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Peter
whisper : enhance model download scripts functionality and resolve compiler warning (#2925)
69f99f1
unverified
| // helper function to replace substrings | |
| static void replace_all(std::string & s, const std::string & search, const std::string & replace) { | |
| for (size_t pos = 0; ; pos += replace.length()) { | |
| pos = s.find(search, pos); | |
| if (pos == std::string::npos) break; | |
| s.erase(pos, search.length()); | |
| s.insert(pos, replace); | |
| } | |
| } | |
| // command-line parameters | |
| struct whisper_params { | |
| int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency()); | |
| int32_t n_processors = 1; | |
| int32_t offset_t_ms = 0; | |
| int32_t offset_n = 0; | |
| int32_t duration_ms = 0; | |
| int32_t progress_step = 5; | |
| int32_t max_context = -1; | |
| int32_t max_len = 0; | |
| int32_t best_of = whisper_full_default_params(WHISPER_SAMPLING_GREEDY).greedy.best_of; | |
| int32_t beam_size = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH).beam_search.beam_size; | |
| int32_t audio_ctx = 0; | |
| float word_thold = 0.01f; | |
| float entropy_thold = 2.40f; | |
| float logprob_thold = -1.00f; | |
| float no_speech_thold = 0.6f; | |
| float grammar_penalty = 100.0f; | |
| float temperature = 0.0f; | |
| float temperature_inc = 0.2f; | |
| 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 output_txt = false; | |
| bool output_vtt = false; | |
| bool output_srt = false; | |
| bool output_wts = false; | |
| bool output_csv = false; | |
| bool output_jsn = false; | |
| bool output_jsn_full = false; | |
| bool output_lrc = false; | |
| bool no_prints = false; | |
| bool print_special = false; | |
| bool print_colors = false; | |
| bool print_progress = false; | |
| bool no_timestamps = false; | |
| bool log_score = false; | |
| bool use_gpu = true; | |
| bool flash_attn = false; | |
| bool suppress_nst = 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 grammar; | |
| std::string grammar_rule; | |
| // [TDRZ] speaker turn string | |
| std::string tdrz_speaker_turn = " [SPEAKER_TURN]"; // TODO: set from command line | |
| // A regular expression that matches tokens to suppress | |
| std::string suppress_regex; | |
| std::string openvino_encode_device = "CPU"; | |
| std::string dtw = ""; | |
| std::vector<std::string> fname_inp = {}; | |
| std::vector<std::string> fname_out = {}; | |
| grammar_parser::parse_state grammar_parsed; | |
| }; | |
| static void whisper_print_usage(int argc, char ** argv, const whisper_params & params); | |
| static char * whisper_param_turn_lowercase(char * in){ | |
| int string_len = strlen(in); | |
| for (int i = 0; i < string_len; i++){ | |
| *(in+i) = tolower((unsigned char)*(in+i)); | |
| } | |
| return in; | |
| } | |
| static char * requires_value_error(const std::string & arg) { | |
| fprintf(stderr, "error: argument %s requires value\n", arg.c_str()); | |
| exit(0); | |
| } | |
| static bool whisper_params_parse(int argc, char ** argv, whisper_params & params) { | |
| for (int i = 1; i < argc; i++) { | |
| std::string arg = argv[i]; | |
| if (arg == "-"){ | |
| params.fname_inp.push_back(arg); | |
| continue; | |
| } | |
| if (arg[0] != '-') { | |
| params.fname_inp.push_back(arg); | |
| continue; | |
| } | |
| if (arg == "-h" || arg == "--help") { | |
| whisper_print_usage(argc, argv, params); | |
| exit(0); | |
| } | |
| else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-p" || arg == "--processors") { params.n_processors = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-ot" || arg == "--offset-t") { params.offset_t_ms = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-on" || arg == "--offset-n") { params.offset_n = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-d" || arg == "--duration") { params.duration_ms = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-mc" || arg == "--max-context") { params.max_context = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-ml" || arg == "--max-len") { params.max_len = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-bo" || arg == "--best-of") { params.best_of = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-bs" || arg == "--beam-size") { params.beam_size = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(ARGV_NEXT); } | |
| else if (arg == "-wt" || arg == "--word-thold") { params.word_thold = std::stof(ARGV_NEXT); } | |
| else if (arg == "-et" || arg == "--entropy-thold") { params.entropy_thold = std::stof(ARGV_NEXT); } | |
