mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-24 06:46:37 +00:00
1041 lines
43 KiB
C++
1041 lines
43 KiB
C++
#include "common.h"
|
|
|
|
#include "whisper.h"
|
|
#include "httplib.h"
|
|
#include "json.hpp"
|
|
|
|
#include <cmath>
|
|
#include <fstream>
|
|
#include <cstdio>
|
|
#include <string>
|
|
#include <thread>
|
|
#include <vector>
|
|
#include <cstring>
|
|
#include <sstream>
|
|
|
|
#if defined(_MSC_VER)
|
|
#pragma warning(disable: 4244 4267) // possible loss of data
|
|
#endif
|
|
|
|
using namespace httplib;
|
|
using json = nlohmann::ordered_json;
|
|
|
|
namespace {
|
|
|
|
// output formats
|
|
const std::string json_format = "json";
|
|
const std::string text_format = "text";
|
|
const std::string srt_format = "srt";
|
|
const std::string vjson_format = "verbose_json";
|
|
const std::string vtt_format = "vtt";
|
|
|
|
struct server_params
|
|
{
|
|
std::string hostname = "127.0.0.1";
|
|
std::string public_path = "examples/server/public";
|
|
std::string request_path = "";
|
|
std::string inference_path = "/inference";
|
|
|
|
int32_t port = 8080;
|
|
int32_t read_timeout = 600;
|
|
int32_t write_timeout = 600;
|
|
|
|
bool ffmpeg_converter = false;
|
|
};
|
|
|
|
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 progress_step = 5;
|
|
int32_t max_context = -1;
|
|
int32_t max_len = 0;
|
|
int32_t best_of = 2;
|
|
int32_t beam_size = -1;
|
|
int32_t audio_ctx = 0;
|
|
|
|
float word_thold = 0.01f;
|
|
float entropy_thold = 2.40f;
|
|
float logprob_thold = -1.00f;
|
|
float temperature = 0.00f;
|
|
float temperature_inc = 0.20f;
|
|
|
|
bool debug_mode = false;
|
|
bool translate = false;
|
|
bool detect_language = false;
|
|
bool diarize = false;
|
|
bool tinydiarize = false;
|
|
bool split_on_word = false;
|
|
bool no_fallback = false;
|
|
bool print_special = false;
|
|
bool print_colors = false;
|
|
bool print_realtime = false;
|
|
bool print_progress = false;
|
|
bool no_timestamps = false;
|
|
bool use_gpu = true;
|
|
bool flash_attn = false;
|
|
|
|
std::string language = "en";
|
|
std::string prompt = "";
|
|
std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
|
|
std::string model = "models/ggml-base.en.bin";
|
|
|
|
std::string response_format = json_format;
|
|
|
|
// [TDRZ] speaker turn string
|
|
std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
|
|
|
|
std::string openvino_encode_device = "CPU";
|
|
|
|
std::string dtw = "";
|
|
};
|
|
|
|
void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params, const server_params& sparams) {
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "usage: %s [options] \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, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
|
|
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, " -debug, --debug-mode [%-7s] enable debug mode (eg. dump log_mel)\n", params.debug_mode ? "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, " -tdrz, --tinydiarize [%-7s] enable tinydiarize (requires a tdrz model)\n", params.tinydiarize ? "true" : "false");
|
|
fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
|
|
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, " -pr, --print-realtime [%-7s] print output in realtime\n", params.print_realtime ? "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 ? "true" : "false");
|
|
fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str());
|
|
fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false");
|
|
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, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
|
|
// server params
|
|
fprintf(stderr, " -dtw MODEL --dtw MODEL [%-7s] compute token-level timestamps\n", params.dtw.c_str());
|
|
fprintf(stderr, " --host HOST, [%-7s] Hostname/ip-adress for the server\n", sparams.hostname.c_str());
