mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-23 22:42:22 +00:00
771 lines
29 KiB
C++
771 lines
29 KiB
C++
// Voice assistant example
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//
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// Speak short text commands to the microphone.
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// This program will detect your voice command and convert them to text.
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//
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// ref: https://github.com/ggerganov/whisper.cpp/issues/171
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//
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#include "common-sdl.h"
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#include "common.h"
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#include "whisper.h"
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#include "grammar-parser.h"
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#include <sstream>
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#include <cassert>
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#include <cstdio>
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#include <fstream>
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#include <mutex>
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#include <regex>
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#include <string>
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#include <thread>
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#include <vector>
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#include <map>
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// command-line parameters
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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 prompt_ms = 5000;
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int32_t command_ms = 8000;
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int32_t capture_id = -1;
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int32_t max_tokens = 32;
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int32_t audio_ctx = 0;
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float vad_thold = 0.6f;
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float freq_thold = 100.0f;
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float grammar_penalty = 100.0f;
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grammar_parser::parse_state grammar_parsed;
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bool speed_up = false;
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bool translate = false;
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bool print_special = false;
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bool print_energy = false;
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bool no_timestamps = true;
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bool use_gpu = true;
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std::string language = "en";
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std::string model = "models/ggml-base.en.bin";
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std::string fname_out;
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std::string commands;
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std::string prompt;
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std::string context;
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std::string grammar;
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};
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
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bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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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);
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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 == "-pms" || arg == "--prompt-ms") { params.prompt_ms = std::stoi(argv[++i]); }
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else if (arg == "-cms" || arg == "--command-ms") { params.command_ms = std::stoi(argv[++i]); }
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else if (arg == "-c" || arg == "--capture") { params.capture_id = std::stoi(argv[++i]); }
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else if (arg == "-mt" || arg == "--max-tokens") { params.max_tokens = std::stoi(argv[++i]); }
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else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); }
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else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); }
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else if (arg == "-fth" || arg == "--freq-thold") { params.freq_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 == "-tr" || arg == "--translate") { params.translate = true; }
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else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; }
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else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; }
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else if (arg == "-ng" || arg == "--no-gpu") { params.use_gpu = false; }
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else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
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else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; }
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else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; }
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else if (arg == "-cmd" || arg == "--commands") { params.commands = argv[++i]; }
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else if (arg == "-p" || arg == "--prompt") { params.prompt = argv[++i]; }
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else if (arg == "-ctx" || arg == "--context") { params.context = argv[++i]; }
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else if ( arg == "--grammar") { params.grammar = argv[++i]; }
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else if ( arg == "--grammar-penalty") { params.grammar_penalty = std::stof(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);
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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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void whisper_print_usage(int /*argc*/, char ** argv, const whisper_params & params) {
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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, " -pms N, --prompt-ms N [%-7d] prompt duration in milliseconds\n", params.prompt_ms);
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fprintf(stderr, " -cms N, --command-ms N [%-7d] command duration in milliseconds\n", params.command_ms);
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fprintf(stderr, " -c ID, --capture ID [%-7d] capture device ID\n", params.capture_id);
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fprintf(stderr, " -mt N, --max-tokens N [%-7d] maximum number of tokens per audio chunk\n", params.max_tokens);
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fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx);
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fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold);
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fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_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, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "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, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false");
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fprintf(stderr, " -ng, --no-gpu [%-7s] disable GPU\n", params.use_gpu ? "false" : "true");
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fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.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, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str());
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fprintf(stderr, " -cmd FNAME, --commands FNAME [%-7s] text file with allowed commands\n", params.commands.c_str());
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fprintf(stderr, " -p, --prompt [%-7s] the required activation prompt\n", params.prompt.c_str());
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fprintf(stderr, " -ctx, --context [%-7s] sample text to help the transcription\n", params.context.c_str());
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fprintf(stderr, " --grammar GRAMMAR [%-7s] GBNF grammar to guide decoding\n", params.grammar.c_str());
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fprintf(stderr, " --grammar-penalty N [%-7.1f] scales down logits of nongrammar tokens\n", params.grammar_penalty);
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fprintf(stderr, "\n");
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}
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std::string transcribe(
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whisper_context * ctx,
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const whisper_params & params,