| else if (arg == "-lpt" || arg == "--logprob-thold") { params.logprob_thold = std::stof(ARGV_NEXT); } | |
| else if (arg == "-nth" || arg == "--no-speech-thold") { params.no_speech_thold = std::stof(ARGV_NEXT); } | |
| else if (arg == "-tp" || arg == "--temperature") { params.temperature = std::stof(ARGV_NEXT); } | |
| else if (arg == "-tpi" || arg == "--temperature-inc") { params.temperature_inc = std::stof(ARGV_NEXT); } | |
| 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 == "-otxt" || arg == "--output-txt") { params.output_txt = true; } | |
| else if (arg == "-ovtt" || arg == "--output-vtt") { params.output_vtt = true; } | |
| else if (arg == "-osrt" || arg == "--output-srt") { params.output_srt = true; } | |
| else if (arg == "-owts" || arg == "--output-words") { params.output_wts = true; } | |
| else if (arg == "-olrc" || arg == "--output-lrc") { params.output_lrc = true; } | |
| else if (arg == "-fp" || arg == "--font-path") { params.font_path = ARGV_NEXT; } | |
| else if (arg == "-ocsv" || arg == "--output-csv") { params.output_csv = true; } | |
| else if (arg == "-oj" || arg == "--output-json") { params.output_jsn = true; } | |
| else if (arg == "-ojf" || arg == "--output-json-full"){ params.output_jsn_full = params.output_jsn = true; } | |
| else if (arg == "-of" || arg == "--output-file") { params.fname_out.emplace_back(ARGV_NEXT); } | |
| else if (arg == "-np" || arg == "--no-prints") { params.no_prints = true; } | |
| else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; } | |
| else if (arg == "-pc" || arg == "--print-colors") { params.print_colors = true; } | |
| else if (arg == "-pp" || arg == "--print-progress") { params.print_progress = true; } | |
| else if (arg == "-nt" || arg == "--no-timestamps") { params.no_timestamps = true; } | |
| else if (arg == "-l" || arg == "--language") { params.language = whisper_param_turn_lowercase(ARGV_NEXT); } | |
| else if (arg == "-dl" || arg == "--detect-language") { params.detect_language = true; } | |
| else if ( arg == "--prompt") { params.prompt = ARGV_NEXT; } | |
| else if (arg == "-m" || arg == "--model") { params.model = ARGV_NEXT; } | |
| else if (arg == "-f" || arg == "--file") { params.fname_inp.emplace_back(ARGV_NEXT); } | |
| else if (arg == "-oved" || arg == "--ov-e-device") { params.openvino_encode_device = ARGV_NEXT; } | |
| else if (arg == "-dtw" || arg == "--dtw") { params.dtw = ARGV_NEXT; } | |
| else if (arg == "-ls" || arg == "--log-score") { params.log_score = true; } | |
| else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; } | |
| else if (arg == "-fa" || arg == "--flash-attn") { params.flash_attn = true; } | |
| else if (arg == "-sns" || arg == "--suppress-nst") { params.suppress_nst = true; } | |
| else if ( arg == "--suppress-regex") { params.suppress_regex = ARGV_NEXT; } | |
| else if ( arg == "--grammar") { params.grammar = ARGV_NEXT; } | |
| else if ( arg == "--grammar-rule") { params.grammar_rule = ARGV_NEXT; } | |
| else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(ARGV_NEXT); } | |
| else { | |
| fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); | |
| whisper_print_usage(argc, argv, params); | |
| exit(0); | |
| } | |
| } | |
| return true; | |
| } | |
| static void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) { | |
| fprintf(stderr, "\n"); | |
| fprintf(stderr, "usage: %s [options] file0 file1 ...\n", argv[0]); | |
| fprintf(stderr, "supported audio formats: flac, mp3, ogg, wav\n"); | |
| 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, " -nth N, --no-speech-thold N [%-7.2f] no speech threshold\n", params.no_speech_thold); | |
| fprintf(stderr, " -tp, --temperature N [%-7.2f] The sampling temperature, between 0 and 1\n", params.temperature); | |
| fprintf(stderr, " -tpi, --temperature-inc N [%-7.2f] The increment of temperature, between 0 and 1\n",params.temperature_inc); | |
| 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, " -otxt, --output-txt [%-7s] output result in a text file\n", params.output_txt ? "true" : "false"); | |
| fprintf(stderr, " -ovtt, --output-vtt [%-7s] output result in a vtt file\n", params.output_vtt ? "true" : "false"); | |
| fprintf(stderr, " -osrt, --output-srt [%-7s] output result in a srt file\n", params.output_srt ? "true" : "false"); | |
| fprintf(stderr, " -olrc, --output-lrc [%-7s] output result in a lrc file\n", params.output_lrc ? "true" : "false"); | |
| fprintf(stderr, " -owts, --output-words [%-7s] output script for generating karaoke video\n", params.output_wts ? "true" : "false"); | |