|
|
fprintf(stderr, " --port PORT, [%-7d] Port number for the server\n", sparams.port);
|
|
fprintf(stderr, " --public PATH, [%-7s] Path to the public folder\n", sparams.public_path.c_str());
|
|
fprintf(stderr, " --request-path PATH, [%-7s] Request path for all requests\n", sparams.request_path.c_str());
|
|
fprintf(stderr, " --inference-path PATH, [%-7s] Inference path for all requests\n", sparams.inference_path.c_str());
|
|
fprintf(stderr, " --convert, [%-7s] Convert audio to WAV, requires ffmpeg on the server", sparams.ffmpeg_converter ? "true" : "false");
|
|
fprintf(stderr, "\n");
|
|
}
|
|
|
|
bool whisper_params_parse(int argc, char ** argv, whisper_params & params, server_params & sparams) {
|
|
for (int i = 1; i < argc; i++) {
|
|
std::string arg = argv[i];
|
|
|
|
if (arg == "-h" || arg == "--help") {
|
|
whisper_print_usage(argc, argv, params, sparams);
|
|
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 == "-ac" || arg == "--audio-ctx") { params.audio_ctx = 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 == "-debug"|| arg == "--debug-mode") { params.debug_mode = true; }
|
|
else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
|
|
else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
|
|
else if (arg == "-tdrz" || arg == "--tinydiarize") { params.tinydiarize = 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 == "-fp" || arg == "--font-path") { params.font_path = 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 == "-pr" || arg == "--print-realtime") { params.print_realtime = 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 == "-dl" || arg == "--detect-language") { params.detect_language = true; }
|
|
else if ( arg == "--prompt") { params.prompt = argv[++i]; }
|
|
else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
|
|
else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
|
|
else if (arg == "-dtw" || arg == "--dtw") { params.dtw = argv[++i]; }
|
|
else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
|
|
else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; }
|
|
// server params
|
|
else if ( arg == "--port") { sparams.port = std::stoi(argv[++i]); }
|
|
else if ( arg == "--host") { sparams.hostname = argv[++i]; }
|
|
else if ( arg == "--public") { sparams.public_path = argv[++i]; }
|
|
else if ( arg == "--request-path") { sparams.request_path = argv[++i]; }
|
|
else if ( arg == "--inference-path") { sparams.inference_path = argv[++i]; }
|
|
else if ( arg == "--convert") { sparams.ffmpeg_converter = true; }
|
|
else {
|
|
fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
|
|
whisper_print_usage(argc, argv, params, sparams);
|
|
exit(0);
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
struct whisper_print_user_data {
|
|
const whisper_params * params;
|
|
|
|
const std::vector<std::vector<float>> * pcmf32s;
|
|
int progress_prev;
|
|
};
|
|
|
|
void check_ffmpeg_availibility() {
|
|
int result = system("ffmpeg -version");
|
|
|
|
if (result == 0) {
|
|
std::cout << "ffmpeg is available." << std::endl;
|
|
} else {
|
|
// ffmpeg is not available
|
|
std::cout << "ffmpeg is not found. Please ensure that ffmpeg is installed ";
|
|
std::cout << "and that its executable is included in your system's PATH. ";
|
|
exit(0);
|
|
}
|
|
}
|
|
|
|
bool convert_to_wav(const std::string & temp_filename, std::string & error_resp) {
|
|
std::ostringstream cmd_stream;
|
|
std::string converted_filename_temp = temp_filename + "_temp.wav";
|
|
cmd_stream << "ffmpeg -i \"" << temp_filename << "\" -ar 16000 -ac 1 -c:a pcm_s16le \"" << converted_filename_temp << "\" 2>&1";
|
|
std::string cmd = cmd_stream.str();
|
|
|
|
int status = std::system(cmd.c_str());
|
|
if (status != 0) {
|
|
error_resp = "{\"error\":\"FFmpeg conversion failed.\"}";
|
|
