#include "common.h" #include "whisper.h" #include "httplib.h" #include "json.hpp" #include #include #include #include #include #include #include #include #if defined(_MSC_VER) #pragma warning(disable: 4244 4267) // possible loss of data #endif using namespace httplib; using json = nlohmann::json; namespace { // 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 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", }; // 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 = ""; 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; 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 speed_up = false; 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; 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"; }; // 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))); } bool is_file_exist(const char *fileName) { std::ifstream infile(fileName); return infile.good(); } 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, " -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, " -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, " --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, " --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 == "-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 == "-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 == "-ng" || arg == "--no-gpu") { params.use_gpu = false; } // 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 == "--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> * 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> 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); 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 = "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> 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(); } 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("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; 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; svr.set_default_headers({{"Server", "whisper.cpp"}, {"Access-Control-Allow-Origin", "*"}, {"Access-Control-Allow-Headers", "content-type"}}); std::string const default_content = "hello"; // 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.Post(sparams.request_path + "/inference", [&](const Request &req, Response &res){ // acquire 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 pcmf32; // mono-channel F32 PCM std::vector> 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(); // if file is not wav, convert to wav if (sparams.ffmpeg_converter) { 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"); whisper_mutex.unlock(); 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()); 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.max_len = params.max_len == 0 ? 60 : params.max_len; 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 = params.temperature; wparams.temperature_inc = params.temperature_inc; 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 (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"); 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"); } 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, ""); } ss << to_timestamp(t0) << " --> " << to_timestamp(t1) << "\n"; ss << speaker << text << "\n\n"; } res.set_content(ss.str(), "text/vtt"); } // 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(sparams.request_path + "/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 &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; }