| fprintf(stderr, " -fp, --font-path [%-7s] path to a monospace font for karaoke video\n", params.font_path.c_str()); | |
| fprintf(stderr, " -ocsv, --output-csv [%-7s] output result in a CSV file\n", params.output_csv ? "true" : "false"); | |
| fprintf(stderr, " -oj, --output-json [%-7s] output result in a JSON file\n", params.output_jsn ? "true" : "false"); | |
| fprintf(stderr, " -ojf, --output-json-full [%-7s] include more information in the JSON file\n", params.output_jsn_full ? "true" : "false"); | |
| fprintf(stderr, " -of FNAME, --output-file FNAME [%-7s] output file path (without file extension)\n", ""); | |
| fprintf(stderr, " -np, --no-prints [%-7s] do not print anything other than the results\n", params.no_prints ? "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, " -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 (max n_text_ctx/2 tokens)\n", params.prompt.c_str()); | |
| fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str()); | |
| fprintf(stderr, " -f FNAME, --file FNAME [%-7s] input audio file path\n", ""); | |
| fprintf(stderr, " -oved D, --ov-e-device DNAME [%-7s] the OpenVINO device used for encode inference\n", params.openvino_encode_device.c_str()); | |
| fprintf(stderr, " -dtw MODEL --dtw MODEL [%-7s] compute token-level timestamps\n", params.dtw.c_str()); | |
| fprintf(stderr, " -ls, --log-score [%-7s] log best decoder scores of tokens\n", params.log_score?"true":"false"); | |
| fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true"); | |
| fprintf(stderr, " -fa, --flash-attn [%-7s] flash attention\n", params.flash_attn ? "true" : "false"); | |
| fprintf(stderr, " -sns, --suppress-nst [%-7s] suppress non-speech tokens\n", params.suppress_nst ? "true" : "false"); | |
| fprintf(stderr, " --suppress-regex REGEX [%-7s] regular expression matching tokens to suppress\n", params.suppress_regex.c_str()); | |
| fprintf(stderr, " --grammar GRAMMAR [%-7s] GBNF grammar to guide decoding\n", params.grammar.c_str()); | |
| fprintf(stderr, " --grammar-rule RULE [%-7s] top-level GBNF grammar rule name\n", params.grammar_rule.c_str()); | |
| fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty); | |
| fprintf(stderr, "\n"); | |
| } | |
| struct whisper_print_user_data { | |
| const whisper_params * params; | |
| const std::vector<std::vector<float>> * pcmf32s; | |
| int progress_prev; | |
| }; | |
| static 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; | |
| } | |
| static 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); | |
| } | |
| } | |
| static 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); | |
| } | |
| } | |
| static bool output_txt(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) { | |
| std::ofstream fout(fname); | |
| if (!fout.is_open()) { | |
| fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
| return false; | |
| } | |
| fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
| const int n_segments = whisper_full_n_segments(ctx); | |
| for (int i = 0; i < n_segments; ++i) { | |
| const char * text = whisper_full_get_segment_text(ctx, i); | |
| 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); | |
| } | |
| fout << speaker << text << "\n"; | |
| } | |
| return true; | |
| } | |
| static bool output_vtt(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) { | |
| std::ofstream fout(fname); | |
| if (!fout.is_open()) { | |
| fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
| return false; | |
| } | |
| fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
| fout << "WEBVTT\n\n"; | |
| const int n_segments = whisper_full_n_segments(ctx); | |
| for (int i = 0; i < n_segments; ++i) { | |
| const char * text = whisper_full_get_segment_text(ctx, i); | |
| const int64_t t0 = whisper_full_get_segment_t0(ctx, i); | |
| const int64_t t1 = whisper_full_get_segment_t1(ctx, i); | |
| std::string speaker = ""; | |
| if (params.diarize && pcmf32s.size() == 2) | |
| { | |
| speaker = estimate_diarization_speaker(pcmf32s, t0, t1, true); | |
| speaker.insert(0, "<v Speaker"); | |
| speaker.append(">"); | |
| } | |
| fout << to_timestamp(t0) << " --> " << to_timestamp(t1) << "\n"; | |
| fout << speaker << text << "\n\n"; | |
| } | |
| return true; | |
| } | |
| static bool output_srt(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) { | |
| std::ofstream fout(fname); | |
| if (!fout.is_open()) { | |
| fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
| return false; | |
| } | |
| fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
| const int n_segments = whisper_full_n_segments(ctx); | |