return false;
|
|
}
|
|
|
|
// Remove the original file
|
|
if (remove(temp_filename.c_str()) != 0) {
|
|
error_resp = "{\"error\":\"Failed to remove the original file.\"}";
|
|
return false;
|
|
}
|
|
|
|
// Rename the temporary file to match the original filename
|
|
if (rename(converted_filename_temp.c_str(), temp_filename.c_str()) != 0) {
|
|
error_resp = "{\"error\":\"Failed to rename the temporary file.\"}";
|
|
return false;
|
|
}
|
|
return true;
|
|
}
|
|
|
|
std::string estimate_diarization_speaker(std::vector<std::vector<float>> pcmf32s, int64_t t0, int64_t t1, bool id_only = false) {
|
|
std::string speaker = "";
|
|
const int64_t n_samples = pcmf32s[0].size();
|
|
|
|
const int64_t is0 = timestamp_to_sample(t0, n_samples, WHISPER_SAMPLE_RATE);
|
|
const int64_t is1 = timestamp_to_sample(t1, n_samples, WHISPER_SAMPLE_RATE);
|
|
|
|
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 = "0";
|
|
} else if (energy1 > 1.1*energy0) {
|
|
speaker = "1";
|
|
} else {
|
|
speaker = "?";
|
|
}
|
|
|
|
//printf("is0 = %lld, is1 = %lld, energy0 = %f, energy1 = %f, speaker = %s\n", is0, is1, energy0, energy1, speaker.c_str());
|
|
|
|
if (!id_only) {
|
|
speaker.insert(0, "(speaker ");
|
|
speaker.append(")");
|
|
}
|
|
|
|
return speaker;
|
|
}
|
|
|
|
void whisper_print_progress_callback(struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, int progress, void * user_data) {
|
|
int progress_step = ((whisper_print_user_data *) user_data)->params->progress_step;
|
|
int * progress_prev = &(((whisper_print_user_data *) user_data)->progress_prev);
|
|
if (progress >= *progress_prev + progress_step) {
|
|
*progress_prev += progress_step;
|
|
fprintf(stderr, "%s: progress = %3d%%\n", __func__, progress);
|
|
}
|
|
}
|
|
|
|
void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper_state * /*state*/, 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 = 0;
|
|
int64_t t1 = 0;
|
|
|
|
// 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) {
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
|
}
|
|
|
|
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);
|
|
}
|
|
|
|
if (params.tinydiarize) {
|
|
if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
|
|
printf("%s", params.tdrz_speaker_turn.c_str());
|
|
}
|
|
}
|
|
|
|
// with timestamps or speakers: each segment on new line
|
|
if (!params.no_timestamps || params.diarize) {
|
|
printf("\n");
|
|
}
|
|
fflush(stdout);
|
|
}
|
|
}
|
|
|
|
std::string output_str(struct whisper_context * ctx, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
|
|
std::stringstream result;
|
|
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);
|
|
std::string speaker = "";
|
|
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
|
|
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
|
}
|
|
|
|
result << speaker << text << "\n";
|
|
}
|
|
return result.str();
|
|
}
|
|
|
|
bool parse_str_to_bool(const std::string & s) {
|
|
if (s == "true" || s == "1" || s == "yes" || s == "y") {
|
|
return true;
|
|
}
|
|
return false;
|
|
}
|
|
|
|
void get_req_parameters(const Request & req, whisper_params & params)
|
|
{
|
|
if (req.has_file("offset_t"))
|
|
{
|
|
params.offset_t_ms = std::stoi(req.get_file_value("offset_t").content);
|
|
}
|
|
if (req.has_file("offset_n"))
|
|
{
|
|
params.offset_n = std::stoi(req.get_file_value("offset_n").content);
|
|
}
|
|
if (req.has_file("duration"))
|
|
{
|
|
params.duration_ms = std::stoi(req.get_file_value("duration").content);
|
|
}
|
|
if (req.has_file("max_context"))
|
|
{
|
|
params.max_context = std::stoi(req.get_file_value("max_context").content);
|
|
}
|
|
if (req.has_file("max_len"))
|
|
{
|
|
params.max_len = std::stoi(req.get_file_value("max_len").content);
|
|
}
|
|
if (req.has_file("best_of"))
|
|
{
|
|