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const std::vector<float> & pcmf32,
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const std::string & grammar_rule,
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float & logprob_min,
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float & logprob_sum,
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int & n_tokens,
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int64_t & t_ms) {
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const auto t_start = std::chrono::high_resolution_clock::now();
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logprob_min = 0.0f;
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logprob_sum = 0.0f;
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n_tokens = 0;
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t_ms = 0;
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//whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
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whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_BEAM_SEARCH);
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wparams.print_progress = false;
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wparams.print_special = params.print_special;
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wparams.print_realtime = false;
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wparams.print_timestamps = !params.no_timestamps;
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wparams.translate = params.translate;
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wparams.no_context = true;
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wparams.no_timestamps = params.no_timestamps;
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wparams.single_segment = true;
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wparams.max_tokens = params.max_tokens;
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wparams.language = params.language.c_str();
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wparams.n_threads = params.n_threads;
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wparams.audio_ctx = params.audio_ctx;
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wparams.speed_up = params.speed_up;
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wparams.temperature = 0.4f;
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wparams.temperature_inc = 1.0f;
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wparams.greedy.best_of = 5;
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wparams.beam_search.beam_size = 5;
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wparams.initial_prompt = params.context.data();
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const auto & grammar_parsed = params.grammar_parsed;
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auto grammar_rules = grammar_parsed.c_rules();
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if (!params.grammar_parsed.rules.empty() && !grammar_rule.empty()) {
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if (grammar_parsed.symbol_ids.find(grammar_rule) == grammar_parsed.symbol_ids.end()) {
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fprintf(stderr, "%s: warning: grammar rule '%s' not found - skipping grammar sampling\n", __func__, grammar_rule.c_str());
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} else {
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wparams.grammar_rules = grammar_rules.data();
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wparams.n_grammar_rules = grammar_rules.size();
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wparams.i_start_rule = grammar_parsed.symbol_ids.at(grammar_rule);
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wparams.grammar_penalty = params.grammar_penalty;
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}
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}
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if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
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return "";
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}
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std::string 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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result += text;
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const int n = whisper_full_n_tokens(ctx, i);
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for (int j = 0; j < n; ++j) {
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const auto token = whisper_full_get_token_data(ctx, i, j);
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if(token.plog > 0.0f) exit(0);
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logprob_min = std::min(logprob_min, token.plog);
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logprob_sum += token.plog;
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++n_tokens;
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}
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}
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const auto t_end = std::chrono::high_resolution_clock::now();
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t_ms = std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count();
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return result;
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}
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std::vector<std::string> read_allowed_commands(const std::string & fname) {
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std::vector<std::string> allowed_commands;
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std::ifstream ifs(fname);
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if (!ifs.is_open()) {
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return allowed_commands;
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}
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std::string line;
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while (std::getline(ifs, line)) {
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line = ::trim(line);
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if (line.empty()) {
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continue;
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}
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std::transform(line.begin(), line.end(),line.begin(), ::tolower);
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allowed_commands.push_back(std::move(line));
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}
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return allowed_commands;
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}
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std::vector<std::string> get_words(const std::string &txt) {
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std::vector<std::string> words;
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std::istringstream iss(txt);
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std::string word;
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while (iss >> word) {
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words.push_back(word);
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}
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return words;
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}
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// command-list mode
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// guide the transcription to match the most likely command from a provided list
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int process_command_list(struct whisper_context * ctx, audio_async &audio, const whisper_params ¶ms) {
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fprintf(stderr, "\n");
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fprintf(stderr, "%s: guided mode\n", __func__);
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std::vector<std::string> allowed_commands = read_allowed_commands(params.commands);
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if (allowed_commands.empty()) {
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fprintf(stderr, "%s: error: failed to read allowed commands from '%s'\n", __func__, params.commands.c_str());
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return 2;
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}
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int max_len = 0;
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std::vector<std::vector<whisper_token>> allowed_tokens;
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for (const auto & cmd : allowed_commands) {
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whisper_token tokens[1024];
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allowed_tokens.emplace_back();
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for (int l = 0; l < (int) cmd.size(); ++l) {
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// NOTE: very important to add the whitespace !
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// the reason is that the first decoded token starts with a whitespace too!