| for (int i = 0; i < n_segments; ++i) { | |
| const char * text = whisper_full_get_segment_text(ctx, i); | |
| const int64_t t0 = whisper_full_get_segment_t0(ctx, i); | |
| const int64_t t1 = whisper_full_get_segment_t1(ctx, i); | |
| std::string speaker = ""; | |
| if (params.diarize && pcmf32s.size() == 2) | |
| { | |
| speaker = estimate_diarization_speaker(pcmf32s, t0, t1); | |
| } | |
| fout << i + 1 + params.offset_n << "\n"; | |
| fout << to_timestamp(t0, true) << " --> " << to_timestamp(t1, true) << "\n"; | |
| fout << speaker << text << "\n\n"; | |
| } | |
| return true; | |
| } | |
| static char * escape_double_quotes_and_backslashes(const char * str) { | |
| if (str == NULL) { | |
| return NULL; | |
| } | |
| size_t escaped_length = strlen(str) + 1; | |
| for (size_t i = 0; str[i] != '\0'; i++) { | |
| if (str[i] == '"' || str[i] == '\\') { | |
| escaped_length++; | |
| } | |
| } | |
| char * escaped = (char *)calloc(escaped_length, 1); // pre-zeroed | |
| if (escaped == NULL) { | |
| return NULL; | |
| } | |
| size_t pos = 0; | |
| for (size_t i = 0; str[i] != '\0'; i++) { | |
| if (str[i] == '"' || str[i] == '\\') { | |
| escaped[pos++] = '\\'; | |
| } | |
| escaped[pos++] = str[i]; | |
| } | |
| // no need to set zero due to calloc() being used prior | |
| return escaped; | |
| } | |
| // double quote should be escaped by another double quote. (rfc4180) | |
| static char * escape_double_quotes_in_csv(const char * str) { | |
| if (str == NULL) { | |
| return NULL; | |
| } | |
| size_t escaped_length = strlen(str) + 1; | |
| for (size_t i = 0; str[i] != '\0'; i++) { | |
| if (str[i] == '"') { | |
| escaped_length++; | |
| } | |
| } | |
| char *escaped = (char *)calloc(escaped_length, 1); // pre-zeroed | |
| if (escaped == NULL) { | |
| return NULL; | |
| } | |
| size_t pos = 0; | |
| for (size_t i = 0; str[i] != '\0'; i++) { | |
| if (str[i] == '"') { | |
| escaped[pos++] = '"'; | |
| } | |
| escaped[pos++] = str[i]; | |
| } | |
| // no need to set zero due to calloc() being used prior | |
| return escaped; | |
| } | |
| static bool output_csv(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) { | |
| std::ofstream fout(fname); | |
| if (!fout.is_open()) { | |
| fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
| return false; | |
| } | |
| fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
| const int n_segments = whisper_full_n_segments(ctx); | |
| fout << "start,end,"; | |
| if (params.diarize && pcmf32s.size() == 2) | |
| { | |
| fout << "speaker,"; | |
| } | |
| fout << "text\n"; | |
| 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); | |
| char * text_escaped = escape_double_quotes_in_csv(text); | |
| //need to multiply times returned from whisper_full_get_segment_t{0,1}() by 10 to get milliseconds. | |
| fout << 10 * t0 << "," << 10 * t1 << ","; | |
| if (params.diarize && pcmf32s.size() == 2) | |
| { | |
| fout << estimate_diarization_speaker(pcmf32s, t0, t1, true) << ","; | |
| } | |
| fout << "\"" << text_escaped << "\"\n"; | |
| } | |
| return true; | |
| } | |
| static bool output_score(struct whisper_context * ctx, const char * fname, const whisper_params & /*params*/, std::vector<std::vector<float>> /*pcmf32s*/) { | |
| std::ofstream fout(fname); | |
| fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
| const int n_segments = whisper_full_n_segments(ctx); | |
| // fprintf(stderr,"segments: %d\n",n_segments); | |
| for (int i = 0; i < n_segments; ++i) { | |
| const int n_tokens = whisper_full_n_tokens(ctx, i); | |
| // fprintf(stderr,"tokens: %d\n",n_tokens); | |
| for (int j = 0; j < n_tokens; j++) { | |
| auto token = whisper_full_get_token_text(ctx, i, j); | |
| auto probability = whisper_full_get_token_p(ctx, i, j); | |
| fout << token << '\t' << probability << std::endl; | |
| // fprintf(stderr,"token: %s %f\n",token,probability); | |
| } | |
| } | |
| return true; | |
| } | |
| static bool output_json( | |
| struct whisper_context * ctx, | |
| const char * fname, | |
| const whisper_params & params, | |
| std::vector<std::vector<float>> pcmf32s, | |
| bool full) { | |
| std::ofstream fout(fname); | |
| int indent = 0; | |
| auto doindent = [&]() { | |
| for (int i = 0; i < indent; i++) fout << "\t"; | |
| }; | |
| auto start_arr = [&](const char *name) { | |
| doindent(); | |
| fout << "\"" << name << "\": [\n"; | |
| indent++; | |
| }; | |
| auto end_arr = [&](bool end) { | |
| indent--; | |
| doindent(); | |
| fout << (end ? "]\n" : "],\n"); | |
| }; | |
| auto start_obj = [&](const char *name) { | |
| doindent(); | |