params.best_of = std::stoi(req.get_file_value("best_of").content);
|
|
}
|
|
if (req.has_file("beam_size"))
|
|
{
|
|
params.beam_size = std::stoi(req.get_file_value("beam_size").content);
|
|
}
|
|
if (req.has_file("audio_ctx"))
|
|
{
|
|
params.audio_ctx = std::stof(req.get_file_value("audio_ctx").content);
|
|
}
|
|
if (req.has_file("word_thold"))
|
|
{
|
|
params.word_thold = std::stof(req.get_file_value("word_thold").content);
|
|
}
|
|
if (req.has_file("entropy_thold"))
|
|
{
|
|
params.entropy_thold = std::stof(req.get_file_value("entropy_thold").content);
|
|
}
|
|
if (req.has_file("logprob_thold"))
|
|
{
|
|
params.logprob_thold = std::stof(req.get_file_value("logprob_thold").content);
|
|
}
|
|
if (req.has_file("debug_mode"))
|
|
{
|
|
params.debug_mode = parse_str_to_bool(req.get_file_value("debug_mode").content);
|
|
}
|
|
if (req.has_file("translate"))
|
|
{
|
|
params.translate = parse_str_to_bool(req.get_file_value("translate").content);
|
|
}
|
|
if (req.has_file("diarize"))
|
|
{
|
|
params.diarize = parse_str_to_bool(req.get_file_value("diarize").content);
|
|
}
|
|
if (req.has_file("tinydiarize"))
|
|
{
|
|
params.tinydiarize = parse_str_to_bool(req.get_file_value("tinydiarize").content);
|
|
}
|
|
if (req.has_file("split_on_word"))
|
|
{
|
|
params.split_on_word = parse_str_to_bool(req.get_file_value("split_on_word").content);
|
|
}
|
|
if (req.has_file("no_timestamps"))
|
|
{
|
|
params.no_timestamps = parse_str_to_bool(req.get_file_value("no_timestamps").content);
|
|
}
|
|
if (req.has_file("language"))
|
|
{
|
|
params.language = req.get_file_value("language").content;
|
|
}
|
|
if (req.has_file("detect_language"))
|
|
{
|
|
params.detect_language = parse_str_to_bool(req.get_file_value("detect_language").content);
|
|
}
|
|
if (req.has_file("prompt"))
|
|
{
|
|
params.prompt = req.get_file_value("prompt").content;
|
|
}
|
|
if (req.has_file("response_format"))
|
|
{
|
|
params.response_format = req.get_file_value("response_format").content;
|
|
}
|
|
if (req.has_file("temperature"))
|
|
{
|
|
params.temperature = std::stof(req.get_file_value("temperature").content);
|
|
}
|
|
if (req.has_file("temperature_inc"))
|
|
{
|
|
params.temperature_inc = std::stof(req.get_file_value("temperature_inc").content);
|
|
}
|
|
}
|
|
|
|
} // namespace
|
|
|
|
int main(int argc, char ** argv) {
|
|
whisper_params params;
|
|
server_params sparams;
|
|
|
|
std::mutex whisper_mutex;
|
|
|
|
if (whisper_params_parse(argc, argv, params, sparams) == false) {
|
|
whisper_print_usage(argc, argv, params, sparams);
|
|
return 1;
|
|
}
|
|
|
|
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, sparams);
|
|
exit(0);
|
|
}
|
|
|
|
if (params.diarize && params.tinydiarize) {
|
|
fprintf(stderr, "error: cannot use both --diarize and --tinydiarize\n");
|
|
whisper_print_usage(argc, argv, params, sparams);
|
|
exit(0);
|
|
}
|
|
|
|
if (sparams.ffmpeg_converter) {
|
|
check_ffmpeg_availibility();
|
|
}
|
|
// whisper init
|
|
struct whisper_context_params cparams = whisper_context_default_params();
|
|
|
|
cparams.use_gpu = params.use_gpu;
|
|
cparams.flash_attn = params.flash_attn;
|
|
|
|
if (!params.dtw.empty()) {
|
|
cparams.dtw_token_timestamps = true;
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_NONE;
|
|
|
|
if (params.dtw == "tiny") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_TINY;
|
|
}
|
|
if (params.dtw == "tiny.en") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_TINY_EN;
|
|
}
|
|
if (params.dtw == "base") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_BASE;
|
|
}
|
|
if (params.dtw == "base.en") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_BASE_EN;
|
|
}
|
|
if (params.dtw == "small") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_SMALL;
|
|
}
|
|
