "\n";
|
|
|
|
fout << "\n\n";
|
|
fout << "echo \"Your video has been saved to " << fname_inp << ".mp4\"" << "\n";
|
|
fout << "\n";
|
|
fout << "echo \" ffplay " << fname_inp << ".mp4\"\n";
|
|
fout << "\n";
|
|
|
|
fout.close();
|
|
|
|
fprintf(stderr, "%s: run 'source %s' to generate karaoke video\n", __func__, fname);
|
|
|
|
return true;
|
|
}
|
|
|
|
int main(int argc, char ** argv) {
|
|
whisper_params params;
|
|
|
|
if (whisper_params_parse(argc, argv, params) == false) {
|
|
return 1;
|
|
}
|
|
|
|
if (params.fname_inp.empty()) {
|
|
fprintf(stderr, "error: no input files specified\n");
|
|
whisper_print_usage(argc, argv, params);
|
|
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());
|
|
whisper_print_usage(argc, argv, params);
|
|
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_out = f < (int) params.fname_out.size() && !params.fname_out[f].empty() ? params.fname_out[f] : params.fname_inp[f];
|
|
|
|
std::vector<float> pcmf32; // mono-channel F32 PCM
|
|
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
|
|
|
|
if (!::read_wav(fname_inp, pcmf32, pcmf32s, params.diarize)) {
|
|
fprintf(stderr, "error: failed to read WAV file '%s'\n", fname_inp.c_str());
|
|
continue;
|
|
}
|
|
|
|
// 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.max_len = params.output_wts && params.max_len == 0 ? 60 : params.max_len;
|
|
wparams.split_on_word = params.split_on_word;
|
|
|
|
wparams.speed_up = params.speed_up;
|
|
|
|
wparams.prompt_tokens = prompt_tokens.empty() ? nullptr : prompt_tokens.data();
|
|
wparams.prompt_n_tokens = prompt_tokens.empty() ? 0 : prompt_tokens.size();
|
|
|
|
wparams.greedy.best_of = params.best_of;
|
|
wparams.beam_search.beam_size = params.beam_size;
|
|
|
|
wparams.temperature_inc = params.no_fallback ? 0.0f : wparams.temperature_inc;
|
|
wparams.entropy_thold = params.entropy_thold;
|
|
wparams.logprob_thold = params.logprob_thold;
|
|
|
|
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, "%s: failed to process audio\n", argv[0]);
|
|
return 10;
|
|
}
|
|
}
|
|
|
|
// output stuff
|
|
{
|
|
printf("\n");
|
|
|
|
// output to text file
|
|
if (params.output_txt) {
|
|
const auto fname_txt = fname_out + ".txt";
|
|
output_txt(ctx, fname_txt.c_str());
|
|
}
|
|
|
|
// output to VTT file
|
|
if (params.output_vtt) {
|
|
const auto fname_vtt = fname_out + ".vtt";
|
|
output_vtt(ctx, fname_vtt.c_str());
|
|
}
|
|
|
|
// output to SRT file
|
|
if (params.output_srt) {
|
|
const auto fname_srt = fname_out + ".srt";
|
|
output_srt(ctx, fname_srt.c_str(), params);
|
|
}
|
|
|
|
// output to WTS file
|
|
if (params.output_wts) {
|
|
const auto fname_wts = fname_out + ".wts";
|
|
output_wts(ctx, fname_wts.c_str(), fname_inp.c_str(), params, float(pcmf32.size() + 1000)/WHISPER_SAMPLE_RATE);
|
|
}
|
|
|
|
// output to CSV file
|
|
if (params.output_csv) {
|
|
const auto fname_csv = fname_out + ".csv";
|
|
output_csv(ctx, fname_csv.c_str());
|
|
}
|
|
}
|
|
}
|
|
|
|
whisper_print_timings(ctx);
|
|
whisper_free(ctx);
|
|
|
|
return 0;
|
|
}
|