| if (name) { | |
| fout << "\"" << name << "\": {\n"; | |
| } else { | |
| fout << "{\n"; | |
| } | |
| indent++; | |
| }; | |
| auto end_obj = [&](bool end) { | |
| indent--; | |
| doindent(); | |
| fout << (end ? "}\n" : "},\n"); | |
| }; | |
| auto start_value = [&](const char *name) { | |
| doindent(); | |
| fout << "\"" << name << "\": "; | |
| }; | |
| auto value_s = [&](const char *name, const char *val, bool end) { | |
| start_value(name); | |
| char * val_escaped = escape_double_quotes_and_backslashes(val); | |
| fout << "\"" << val_escaped << (end ? "\"\n" : "\",\n"); | |
| free(val_escaped); | |
| }; | |
| auto end_value = [&](bool end) { | |
| fout << (end ? "\n" : ",\n"); | |
| }; | |
| auto value_i = [&](const char *name, const int64_t val, bool end) { | |
| start_value(name); | |
| fout << val; | |
| end_value(end); | |
| }; | |
| auto value_f = [&](const char *name, const float val, bool end) { | |
| start_value(name); | |
| fout << val; | |
| end_value(end); | |
| }; | |
| auto value_b = [&](const char *name, const bool val, bool end) { | |
| start_value(name); | |
| fout << (val ? "true" : "false"); | |
| end_value(end); | |
| }; | |
| auto times_o = [&](int64_t t0, int64_t t1, bool end) { | |
| start_obj("timestamps"); | |
| value_s("from", to_timestamp(t0, true).c_str(), false); | |
| value_s("to", to_timestamp(t1, true).c_str(), true); | |
| end_obj(false); | |
| start_obj("offsets"); | |
| value_i("from", t0 * 10, false); | |
| value_i("to", t1 * 10, true); | |
| end_obj(end); | |
| }; | |
| if (!fout.is_open()) { | |
| fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
| return false; | |
| } | |
| fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
| start_obj(nullptr); | |
| value_s("systeminfo", whisper_print_system_info(), false); | |
| start_obj("model"); | |
| value_s("type", whisper_model_type_readable(ctx), false); | |
| value_b("multilingual", whisper_is_multilingual(ctx), false); | |
| value_i("vocab", whisper_model_n_vocab(ctx), false); | |
| start_obj("audio"); | |
| value_i("ctx", whisper_model_n_audio_ctx(ctx), false); | |
| value_i("state", whisper_model_n_audio_state(ctx), false); | |
| value_i("head", whisper_model_n_audio_head(ctx), false); | |
| value_i("layer", whisper_model_n_audio_layer(ctx), true); | |
| end_obj(false); | |
| start_obj("text"); | |
| value_i("ctx", whisper_model_n_text_ctx(ctx), false); | |
| value_i("state", whisper_model_n_text_state(ctx), false); | |
| value_i("head", whisper_model_n_text_head(ctx), false); | |
| value_i("layer", whisper_model_n_text_layer(ctx), true); | |
| end_obj(false); | |
| value_i("mels", whisper_model_n_mels(ctx), false); | |
| value_i("ftype", whisper_model_ftype(ctx), true); | |
| end_obj(false); | |
| start_obj("params"); | |
| value_s("model", params.model.c_str(), false); | |
| value_s("language", params.language.c_str(), false); | |
| value_b("translate", params.translate, true); | |
| end_obj(false); | |
| start_obj("result"); | |
| value_s("language", whisper_lang_str(whisper_full_lang_id(ctx)), true); | |
| end_obj(false); | |
| start_arr("transcription"); | |
| 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); | |
| start_obj(nullptr); | |
| times_o(t0, t1, false); | |
| value_s("text", text, !params.diarize && !params.tinydiarize && !full); | |
| if (full) { | |
| start_arr("tokens"); | |
| const int n = whisper_full_n_tokens(ctx, i); | |
| for (int j = 0; j < n; ++j) { | |
| auto token = whisper_full_get_token_data(ctx, i, j); | |
| start_obj(nullptr); | |
| value_s("text", whisper_token_to_str(ctx, token.id), false); | |
| if(token.t0 > -1 && token.t1 > -1) { | |
| // If we have per-token timestamps, write them out | |
| times_o(token.t0, token.t1, false); | |
| } | |
| value_i("id", token.id, false); | |
| value_f("p", token.p, false); | |
| value_f("t_dtw", token.t_dtw, true); | |
| end_obj(j == (n - 1)); | |
| } | |
| end_arr(!params.diarize && !params.tinydiarize); | |
| } | |
| if (params.diarize && pcmf32s.size() == 2) { | |
| value_s("speaker", estimate_diarization_speaker(pcmf32s, t0, t1, true).c_str(), true); | |
| } | |
| if (params.tinydiarize) { | |
| value_b("speaker_turn_next", whisper_full_get_segment_speaker_turn_next(ctx, i), true); | |
| } | |
| end_obj(i == (n_segments - 1)); | |
| } | |
| end_arr(true); | |
| end_obj(true); | |
| return true; | |
| } | |
| // karaoke video generation | |
| // outputs a bash script that uses ffmpeg to generate a video with the subtitles | |
| // TODO: font parameter adjustments | |