if (params.dtw == "small.en") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_SMALL_EN;
|
|
}
|
|
if (params.dtw == "medium") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_MEDIUM;
|
|
}
|
|
if (params.dtw == "medium.en") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_MEDIUM_EN;
|
|
}
|
|
if (params.dtw == "large.v1") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V1;
|
|
}
|
|
if (params.dtw == "large.v2") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V2;
|
|
}
|
|
if (params.dtw == "large.v3") {
|
|
cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V3;
|
|
}
|
|
|
|
if (cparams.dtw_aheads_preset == WHISPER_AHEADS_NONE) {
|
|
fprintf(stderr, "error: unknown DTW preset '%s'\n", params.dtw.c_str());
|
|
return 3;
|
|
}
|
|
}
|
|
|
|
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
|
|
|
if (ctx == nullptr) {
|
|
fprintf(stderr, "error: failed to initialize whisper context\n");
|
|
return 3;
|
|
}
|
|
|
|
// initialize openvino encoder. this has no effect on whisper.cpp builds that don't have OpenVINO configured
|
|
whisper_ctx_init_openvino_encoder(ctx, nullptr, params.openvino_encode_device.c_str(), nullptr);
|
|
|
|
Server svr;
|
|
svr.set_default_headers({{"Server", "whisper.cpp"},
|
|
{"Access-Control-Allow-Origin", "*"},
|
|
{"Access-Control-Allow-Headers", "content-type, authorization"}});
|
|
|
|
std::string const default_content = R"(
|
|
<html>
|
|
<head>
|
|
<title>Whisper.cpp Server</title>
|
|
<meta charset="utf-8">
|
|
<meta name="viewport" content="width=device-width">
|
|
<style>
|
|
body {
|
|
font-family: sans-serif;
|
|
}
|
|
form {
|
|
display: flex;
|
|
flex-direction: column;
|
|
align-items: flex-start;
|
|
}
|
|
label {
|
|
margin-bottom: 0.5rem;
|
|
}
|
|
input, select {
|
|
margin-bottom: 1rem;
|
|
}
|
|
button {
|
|
margin-top: 1rem;
|
|
}
|
|
</style>
|
|
</head>
|
|
<body>
|
|
<h1>Whisper.cpp Server</h1>
|
|
|
|
<h2>/inference</h2>
|
|
<pre>
|
|
curl 127.0.0.1:)" + std::to_string(sparams.port) + R"(/inference \
|
|
-H "Content-Type: multipart/form-data" \
|
|
-F file="@<file-path>" \
|
|
-F temperature="0.0" \
|
|
-F temperature_inc="0.2" \
|
|
-F response_format="json"
|
|
</pre>
|
|
|
|
<h2>/load</h2>
|
|
<pre>
|
|
curl 127.0.0.1:)" + std::to_string(sparams.port) + R"(/load \
|
|
-H "Content-Type: multipart/form-data" \
|
|
-F model="<path-to-model-file>"
|
|
</pre>
|
|
|
|
<div>
|
|
<h2>Try it out</h2>
|
|
<form action="/inference" method="POST" enctype="multipart/form-data">
|
|
<label for="file">Choose an audio file:</label>
|
|
<input type="file" id="file" name="file" accept="audio/*" required><br>
|
|
|
|
<label for="temperature">Temperature:</label>
|
|
<input type="number" id="temperature" name="temperature" value="0.0" step="0.01" placeholder="e.g., 0.0"><br>
|
|
|
|
<label for="response_format">Response Format:</label>
|
|
<select id="response_format" name="response_format">
|
|
<option value="verbose_json">Verbose JSON</option>
|
|
<option value="json">JSON</option>
|
|
<option value="text">Text</option>
|
|
<option value="srt">SRT</option>
|
|
<option value="vtt">VTT</option>
|
|
</select><br>
|
|
|
|
<button type="submit">Submit</button>
|
|
</form>
|
|
</div>
|
|
</body>
|
|
</html>
|
|
)";
|
|
|
|
// store default params so we can reset after each inference request
|
|
whisper_params default_params = params;
|
|
|
|
// this is only called if no index.html is found in the public --path
|
|
svr.Get(sparams.request_path + "/", [&default_content](const Request &, Response &res){
|
|
res.set_content(default_content, "text/html");
|
|
return false;
|
|
});
|
|
|
|
svr.Options(sparams.request_path + sparams.inference_path, [&](const Request &, Response &){
|
|
});
|
|
|
|
svr.Post(sparams.request_path + sparams.inference_path, [&](const Request &req, Response &res){
