703 lines
30 KiB
C++
703 lines
30 KiB
C++
#include "common.h"
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#include "whisper.h"
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#include "httplib.h"
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#include "json.hpp"
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#include <cmath>
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#include <fstream>
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#include <cstdio>
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#include <string>
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#include <thread>
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#include <vector>
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#include <cstring>
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#if defined(_MSC_VER)
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#pragma warning(disable: 4244 4267) // possible loss of data
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#endif
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using namespace httplib;
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using json = nlohmann::json;
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namespace {
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// Terminal color map. 10 colors grouped in ranges [0.0, 0.1, ..., 0.9]
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// Lowest is red, middle is yellow, highest is green.
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const std::vector<std::string> k_colors = {
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"\033[38;5;196m", "\033[38;5;202m", "\033[38;5;208m", "\033[38;5;214m", "\033[38;5;220m",
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"\033[38;5;226m", "\033[38;5;190m", "\033[38;5;154m", "\033[38;5;118m", "\033[38;5;82m",
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};
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// output formats
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const std::string json_format = "json";
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const std::string text_format = "text";
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const std::string srt_format = "srt";
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const std::string vjson_format = "verbose_json";
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const std::string vtt_format = "vtt";
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struct server_params
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{
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std::string hostname = "127.0.0.1";
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std::string public_path = "examples/server/public";
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int32_t port = 8080;
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int32_t read_timeout = 600;
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int32_t write_timeout = 600;
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};
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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 progress_step = 5;
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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 = 2;
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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 = 2.40f;
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float logprob_thold = -1.00f;
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float userdef_temp = 0.20f;
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bool speed_up = false;
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bool debug_mode = false;
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bool translate = false;
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bool detect_language = false;
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bool diarize = false;
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bool tinydiarize = false;
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bool split_on_word = false;
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bool no_fallback = 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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bool use_gpu = true;
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std::string language = "en";
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std::string prompt = "";
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std::string font_path = "/System/Library/Fonts/Supplemental/Courier New Bold.ttf";
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std::string model = "models/ggml-base.en.bin";
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std::string response_format = json_format;
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// [TDRZ] speaker turn string
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std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line
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std::string openvino_encode_device = "CPU";
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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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bool is_file_exist(const char *fileName)
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{
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std::ifstream infile(fileName);
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return infile.good();
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}
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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params,
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const server_params& sparams) {
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fprintf(stderr, "\n");
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fprintf(stderr, "usage: %s [options] \n", argv[0]);
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fprintf(stderr, "\n");
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fprintf(stderr, "options:\n");
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fprintf(stderr, " -h, --help [default] show this help message and exit\n");
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fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads);
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fprintf(stderr, " -p N, --processors N [%-7d] number of processors to use during computation\n", params.n_processors);
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fprintf(stderr, " -ot N, --offset-t N [%-7d] time offset in milliseconds\n", params.offset_t_ms);
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fprintf(stderr, " -on N, --offset-n N [%-7d] segment index offset\n", params.offset_n);
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fprintf(stderr, " -d N, --duration N [%-7d] duration of audio to process in milliseconds\n", params.duration_ms);
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fprintf(stderr, " -mc N, --max-context N [%-7d] maximum number of text context tokens to store\n", params.max_context);
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fprintf(stderr, " -ml N, --max-len N [%-7d] maximum segment length in characters\n", params.max_len);
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fprintf(stderr, " -sow, --split-on-word [%-7s] split on word rather than on token\n", params.split_on_word ? "true" : "false");
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fprintf(stderr, " -bo N, --best-of N [%-7d] number of best candidates to keep\n", params.best_of);
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fprintf(stderr, " -bs N, --beam-size N [%-7d] beam size for beam search\n", params.beam_size);
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fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold);
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fprintf(stderr, " -et N, --entropy-thold N [%-7.2f] entropy threshold for decoder fail\n", params.entropy_thold);
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fprintf(stderr, " -lpt N, --logprob-thold N [%-7.2f] log probability threshold for decoder fail\n", params.logprob_thold);
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// fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false");
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fprintf(stderr, " -debug, --debug-mode [%-7s] enable debug mode (eg. dump log_mel)\n", params.debug_mode ? "true" : "false");
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fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false");
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fprintf(stderr, " -di, --diarize [%-7s] stereo audio diarization\n", params.diarize ? "true" : "false");
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fprintf(stderr, " -tdrz, --tinydiarize [%-7s] enable tinydiarize (requires a tdrz model)\n", params.tinydiarize ? "true" : "false");
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fprintf(stderr, " -nf, --no-fallback [%-7s] do not use temperature fallback while decoding\n", params.no_fallback ? "true" : "false");
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fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false");
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fprintf(stderr, " -pc, --print-colors [%-7s] print colors\n", params.print_colors ? "true" : "false");