| static bool output_wts(struct whisper_context * ctx, const char * fname, const char * fname_inp, const whisper_params & params, float t_sec, std::vector<std::vector<float>> pcmf32s) { | |
| std::ofstream fout(fname); | |
| fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
| static const char * font = params.font_path.c_str(); | |
| std::ifstream fin(font); | |
| if (!fin.is_open()) { | |
| fprintf(stderr, "%s: font not found at '%s', please specify a monospace font with -fp\n", __func__, font); | |
| return false; | |
| } | |
| fout << "#!/bin/bash" << "\n"; | |
| fout << "\n"; | |
| fout << "ffmpeg -i " << fname_inp << " -f lavfi -i color=size=1200x120:duration=" << t_sec << ":rate=25:color=black -vf \""; | |
| for (int i = 0; i < whisper_full_n_segments(ctx); i++) { | |
| const int64_t t0 = whisper_full_get_segment_t0(ctx, i); | |
| const int64_t t1 = whisper_full_get_segment_t1(ctx, i); | |
| const int n = whisper_full_n_tokens(ctx, i); | |
| std::vector<whisper_token_data> tokens(n); | |
| for (int j = 0; j < n; ++j) { | |
| tokens[j] = whisper_full_get_token_data(ctx, i, j); | |
| } | |
| if (i > 0) { | |
| fout << ","; | |
| } | |
| // background text | |
| fout << "drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='':enable='between(t," << t0/100.0 << "," << t0/100.0 << ")'"; | |
| bool is_first = true; | |
| std::string speaker = ""; | |
| if (params.diarize && pcmf32s.size() == 2) { | |
| speaker = estimate_diarization_speaker(pcmf32s, t0, t1); | |
| } | |
| for (int j = 0; j < n; ++j) { | |
| const auto & token = tokens[j]; | |
| if (tokens[j].id >= whisper_token_eot(ctx)) { | |
| continue; | |
| } | |
| std::string txt_bg = ""; | |
| std::string txt_fg = ""; // highlight token | |
| std::string txt_ul = ""; // underline | |
| if (params.diarize && pcmf32s.size() == 2) { | |
| txt_bg = speaker; | |
| txt_fg = speaker; | |
| txt_ul = "\\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ "; | |
| } | |
| txt_bg.append("> "); | |
| txt_fg.append("> "); | |
| txt_ul.append("\\ \\ "); | |
| { | |
| for (int k = 0; k < n; ++k) { | |
| const auto & token2 = tokens[k]; | |
| if (tokens[k].id >= whisper_token_eot(ctx)) { | |
| continue; | |
| } | |
| const std::string txt = whisper_token_to_str(ctx, token2.id); | |
| txt_bg += txt; | |
| if (k == j) { | |
| for (int l = 0; l < (int) txt.size(); ++l) { | |
| txt_fg += txt[l]; | |
| txt_ul += "_"; | |
| } | |
| txt_fg += "|"; | |
| } else { | |
| for (int l = 0; l < (int) txt.size(); ++l) { | |
| txt_fg += "\\ "; | |
| txt_ul += "\\ "; | |
| } | |
| } | |
| } | |
| ::replace_all(txt_bg, "'", "\u2019"); | |
| ::replace_all(txt_bg, "\"", "\\\""); | |
| ::replace_all(txt_fg, "'", "\u2019"); | |
| ::replace_all(txt_fg, "\"", "\\\""); | |
| } | |
| if (is_first) { | |
| // background text | |
| fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=gray:x=(w-text_w)/2:y=h/2:text='" << txt_bg << "':enable='between(t," << t0/100.0 << "," << t1/100.0 << ")'"; | |
| is_first = false; | |
| } | |
| // foreground text | |
| fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=lightgreen:x=(w-text_w)/2+8:y=h/2:text='" << txt_fg << "':enable='between(t," << token.t0/100.0 << "," << token.t1/100.0 << ")'"; | |
| // underline | |
| fout << ",drawtext=fontfile='" << font << "':fontsize=24:fontcolor=lightgreen:x=(w-text_w)/2+8:y=h/2+16:text='" << txt_ul << "':enable='between(t," << token.t0/100.0 << "," << token.t1/100.0 << ")'"; | |
| } | |
| } | |
| fout << "\" -c:v libx264 -pix_fmt yuv420p -y " << fname_inp << ".mp4" << "\n"; | |
| fout << "\n\n"; | |
| fout << "echo \"Your video has been saved to " << fname_inp << ".mp4\"" << "\n"; | |
| fout << "\n"; | |
| fout << "echo \" ffplay " << fname_inp << ".mp4\"\n"; | |
| fout << "\n"; | |
| fout.close(); | |
| fprintf(stderr, "%s: run 'source %s' to generate karaoke video\n", __func__, fname); | |
| return true; | |
| } | |
| static bool output_lrc(struct whisper_context * ctx, const char * fname, const whisper_params & params, std::vector<std::vector<float>> pcmf32s) { | |
| std::ofstream fout(fname); | |
| if (!fout.is_open()) { | |
| fprintf(stderr, "%s: failed to open '%s' for writing\n", __func__, fname); | |
| return false; | |
| } | |
| fprintf(stderr, "%s: saving output to '%s'\n", __func__, fname); | |
| fout << "[by:whisper.cpp]\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 t = whisper_full_get_segment_t0(ctx, i); | |
| int64_t msec = t * 10; | |
| int64_t min = msec / (1000 * 60); | |
| msec = msec - min * (1000 * 60); | |
| int64_t sec = msec / 1000; | |