|
|
// acquire whisper model mutex lock
|
|
std::lock_guard<std::mutex> lock(whisper_mutex);
|
|
|
|
// first check user requested fields of the request
|
|
if (!req.has_file("file"))
|
|
{
|
|
fprintf(stderr, "error: no 'file' field in the request\n");
|
|
const std::string error_resp = "{\"error\":\"no 'file' field in the request\"}";
|
|
res.set_content(error_resp, "application/json");
|
|
return;
|
|
}
|
|
auto audio_file = req.get_file_value("file");
|
|
|
|
// check non-required fields
|
|
get_req_parameters(req, params);
|
|
|
|
std::string filename{audio_file.filename};
|
|
printf("Received request: %s\n", filename.c_str());
|
|
|
|
// audio arrays
|
|
std::vector<float> pcmf32; // mono-channel F32 PCM
|
|
std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
|
|
|
|
if (sparams.ffmpeg_converter) {
|
|
// if file is not wav, convert to wav
|
|
// write to temporary file
|
|
const std::string temp_filename = "whisper_server_temp_file.wav";
|
|
std::ofstream temp_file{temp_filename, std::ios::binary};
|
|
temp_file << audio_file.content;
|
|
temp_file.close();
|
|
|
|
std::string error_resp = "{\"error\":\"Failed to execute ffmpeg command.\"}";
|
|
const bool is_converted = convert_to_wav(temp_filename, error_resp);
|
|
if (!is_converted) {
|
|
res.set_content(error_resp, "application/json");
|
|
return;
|
|
}
|
|
|
|
// read wav content into pcmf32
|
|
if (!::read_wav(temp_filename, pcmf32, pcmf32s, params.diarize))
|
|
{
|
|
fprintf(stderr, "error: failed to read WAV file '%s'\n", temp_filename.c_str());
|
|
const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
|
|
res.set_content(error_resp, "application/json");
|
|
std::remove(temp_filename.c_str());
|
|
return;
|
|
}
|
|
// remove temp file
|
|
std::remove(temp_filename.c_str());
|
|
} else {
|
|
if (!::read_wav(audio_file.content, pcmf32, pcmf32s, params.diarize))
|
|
{
|
|
fprintf(stderr, "error: failed to read WAV file\n");
|
|
const std::string error_resp = "{\"error\":\"failed to read WAV file\"}";
|
|
res.set_content(error_resp, "application/json");
|
|
return;
|
|
}
|
|
}
|
|
|
|
|
|
printf("Successfully loaded %s\n", filename.c_str());
|
|
|
|
// 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__);
|
|
}
|
|
}
|
|
if (params.detect_language) {
|
|
params.language = "auto";
|
|
}
|
|
fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, lang = %s, task = %s, %stimestamps = %d ...\n",
|
|
__func__, filename.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.tinydiarize ? "tdrz = 1, " : "",
|
|
params.no_timestamps ? 0 : 1);
|
|
|
|
fprintf(stderr, "\n");
|
|
}
|
|
|
|
// run the inference
|
|
{
|
|
printf("Running whisper.cpp inference on %s\n", filename.c_str());
|
|
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.detect_language = params.detect_language;
|
|
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.thold_pt = params.word_thold;
|
|
wparams.max_len = params.max_len == 0 ? 60 : params.max_len;
|
|
wparams.split_on_word = params.split_on_word;
|
|
wparams.audio_ctx = params.audio_ctx;
|
|
|
|
wparams.debug_mode = params.debug_mode;
|
|
|
|
wparams.tdrz_enable = params.tinydiarize; // [TDRZ]
|
|
|
|
wparams.initial_prompt = params.prompt.c_str();
|
|
|
|
wparams.greedy.best_of = params.best_of;
|
|
wparams.beam_search.beam_size = params.beam_size;
|
|
|
|
wparams.temperature = params.temperature;
|
|
wparams.temperature_inc = params.temperature_inc;
|
|
wparams.entropy_thold = params.entropy_thold;
|
|
wparams.logprob_thold = params.logprob_thold;
|
|
|
|
wparams.no_timestamps = params.no_timestamps;
|
|
wparams.token_timestamps = !params.no_timestamps && params.response_format == vjson_format;
|
|
|
|
whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 };
|
|
|
|
// this callback is called on each new segment