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std::string ss = std::string(" ") + cmd.substr(0, l + 1);
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const int n = whisper_tokenize(ctx, ss.c_str(), tokens, 1024);
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if (n < 0) {
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fprintf(stderr, "%s: error: failed to tokenize command '%s'\n", __func__, cmd.c_str());
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return 3;
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}
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if (n == 1) {
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allowed_tokens.back().push_back(tokens[0]);
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}
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}
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max_len = std::max(max_len, (int) cmd.size());
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}
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fprintf(stderr, "%s: allowed commands [ tokens ]:\n", __func__);
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fprintf(stderr, "\n");
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for (int i = 0; i < (int) allowed_commands.size(); ++i) {
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fprintf(stderr, " - \033[1m%-*s\033[0m = [", max_len, allowed_commands[i].c_str());
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for (const auto & token : allowed_tokens[i]) {
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fprintf(stderr, " %5d", token);
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}
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fprintf(stderr, " ]\n");
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}
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std::string k_prompt = "select one from the available words: ";
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for (int i = 0; i < (int) allowed_commands.size(); ++i) {
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if (i > 0) {
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k_prompt += ", ";
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}
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k_prompt += allowed_commands[i];
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}
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k_prompt += ". selected word: ";
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// tokenize prompt
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std::vector<whisper_token> k_tokens;
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{
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k_tokens.resize(1024);
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const int n = whisper_tokenize(ctx, k_prompt.c_str(), k_tokens.data(), 1024);
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if (n < 0) {
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fprintf(stderr, "%s: error: failed to tokenize prompt '%s'\n", __func__, k_prompt.c_str());
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return 4;
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}
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k_tokens.resize(n);
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}
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fprintf(stderr, "\n");
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fprintf(stderr, "%s: prompt: '%s'\n", __func__, k_prompt.c_str());
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fprintf(stderr, "%s: tokens: [", __func__);
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for (const auto & token : k_tokens) {
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fprintf(stderr, " %d", token);
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}
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fprintf(stderr, " ]\n");
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fprintf(stderr, "\n");
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fprintf(stderr, "%s: listening for a command ...\n", __func__);
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fprintf(stderr, "\n");
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bool is_running = true;
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std::vector<float> pcmf32_cur;
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std::vector<float> pcmf32_prompt;
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// main loop
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while (is_running) {
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// handle Ctrl + C
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is_running = sdl_poll_events();
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// delay
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std::this_thread::sleep_for(std::chrono::milliseconds(100));
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audio.get(2000, pcmf32_cur);
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if (::vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1000, params.vad_thold, params.freq_thold, params.print_energy)) {