| msec = msec - sec * 1000; | |
| char buf[16]; | |
| snprintf(buf, sizeof(buf), "%02d:%02d.%02d", (int) min, (int) sec, (int) ( msec / 10)); | |
| std::string timestamp_lrc = std::string(buf); | |
| 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); | |
| } | |
| fout << '[' << timestamp_lrc << ']' << speaker << text << "\n"; | |
| } | |
| return true; | |
| } | |
| static void cb_log_disable(enum ggml_log_level , const char * , void * ) { } | |
| int main(int argc, char ** argv) { | |
| // Set the console output code page to UTF-8, while command line arguments | |
| // are still encoded in the system's code page. In this way, we can print | |
| // non-ASCII characters to the console, and access files with non-ASCII paths. | |
| SetConsoleOutputCP(CP_UTF8); | |
| whisper_params params; | |
| // If the only argument starts with "@", read arguments line-by-line | |
| // from the given file. | |
| std::vector<std::string> vec_args; | |
| if (argc == 2 && argv != nullptr && argv[1] != nullptr && argv[1][0] == '@') { | |
| // Save the name of the executable. | |
| vec_args.push_back(argv[0]); | |
| // Open the response file. | |
| char const * rspfile = argv[1] + sizeof(char); | |
| std::ifstream fin(rspfile); | |
| if (fin.is_open() == false) { | |
| fprintf(stderr, "error: response file '%s' not found\n", rspfile); | |
| return 1; | |
| } | |
| // Read the entire response file. | |
| std::string line; | |
| while (std::getline(fin, line)) { | |
| vec_args.push_back(line); | |
| } | |
| // Use the contents of the response file as the command-line arguments. | |
| argc = static_cast<int>(vec_args.size()); | |
| argv = static_cast<char **>(alloca(argc * sizeof (char *))); | |
| for (int i = 0; i < argc; ++i) { | |
| argv[i] = const_cast<char *>(vec_args[i].c_str()); | |
| } | |
| } | |
| if (whisper_params_parse(argc, argv, params) == false) { | |
| whisper_print_usage(argc, argv, params); | |
| return 1; | |
| } | |
| // remove non-existent files | |
| for (auto it = params.fname_inp.begin(); it != params.fname_inp.end();) { | |
| const auto fname_inp = it->c_str(); | |
| if (*it != "-" && !is_file_exist(fname_inp)) { | |
| fprintf(stderr, "error: input file not found '%s'\n", fname_inp); | |
| it = params.fname_inp.erase(it); | |
| continue; | |
| } | |
| it++; | |
| } | |
| if (params.fname_inp.empty()) { | |
| fprintf(stderr, "error: no input files specified\n"); | |
| whisper_print_usage(argc, argv, params); | |
| return 2; | |
| } | |
| if (params.language != "auto" && whisper_lang_id(params.language.c_str()) == -1) { | |
| fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str()); | |
| whisper_print_usage(argc, argv, params); | |
| exit(0); | |
| } | |
| if (params.diarize && params.tinydiarize) { | |
| fprintf(stderr, "error: cannot use both --diarize and --tinydiarize\n"); | |
| whisper_print_usage(argc, argv, params); | |
| exit(0); | |
| } | |
| if (params.no_prints) { | |
| whisper_log_set(cb_log_disable, NULL); | |
| } | |
| // 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 (params.dtw == "large.v3.turbo") cparams.dtw_aheads_preset = WHISPER_AHEADS_LARGE_V3_TURBO; | |
| 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); | |
| if (!params.grammar.empty()) { | |
| auto & grammar = params.grammar_parsed; | |
| if (is_file_exist(params.grammar.c_str())) { | |
| // read grammar from file | |
| std::ifstream ifs(params.grammar.c_str()); | |
| const std::string txt = std::string((std::istreambuf_iterator<char>(ifs)), std::istreambuf_iterator<char>()); | |
| grammar = grammar_parser::parse(txt.c_str()); | |
| } else { | |
| // read grammar from string | |
| grammar = grammar_parser::parse(params.grammar.c_str()); | |
| } | |
| // will be empty (default) if there are parse errors | |
| if (grammar.rules.empty()) { | |
| fprintf(stderr, "error: failed to parse grammar \"%s\"\n", params.grammar.c_str()); | |
| return 4; | |
| } else { | |
| fprintf(stderr, "%s: grammar:\n", __func__); | |
| grammar_parser::print_grammar(stderr, grammar); | |
| fprintf(stderr, "\n"); | |
| } | |
| } | |
| for (int f = 0; f < (int) params.fname_inp.size(); ++f) { | |
| const auto fname_inp = params.fname_inp[f]; | |
| const auto fname_out = f < (int) params.fname_out.size() && !params.fname_out[f].empty() ? params.fname_out[f] : params.fname_inp[f]; | |
| std::vector<float> pcmf32; // mono-channel F32 PCM | |
| std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM | |
| if (!::read_audio_data(fname_inp, pcmf32, pcmf32s, params.diarize)) { | |