|
|
if (params.print_realtime) {
|
|
wparams.new_segment_callback = whisper_print_segment_callback;
|
|
wparams.new_segment_callback_user_data = &user_data;
|
|
}
|
|
|
|
if (wparams.print_progress) {
|
|
wparams.progress_callback = whisper_print_progress_callback;
|
|
wparams.progress_callback_user_data = &user_data;
|
|
}
|
|
|
|
// examples for abort mechanism
|
|
// in examples below, 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*/, struct whisper_state * /*state*/, void * user_data) {
|
|
bool is_aborted = *(bool*)user_data;
|
|
return !is_aborted;
|
|
};
|
|
wparams.encoder_begin_callback_user_data = &is_aborted;
|
|
}
|
|
|
|
// the callback is called before every computation - if it returns true, the computation is aborted
|
|
{
|
|
static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
|
|
|
|
wparams.abort_callback = [](void * user_data) {
|
|
bool is_aborted = *(bool*)user_data;
|
|
return is_aborted;
|
|
};
|
|
wparams.abort_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]);
|
|
const std::string error_resp = "{\"error\":\"failed to process audio\"}";
|
|
res.set_content(error_resp, "application/json");
|
|
return;
|
|
}
|
|
}
|
|
|
|
// return results to user
|
|
if (params.response_format == text_format)
|
|
{
|
|
std::string results = output_str(ctx, params, pcmf32s);
|
|
res.set_content(results.c_str(), "text/html; charset=utf-8");
|
|
}
|
|
else if (params.response_format == srt_format)
|
|
{
|
|
std::stringstream ss;
|
|
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);
|
|
std::string speaker = "";
|
|
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
|
|
}
|
|
|
|
ss << i + 1 + params.offset_n << "\n";
|
|
ss << to_timestamp(t0, true) << " --> " << to_timestamp(t1, true) << "\n";
|
|
ss << speaker << text << "\n\n";
|
|
}
|
|
res.set_content(ss.str(), "application/x-subrip");
|
|
} else if (params.response_format == vtt_format) {
|
|
std::stringstream ss;
|
|
|
|
ss << "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);
|
|
std::string speaker = "";
|
|
|
|
if (params.diarize && pcmf32s.size() == 2)
|
|
{
|
|
speaker = estimate_diarization_speaker(pcmf32s, t0, t1, true);
|
|
speaker.insert(0, "<v Speaker");
|
|
speaker.append(">");
|
|
}
|
|
|
|
ss << to_timestamp(t0) << " --> " << to_timestamp(t1) << "\n";
|
|
ss << speaker << text << "\n\n";
|
|
}
|
|
res.set_content(ss.str(), "text/vtt");
|
|
} else if (params.response_format == vjson_format) {
|
|
/* try to match openai/whisper's Python format */
|
|
std::string results = output_str(ctx, params, pcmf32s);
|
|
json jres = json{
|
|
{"task", params.translate ? "translate" : "transcribe"},
|
|
{"language", whisper_lang_str_full(whisper_full_lang_id(ctx))},
|
|
{"duration", float(pcmf32.size())/WHISPER_SAMPLE_RATE},
|
|
{"text", results},
|
|
{"segments", json::array()}
|
|
};
|
|
const int n_segments = whisper_full_n_segments(ctx);
|
|
for (int i = 0; i < n_segments; ++i)
|
|
{
|
|
json segment = json{
|
|
{"id", i},
|
|
{"text", whisper_full_get_segment_text(ctx, i)},
|
|
};
|
|
|
|
if (!params.no_timestamps) {
|
|
segment["start"] = whisper_full_get_segment_t0(ctx, i) * 0.01;
|
|
segment["end"] = whisper_full_get_segment_t1(ctx, i) * 0.01;
|
|
}
|
|
|
|
float total_logprob = 0;
|
|
const int n_tokens = whisper_full_n_tokens(ctx, i);
|
|
for (int j = 0; j < n_tokens; ++j) {
|
|
whisper_token_data token = whisper_full_get_token_data(ctx, i, j);
|
|
if (token.id >= whisper_token_eot(ctx)) {
|
|
continue;
|
|
}
|
|
|
|
segment["tokens"].push_back(token.id);
|
|
json word = json{{"word", whisper_full_get_token_text(ctx, i, j)}};
|
|
if (!params.no_timestamps) {
|
|
word["start"] = token.t0 * 0.01;
|
|
word["end"] = token.t1 * 0.01;
|
|
word["t_dtw"] = token.t_dtw;
|
|
}
|
|
word["probability"] = token.p;
|
|