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fprintf(stdout, "%s: Speech detected! Processing ...\n", __func__);
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const auto t_start = std::chrono::high_resolution_clock::now();
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whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
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wparams.print_progress = false;
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wparams.print_special = params.print_special;
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wparams.print_realtime = false;
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wparams.print_timestamps = !params.no_timestamps;
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wparams.translate = params.translate;
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wparams.no_context = true;
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wparams.single_segment = true;
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wparams.max_tokens = 1;
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wparams.language = params.language.c_str();
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wparams.n_threads = params.n_threads;
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wparams.audio_ctx = params.audio_ctx;
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wparams.speed_up = params.speed_up;
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wparams.prompt_tokens = k_tokens.data();
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wparams.prompt_n_tokens = k_tokens.size();
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// run the transformer and a single decoding pass
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if (whisper_full(ctx, wparams, pcmf32_cur.data(), pcmf32_cur.size()) != 0) {
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fprintf(stderr, "%s: ERROR: whisper_full() failed\n", __func__);
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break;
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}
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// estimate command probability
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// NOTE: not optimal
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{
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const auto * logits = whisper_get_logits(ctx);
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std::vector<float> probs(whisper_n_vocab(ctx), 0.0f);
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// compute probs from logits via softmax
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{
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float max = -1e9;
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for (int i = 0; i < (int) probs.size(); ++i) {
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max = std::max(max, logits[i]);
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}
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float sum = 0.0f;
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for (int i = 0; i < (int) probs.size(); ++i) {
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probs[i] = expf(logits[i] - max);
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sum += probs[i];
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}
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for (int i = 0; i < (int) probs.size(); ++i) {
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probs[i] /= sum;
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}
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}
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std::vector<std::pair<float, int>> probs_id;
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double psum = 0.0;
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for (int i = 0; i < (int) allowed_commands.size(); ++i) {
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probs_id.emplace_back(probs[allowed_tokens[i][0]], i);
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for (int j = 1; j < (int) allowed_tokens[i].size(); ++j) {
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probs_id.back().first += probs[allowed_tokens[i][j]];
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}
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probs_id.back().first /= allowed_tokens[i].size();
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psum += probs_id.back().first;
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}
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// normalize
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for (auto & p : probs_id) {
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p.first /= psum;
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}
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// sort descending
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{
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using pair_type = decltype(probs_id)::value_type;