| fprintf(stderr, "error: failed to read audio file '%s'\n", fname_inp.c_str()); | |
| continue; | |
| } | |
| 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"; | |
| } | |
| if (!params.no_prints) { | |
| // 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"); | |
| fprintf(stderr, "%s: processing '%s' (%d samples, %.1f sec), %d threads, %d processors, %d beams + best of %d, lang = %s, task = %s, %stimestamps = %d ...\n", | |
| __func__, fname_inp.c_str(), int(pcmf32.size()), float(pcmf32.size())/WHISPER_SAMPLE_RATE, | |
| params.n_threads, params.n_processors, params.beam_size, params.best_of, | |
| params.language.c_str(), | |
| params.translate ? "translate" : "transcribe", | |
| params.tinydiarize ? "tdrz = 1, " : "", | |
| params.no_timestamps ? 0 : 1); | |
| fprintf(stderr, "\n"); | |
| } | |
| // run the inference | |
| { | |
| whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY); | |
| const bool use_grammar = (!params.grammar_parsed.rules.empty() && !params.grammar_rule.empty()); | |
| wparams.strategy = (params.beam_size > 1 || use_grammar) ? 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.token_timestamps = params.output_wts || params.output_jsn_full || params.max_len > 0; | |
| wparams.thold_pt = params.word_thold; | |
| wparams.max_len = params.output_wts && params.max_len == 0 ? 60 : params.max_len; | |
| wparams.split_on_word = params.split_on_word; | |
| wparams.audio_ctx = params.audio_ctx; | |
| wparams.debug_mode = params.debug_mode; | |
| wparams.tdrz_enable = params.tinydiarize; // [TDRZ] | |
| wparams.suppress_regex = params.suppress_regex.empty() ? nullptr : params.suppress_regex.c_str(); | |
| 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.no_fallback ? 0.0f : params.temperature_inc; | |
| wparams.temperature = params.temperature; | |
| wparams.entropy_thold = params.entropy_thold; | |
| wparams.logprob_thold = params.logprob_thold; | |
| wparams.no_speech_thold = params.no_speech_thold; | |
| wparams.no_timestamps = params.no_timestamps; | |
| wparams.suppress_nst = params.suppress_nst; | |
| whisper_print_user_data user_data = { ¶ms, &pcmf32s, 0 }; | |
| const auto & grammar_parsed = params.grammar_parsed; | |
| auto grammar_rules = grammar_parsed.c_rules(); | |
| if (use_grammar) { | |
| if (grammar_parsed.symbol_ids.find(params.grammar_rule) == grammar_parsed.symbol_ids.end()) { | |
| fprintf(stderr, "%s: warning: grammar rule '%s' not found - skipping grammar sampling\n", __func__, params.grammar_rule.c_str()); | |
| } else { | |
| wparams.grammar_rules = grammar_rules.data(); | |
| wparams.n_grammar_rules = grammar_rules.size(); | |
| wparams.i_start_rule = grammar_parsed.symbol_ids.at(params.grammar_rule); | |
| wparams.grammar_penalty = params.grammar_penalty; | |
| } | |
| } | |
| // 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]); | |
| return 10; | |
| } | |
| } | |
| // output stuff | |
| { | |
| printf("\n"); | |
| // output to text file | |
| if (params.output_txt) { | |
| const auto fname_txt = fname_out + ".txt"; | |
| output_txt(ctx, fname_txt.c_str(), params, pcmf32s); | |
| } | |
| // output to VTT file | |
| if (params.output_vtt) { | |
| const auto fname_vtt = fname_out + ".vtt"; | |
| output_vtt(ctx, fname_vtt.c_str(), params, pcmf32s); | |
| } | |
| // output to SRT file | |
| if (params.output_srt) { | |
| const auto fname_srt = fname_out + ".srt"; | |
| output_srt(ctx, fname_srt.c_str(), params, pcmf32s); | |
| } | |
| // output to WTS file | |
| if (params.output_wts) { | |
| const auto fname_wts = fname_out + ".wts"; | |
| output_wts(ctx, fname_wts.c_str(), fname_inp.c_str(), params, float(pcmf32.size() + 1000)/WHISPER_SAMPLE_RATE, pcmf32s); | |
| } | |
| // output to CSV file | |
| if (params.output_csv) { | |
| const auto fname_csv = fname_out + ".csv"; | |
| output_csv(ctx, fname_csv.c_str(), params, pcmf32s); | |
| } | |
| // output to JSON file | |
| if (params.output_jsn) { | |
| const auto fname_jsn = fname_out + ".json"; | |
| output_json(ctx, fname_jsn.c_str(), params, pcmf32s, params.output_jsn_full); | |
| } | |
| // output to LRC file | |
| if (params.output_lrc) { | |
| const auto fname_lrc = fname_out + ".lrc"; | |
| output_lrc(ctx, fname_lrc.c_str(), params, pcmf32s); | |
| } | |
| // output to score file | |
| if (params.log_score) { | |
| const auto fname_score = fname_out + ".score.txt"; | |
| output_score(ctx, fname_score.c_str(), params, pcmf32s); | |
| } | |
| } | |
| } | |
| if (!params.no_prints) { | |
| whisper_print_timings(ctx); | |
| } | |
| whisper_free(ctx); | |
| return 0; | |
| } | |