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fprintf(stderr, " -pp, --print-progress [%-7s] print progress\n", params.print_progress ? "true" : "false");
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fprintf(stderr, " -nt, --no-timestamps [%-7s] do not print timestamps\n", params.no_timestamps ? "true" : "false");
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fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language ('auto' for auto-detect)\n", params.language.c_str());
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fprintf(stderr, " -dl, --detect-language [%-7s] exit after automatically detecting language\n", params.detect_language ? "true" : "false");
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fprintf(stderr, " --prompt PROMPT [%-7s] initial prompt\n", params.prompt.c_str());
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fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str());
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fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str());
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// server params
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fprintf(stderr, " --host HOST, [%-7s] Hostname/ip-adress for the server\n", sparams.hostname.c_str());
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fprintf(stderr, " --port PORT, [%-7d] Port number for the server\n", sparams.port);
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fprintf(stderr, " --public PATH, [%-7s] Path to the public folder\n", sparams.public_path.c_str());
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fprintf(stderr, "\n");
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}
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bool whisper_params_parse(int argc, char ** argv, whisper_params & params, server_params & sparams) {
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for (int i = 1; i < argc; i++) {
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std::string arg = argv[i];
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if (arg == "-h" || arg == "--help") {
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whisper_print_usage(argc, argv, params, sparams);
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exit(0);
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}
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else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); }
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else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(argv[++i]); }
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else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(argv[++i]); }
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else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(argv[++i]); }
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else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(argv[++i]); }
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else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(argv[++i]); }
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else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(argv[++i]); }
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else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(argv[++i]); }
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else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(argv[++i]); }
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else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(argv[++i]); }
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else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(argv[++i]); }
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else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(argv[++i]); }
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// else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; }
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else if (arg == "-debug"|| arg == "--debug-mode") { params.debug_mode = true; }
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else if (arg == "-tr" || arg == "--translate") { params.translate = true; }
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else if (arg == "-di" || arg == "--diarize") { params.diarize = true; }
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else if (arg == "-tdrz" || arg == "--tinydiarize") { params.tinydiarize = true; }
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else if (arg == "-sow" || arg == "--split-on-word") { params.split_on_word = true; }
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else if (arg == "-nf" || arg == "--no-fallback") { params.no_fallback = true; }
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else if (arg == "-fp" || arg == "--font-path") { params.font_path = argv[++i]; }
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else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
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else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; }
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else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; }
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else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; }
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else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
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else if (arg == "-dl" || arg == "--detect-language") { params.detect_language = true; }
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else if ( arg == "--prompt") { params.prompt = argv[++i]; }
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else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
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else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = argv[++i]; }
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else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
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// server params
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else if ( arg == "--port") { sparams.port = std::stoi(argv[++i]); }
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else if ( arg == "--host") { sparams.hostname = argv[++i]; }
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else if ( arg == "--public") { sparams.public_path = argv[++i]; }
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else {
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fprintf(stderr, "error: unknown argument: %s\n", arg.c_str());
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whisper_print_usage(argc, argv, params, sparams);
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exit(0);
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}
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}
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return true;
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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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int progress_prev;
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};
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std::string estimate_diarization_speaker(std::vector<std::vector<float>> pcmf32s, int64_t t0, int64_t t1, bool id_only = false) {
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std::string speaker = "";
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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 = "0";
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} else if (energy1 > 1.1*energy0) {
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speaker = "1";
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} else {
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speaker = "?";
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}
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//printf("is0 = %lld, is1 = %lld, energy0 = %f, energy1 = %f, speaker = %s\n", is0, is1, energy0, energy1, speaker.c_str());
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if (!id_only) {
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speaker.insert(0, "(speaker ");
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speaker.append(")");
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}
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return speaker;
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}
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void whisper_print_progress_callback(struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, int progress, void * user_data) {
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int progress_step = ((whisper_print_user_data *) user_data)->params->progress_step;
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int * progress_prev = &(((whisper_print_user_data *) user_data)->progress_prev);
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if (progress >= *progress_prev + progress_step) {
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*progress_prev += progress_step;
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fprintf(stderr, "%s: progress = %3d%%\n", __func__, progress);
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}
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}