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std::sort(probs_id.begin(), probs_id.end(), [](const pair_type & a, const pair_type & b) {
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return a.first > b.first;
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});
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}
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// print the commands and the respective probabilities
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{
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fprintf(stdout, "\n");
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for (const auto & cmd : probs_id) {
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fprintf(stdout, "%s: %s%-*s%s = %f | ", __func__, "\033[1m", max_len, allowed_commands[cmd.second].c_str(), "\033[0m", cmd.first);
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for (int token : allowed_tokens[cmd.second]) {
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fprintf(stdout, "'%4s' %f ", whisper_token_to_str(ctx, token), probs[token]);
|
|
}
|
|
fprintf(stdout, "\n");
|
|
}
|
|
}
|
|
|
|
// best command
|
|
{
|
|
const auto t_end = std::chrono::high_resolution_clock::now();
|
|
|
|
const float prob = probs_id[0].first;
|
|
const int index = probs_id[0].second;
|
|
|
|
fprintf(stdout, "\n");
|
|
fprintf(stdout, "%s: detected command: %s%s%s | p = %f | t = %d ms\n", __func__,
|
|
"\033[1m", allowed_commands[index].c_str(), "\033[0m", prob,
|
|
(int) std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count());
|
|
fprintf(stdout, "\n");
|
|
}
|
|
}
|
|
|
|
audio.clear();
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
// always-prompt mode
|
|
// transcribe the voice into text after valid prompt
|
|
int always_prompt_transcription(struct whisper_context * ctx, audio_async & audio, const whisper_params & params) {
|
|
bool is_running = true;
|
|
bool ask_prompt = true;
|
|
|
|
float logprob_min = 0.0f;
|
|
float logprob_sum = 0.0f;
|
|
int n_tokens = 0;
|
|
|
|
std::vector<float> pcmf32_cur;
|
|
|
|
const std::string k_prompt = params.prompt;
|
|
|
|
const int k_prompt_length = get_words(k_prompt).size();
|
|
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "%s: always-prompt mode\n", __func__);
|
|
|
|
// main loop
|
|
while (is_running) {
|
|
// handle Ctrl + C
|
|
is_running = sdl_poll_events();
|
|
|
|
// delay
|
|
std::this_thread::sleep_for(std::chrono::milliseconds(100));
|
|
|
|
if (ask_prompt) {
|
|
fprintf(stdout, "\n");
|
|
fprintf(stdout, "%s: The prompt is: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m");
|
|
fprintf(stdout, "\n");
|
|
|
|
ask_prompt = false;
|
|
}
|
|
|
|
{
|
|
audio.get(2000, pcmf32_cur);
|
|
|
|
if (::vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1000, params.vad_thold, params.freq_thold, params.print_energy)) {
|
|
fprintf(stdout, "%s: Speech detected! Processing ...\n", __func__);
|
|
|
|
int64_t t_ms = 0;
|
|
|
|
// detect the commands
|
|
audio.get(params.command_ms, pcmf32_cur);
|
|
|
|
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "", logprob_min, logprob_sum, n_tokens, t_ms));
|
|
|
|
const auto words = get_words(txt);
|
|
|
|
std::string prompt;
|
|
std::string command;
|
|
|
|
for (int i = 0; i < (int) words.size(); ++i) {
|
|
if (i < k_prompt_length) {
|
|
prompt += words[i] + " ";
|
|
} else {
|
|
command += words[i] + " ";
|
|
}
|
|
}
|
|
|
|
const float sim = similarity(prompt, k_prompt);
|
|
|
|
//debug
|
|
//fprintf(stdout, "command size: %i\n", command_length);
|
|
|
|
if ((sim > 0.7f) && (command.size() > 0)) {
|
|
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
|
|
}
|
|
|
|
fprintf(stdout, "\n");
|
|
|
|
audio.clear();
|
|
}
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
// general-purpose mode
|
|
// freely transcribe the voice into text
|
|
int process_general_transcription(struct whisper_context * ctx, audio_async & audio, const whisper_params & params) {
|
|
bool is_running = true;
|
|
bool have_prompt = false;
|
|
bool ask_prompt = true;
|
|
|
|
float logprob_min0 = 0.0f;
|
|
float logprob_min = 0.0f;
|
|
|
|
float logprob_sum0 = 0.0f;
|
|
float logprob_sum = 0.0f;
|
|
|
|
int n_tokens0 = 0;
|
|
int n_tokens = 0;
|
|
|
|
std::vector<float> pcmf32_cur;
|
|
std::vector<float> pcmf32_prompt;
|
|
|
|
std::string k_prompt = "Ok Whisper, start listening for commands.";
|
|
if (!params.prompt.empty()) {
|
|
k_prompt = params.prompt;
|
|
}
|
|
|
|
fprintf(stderr, "\n");
|
|
fprintf(stderr, "%s: general-purpose mode\n", __func__);
|
|
|
|
// main loop
|
|
while (is_running) {
|
|
// handle Ctrl + C
|
|
is_running = sdl_poll_events();
|
|
|
|
// delay
|
|
std::this_thread::sleep_for(std::chrono::milliseconds(100));
|
|
|
|
if (ask_prompt) {
|
|
fprintf(stdout, "\n");
|
|
fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m");
|
|
fprintf(stdout, "\n");
|
|
|
|
ask_prompt = false;
|
|
}
|
|
|
|
{
|
|
audio.get(2000, pcmf32_cur);
|
|
|
|
if (::vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1000, params.vad_thold, params.freq_thold, params.print_energy)) {
|
|
fprintf(stdout, "%s: Speech detected! Processing ...\n", __func__);