total_logprob += token.plog;
|
|
segment["words"].push_back(word);
|
|
}
|
|
|
|
segment["temperature"] = params.temperature;
|
|
segment["avg_logprob"] = total_logprob / n_tokens;
|
|
|
|
// TODO compression_ratio and no_speech_prob are not implemented yet
|
|
// segment["compression_ratio"] = 0;
|
|
// segment["no_speech_prob"] = 0;
|
|
|
|
jres["segments"].push_back(segment);
|
|
}
|
|
res.set_content(jres.dump(-1, ' ', false, json::error_handler_t::replace),
|
|
"application/json");
|
|
}
|
|
// TODO add more output formats
|
|
else
|
|
{
|
|
std::string results = output_str(ctx, params, pcmf32s);
|
|
json jres = json{
|
|
{"text", results}
|
|
};
|
|
res.set_content(jres.dump(-1, ' ', false, json::error_handler_t::replace),
|
|
"application/json");
|
|
}
|
|
|
|
// reset params to their defaults
|
|
params = default_params;
|
|
});
|
|
svr.Post(sparams.request_path + "/load", [&](const Request &req, Response &res){
|
|
std::lock_guard<std::mutex> lock(whisper_mutex);
|
|
if (!req.has_file("model"))
|
|
{
|
|
fprintf(stderr, "error: no 'model' field in the request\n");
|
|
const std::string error_resp = "{\"error\":\"no 'model' field in the request\"}";
|
|
res.set_content(error_resp, "application/json");
|
|
return;
|
|
}
|
|
std::string model = req.get_file_value("model").content;
|
|
if (!is_file_exist(model.c_str()))
|
|
{
|
|
fprintf(stderr, "error: 'model': %s not found!\n", model.c_str());
|
|
const std::string error_resp = "{\"error\":\"model not found!\"}";
|
|
res.set_content(error_resp, "application/json");
|
|
return;
|
|
}
|
|
|
|
// clean up
|
|
whisper_free(ctx);
|
|
|
|
// whisper init
|
|
ctx = whisper_init_from_file_with_params(model.c_str(), cparams);
|
|
|
|
// TODO perhaps load prior model here instead of exit
|
|
if (ctx == nullptr) {
|
|
fprintf(stderr, "error: model init failed, no model loaded must exit\n");
|
|
exit(1);
|
|
}
|
|
|
|
// initialize openvino encoder. this has no effect on whisper.cpp builds that don't have OpenVINO configured
|
|
whisper_ctx_init_openvino_encoder(ctx, nullptr, params.openvino_encode_device.c_str(), nullptr);
|
|
|
|
const std::string success = "Load was successful!";
|
|
res.set_content(success, "application/text");
|
|
|
|
// check if the model is in the file system
|
|
});
|
|
|
|
svr.set_exception_handler([](const Request &, Response &res, std::exception_ptr ep) {
|
|
const char fmt[] = "500 Internal Server Error\n%s";
|
|
char buf[BUFSIZ];
|
|
try {
|
|
std::rethrow_exception(std::move(ep));
|
|
} catch (std::exception &e) {
|
|
snprintf(buf, sizeof(buf), fmt, e.what());
|
|
} catch (...) {
|
|
snprintf(buf, sizeof(buf), fmt, "Unknown Exception");
|
|
}
|
|
res.set_content(buf, "text/plain");
|
|
res.status = 500;
|
|
});
|
|
|
|
svr.set_error_handler([](const Request &req, Response &res) {
|
|
if (res.status == 400) {
|
|
res.set_content("Invalid request", "text/plain");
|
|
} else if (res.status != 500) {
|
|
res.set_content("File Not Found (" + req.path + ")", "text/plain");
|
|
res.status = 404;
|
|
}
|
|
});
|
|
|
|
// set timeouts and change hostname and port
|
|
svr.set_read_timeout(sparams.read_timeout);
|
|
svr.set_write_timeout(sparams.write_timeout);
|
|
|
|
if (!svr.bind_to_port(sparams.hostname, sparams.port))
|
|
{
|
|
fprintf(stderr, "\ncouldn't bind to server socket: hostname=%s port=%d\n\n",
|
|
sparams.hostname.c_str(), sparams.port);
|
|
return 1;
|
|
}
|
|
|
|
// Set the base directory for serving static files
|
|
svr.set_base_dir(sparams.public_path);
|
|
|
|
// to make it ctrl+clickable:
|
|
printf("\nwhisper server listening at http://%s:%d\n\n", sparams.hostname.c_str(), sparams.port);
|
|
|
|
if (!svr.listen_after_bind())
|
|
{
|
|
return 1;
|
|
}
|
|
|
|
whisper_print_timings(ctx);
|
|
whisper_free(ctx);
|
|
|
|
return 0;
|
|
}
|