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void whisper_print_segment_callback(struct whisper_context * ctx, struct whisper_state * /*state*/, 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 = 0;
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int64_t t1 = 0;
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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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speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
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}
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if (params.print_colors) {
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for (int j = 0; j < whisper_full_n_tokens(ctx, i); ++j) {
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if (params.print_special == false) {
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const whisper_token id = whisper_full_get_token_id(ctx, i, j);
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if (id >= whisper_token_eot(ctx)) {
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continue;
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}
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}
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const char * text = whisper_full_get_token_text(ctx, i, j);
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const float p = whisper_full_get_token_p (ctx, i, j);
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const int col = std::max(0, std::min((int) k_colors.size() - 1, (int) (std::pow(p, 3)*float(k_colors.size()))));
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printf("%s%s%s%s", speaker.c_str(), k_colors[col].c_str(), text, "\033[0m");
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}
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} else {
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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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}
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if (params.tinydiarize) {
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if (whisper_full_get_segment_speaker_turn_next(ctx, i)) {
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printf("%s", params.tdrz_speaker_turn.c_str());
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}
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}
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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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std::string output_str(struct whisper_context * ctx, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) {
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std::stringstream result;
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const int n_segments = whisper_full_n_segments(ctx);
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for (int i = 0; i < n_segments; ++i) {
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const char * text = whisper_full_get_segment_text(ctx, i);
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std::string speaker = "";
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if (params.diarize && pcmf32s.size() == 2)
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{
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const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
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const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
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speaker = estimate_diarization_speaker(pcmf32s, t0, t1);
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}
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result << speaker << text << "\n";
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}
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return result.str();
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}
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void get_req_parameters(const Request & req, whisper_params & params)
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{
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// user model configu.has_fileion
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if (req.has_file("offset-t"))
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{
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params.offset_t_ms = std::stoi(req.get_file_value("offset-t").content);
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}
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if (req.has_file("offset-n"))
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{
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params.offset_n = std::stoi(req.get_file_value("offset-n").content);
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}
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if (req.has_file("duration"))
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{
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params.duration_ms = std::stoi(req.get_file_value("duration").content);
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}
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if (req.has_file("max-context"))
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{
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params.max_context = std::stoi(req.get_file_value("max-context").content);
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}
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if (req.has_file("prompt"))
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{
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params.prompt = req.get_file_value("prompt").content;
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}
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if (req.has_file("response-format"))
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{
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params.response_format = req.get_file_value("response-format").content;
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}
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if (req.has_file("temerature"))
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{
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params.userdef_temp = std::stof(req.get_file_value("temperature").content);
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}
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}
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} // namespace
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int main(int argc, char ** argv) {
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whisper_params params;
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server_params sparams;
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std::mutex whisper_mutex;
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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);
|
|
}
|
|
|
|
// whisper init
|
|
struct whisper_context_params cparams;
|
|
cparams.use_gpu = params.use_gpu;
|
|
|
|
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;
|
|
|
|
std::string const default_content = "<html>hello</html>";
|
|
|
|
// this is only called if no index.html is found in the public --path
|
|
svr.Get("/", [&default_content](const Request &, Response &res){
|
|
res.set_content(default_content, "text/html");
|
|
return false;
|
|
});
|
|
|
|
svr.Post("/inference", [&](const Request &req, Response &res){
|
|
// aquire whisper model mutex lock
|
|
whisper_mutex.lock();
|
|
|
|
// 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");
|
|
whisper_mutex.unlock();
|
|
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
|
|
|
|
// 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();
|
|
|
|
// 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());
|
|
whisper_mutex.unlock();
|
|
return;
|
|
}
|
|
// remove temp file
|
|
std::remove(temp_filename.c_str());
|
|
|
|
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.split_on_word = params.split_on_word;
|
|
|
|
wparams.speed_up = params.speed_up;
|
|
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_inc = params.userdef_temp;
|
|
wparams.entropy_thold = params.entropy_thold;
|
|
wparams.logprob_thold = params.logprob_thold;
|
|
|
|
whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 };
|
|
|
|
// 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;
|
|
}
|
|
|
|
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");
|
|
whisper_mutex.unlock();
|
|
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");
|
|
}
|
|
// 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");
|
|
}
|
|
|
|
// return whisper model mutex lock
|
|
whisper_mutex.unlock();
|
|
});
|
|
svr.Post("/load", [&](const Request &req, Response &res){
|
|
whisper_mutex.lock();
|
|
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");
|
|
whisper_mutex.unlock();
|
|
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");
|
|
whisper_mutex.unlock();
|
|
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
|
|
whisper_mutex.unlock();
|
|
});
|
|
|
|
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 &, Response &res) {
|
|
if (res.status == 400) {
|
|
res.set_content("Invalid request", "text/plain");
|
|
} else if (res.status != 500) {
|
|
res.set_content("File Not Found", "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;
|
|
}
|