|
|
|
|
int64_t t_ms = 0;
|
|
|
|
if (!have_prompt) {
|
|
// wait for activation phrase
|
|
audio.get(params.prompt_ms, pcmf32_cur);
|
|
|
|
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "prompt", logprob_min0, logprob_sum0, n_tokens0, t_ms));
|
|
|
|
const float p = 100.0f * std::exp(logprob_min0);
|
|
|
|
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms, p = %.2f%%)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms, p);
|
|
|
|
const float sim = similarity(txt, k_prompt);
|
|
|
|
if (txt.length() < 0.8*k_prompt.length() || txt.length() > 1.2*k_prompt.length() || sim < 0.8f) {
|
|
fprintf(stdout, "%s: WARNING: prompt not recognized, try again\n", __func__);
|
|
ask_prompt = true;
|
|
} else {
|
|
fprintf(stdout, "\n");
|
|
fprintf(stdout, "%s: The prompt has been recognized!\n", __func__);
|
|
fprintf(stdout, "%s: Waiting for voice commands ...\n", __func__);
|
|
fprintf(stdout, "\n");
|
|
|
|
// save the audio for the prompt
|
|
pcmf32_prompt = pcmf32_cur;
|
|
have_prompt = true;
|
|
}
|
|
} else {
|
|
// we have heard the activation phrase, now detect the commands
|
|
audio.get(params.command_ms, pcmf32_cur);
|
|
|
|
//printf("len prompt: %.4f\n", pcmf32_prompt.size() / (float) WHISPER_SAMPLE_RATE);
|
|
//printf("len command: %.4f\n", pcmf32_cur.size() / (float) WHISPER_SAMPLE_RATE);
|
|
|
|
// prepend 3 second of silence
|
|
pcmf32_cur.insert(pcmf32_cur.begin(), 3.0f*WHISPER_SAMPLE_RATE, 0.0f);
|
|
|
|
// prepend the prompt audio
|
|
pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
|
|
|
|
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, "root", logprob_min, logprob_sum, n_tokens, t_ms));
|
|
|
|
//const float p = 100.0f * std::exp((logprob - logprob0) / (n_tokens - n_tokens0));
|
|
const float p = 100.0f * std::exp(logprob_min);
|
|
|
|
//fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
|
|
|
|
// find the prompt in the text
|
|
float best_sim = 0.0f;
|
|
size_t best_len = 0;
|
|
for (size_t n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
|
|
if (n >= txt.size()) {
|
|
break;
|
|
}
|
|
|
|
const auto prompt = txt.substr(0, n);
|
|
|
|
const float sim = similarity(prompt, k_prompt);
|
|
|
|
//fprintf(stderr, "%s: prompt = '%s', sim = %f\n", __func__, prompt.c_str(), sim);
|
|
|
|
if (sim > best_sim) {
|
|
best_sim = sim;
|
|
best_len = n;
|
|
}
|
|
}
|
|
|
|
fprintf(stdout, "%s: DEBUG: txt = '%s', prob = %.2f%%\n", __func__, txt.c_str(), p);
|
|
if (best_len == 0) {
|
|
fprintf(stdout, "%s: WARNING: command not recognized, try again\n", __func__);
|
|
} else {
|
|
// cut the prompt from the decoded text
|
|
const std::string command = ::trim(txt.substr(best_len));
|
|
|
|
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
|
|
}
|
|
|
|
fprintf(stdout, "\n");
|
|
}
|
|
|
|
audio.clear();
|
|
}
|
|
}
|
|
}
|
|
|
|
return 0;
|
|
}
|
|
|
|
int main(int argc, char ** argv) {
|
|
whisper_params params;
|
|
|
|
if (whisper_params_parse(argc, argv, params) == false) {
|
|
return 1;
|
|
}
|
|
|
|
if (whisper_lang_id(params.language.c_str()) == -1) {
|
|
fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str());
|
|
whisper_print_usage(argc, argv, params);
|
|
exit(0);
|
|
}
|
|
|
|
// whisper init
|
|
|
|
struct whisper_context_params cparams = whisper_context_default_params();
|
|
cparams.use_gpu = params.use_gpu;
|
|
|
|
struct whisper_context * ctx = whisper_init_from_file_with_params(params.model.c_str(), cparams);
|
|
|
|
// print some info about the processing
|
|
{
|
|
fprintf(stderr, "\n");
|
|
if (!whisper_is_multilingual(ctx)) {
|
|
if (params.language != "en" || params.translate) {
|
|
params.language = "en";
|
|
params.translate = false;
|
|
fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__);
|
|
}
|
|
}
|
|
fprintf(stderr, "%s: processing, %d threads, lang = %s, task = %s, timestamps = %d ...\n",
|
|
__func__,
|
|
params.n_threads,
|
|
params.language.c_str(),
|
|
params.translate ? "translate" : "transcribe",
|
|
params.no_timestamps ? 0 : 1);
|
|
|
|
fprintf(stderr, "\n");
|
|
}
|
|
|
|
// init audio
|
|
|
|
audio_async audio(30*1000);
|
|
if (!audio.init(params.capture_id, WHISPER_SAMPLE_RATE)) {
|
|
fprintf(stderr, "%s: audio.init() failed!\n", __func__);
|
|
return 1;
|
|
}
|
|
|
|
audio.resume();
|
|
|
|
// wait for 1 second to avoid any buffered noise
|
|
std::this_thread::sleep_for(std::chrono::milliseconds(1000));
|
|
audio.clear();
|
|
|
|
int ret_val = 0;
|
|
|
|
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()) {
|
|
ret_val = 1;
|
|
} else {
|
|
fprintf(stderr, "%s: grammar:\n", __func__);
|
|
grammar_parser::print_grammar(stderr, grammar);
|
|
fprintf(stderr, "\n");
|
|
}
|
|
}
|
|
|
|
if (ret_val == 0) {
|
|
if (!params.commands.empty()) {
|
|
ret_val = process_command_list(ctx, audio, params);
|
|
} else if (!params.prompt.empty() && params.grammar_parsed.rules.empty()) {
|
|
ret_val = always_prompt_transcription(ctx, audio, params);
|
|
} else {
|
|
ret_val = process_general_transcription(ctx, audio, params);
|
|
}
|
|
}
|
|
|
|
audio.pause();
|
|
|
|
whisper_print_timings(ctx);
|
|
whisper_free(ctx);
|
|
|
|
return ret_val;
|
|
}
|