mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-19 20:57:52 +00:00
command : adding guided mode
This commit is contained in:
Georgi Gerganov
parent
bf69b669a0
commit
6a69e3ae27
@ -19,6 +19,7 @@
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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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@ -41,6 +42,7 @@ struct whisper_params {
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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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};
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void whisper_print_usage(int argc, char ** argv, const whisper_params & params);
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@ -68,6 +70,7 @@ bool whisper_params_parse(int argc, char ** argv, whisper_params & params) {
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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 {
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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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@ -83,22 +86,23 @@ void whisper_print_usage(int argc, char ** argv, const whisper_params & params)
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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, " -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, " -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, " -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, "\n");
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}
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@ -484,6 +488,28 @@ float similarity(const std::string & s0, const std::string & s1) {
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return 1.0f - (dist / std::max(s0.size(), s1.size()));
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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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int main(int argc, char ** argv) {
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whisper_params params;
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@ -521,7 +547,6 @@ int main(int argc, char ** argv) {
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fprintf(stderr, "\n");
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}
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// init audio
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audio_async audio(30*1000);
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@ -532,6 +557,8 @@ int main(int argc, char ** argv) {
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audio.resume();
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int max_len = 0;
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bool is_running = true;
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bool have_prompt = false;
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bool ask_prompt = true;
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@ -542,7 +569,94 @@ int main(int argc, char ** argv) {
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std::vector<float> pcmf32_cur;
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std::vector<float> pcmf32_prompt;
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const std::string k_prompt = "Ok Whisper, start listening for commands.";
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std::vector<std::string> allowed_commands;
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std::vector<std::vector<whisper_token>> allowed_tokens;
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std::string k_prompt = "";
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std::vector<whisper_token> k_tokens;
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if (params.commands != "") {
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fprintf(stderr, "\n");
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fprintf(stderr, "%s: guided mode\n", __func__);
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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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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 < 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, " %d", token);
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}
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fprintf(stderr, " ]\n");
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}
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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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{
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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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} else {
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fprintf(stderr, "\n");
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fprintf(stderr, "%s: general-purpose mode\n", __func__);
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k_prompt = "Ok Whisper, start listening for commands.";
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}
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// main loop
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while (is_running) {
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@ -568,78 +682,172 @@ int main(int argc, char ** argv) {
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// delay
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std::this_thread::sleep_for(std::chrono::milliseconds(100));
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if (ask_prompt) {
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fprintf(stdout, "\n");
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fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m");
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fprintf(stdout, "\n");
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if (allowed_commands.empty()) {
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// general-purpose mode
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// freely transcribe the voice into text
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ask_prompt = false;
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}
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if (ask_prompt) {
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fprintf(stdout, "\n");
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fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m");
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fprintf(stdout, "\n");
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int64_t t_ms = 0;
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ask_prompt = false;
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}
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{
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int64_t t_ms = 0;
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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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if (!have_prompt) {
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// wait for activation phrase
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audio.get(params.prompt_ms, pcmf32_cur);
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const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob0, t_ms));
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fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms);
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const float sim = similarity(txt, k_prompt);
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if (txt.length() < 0.8*k_prompt.length() || txt.length() > 1.2*k_prompt.length() || sim < 0.8f) {
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fprintf(stdout, "%s: WARNING: prompt not recognized, try again\n", __func__);
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ask_prompt = true;
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} else {
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fprintf(stdout, "\n");
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fprintf(stdout, "%s: The prompt has been recognized!\n", __func__);
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fprintf(stdout, "%s: Waiting for voice commands ...\n", __func__);
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fprintf(stdout, "\n");
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// save the audio for the prompt
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pcmf32_prompt = pcmf32_cur;
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have_prompt = true;
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}
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} else {
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// we have heard the activation phrase, now detect the commands
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audio.get(params.command_ms, pcmf32_cur);
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// prepend the prompt audio
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pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
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const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms));
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prob = 100.0f*(prob - prob0);
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//fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
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// find the prompt in the text
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float best_sim = 0.0f;
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size_t best_len = 0;
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for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
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const auto prompt = txt.substr(0, n);
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const float sim = similarity(prompt, k_prompt);
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//fprintf(stderr, "%s: prompt = '%s', sim = %f\n", __func__, prompt.c_str(), sim);
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if (sim > best_sim) {
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best_sim = sim;
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best_len = n;
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}
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}
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const std::string command = ::trim(txt.substr(best_len));
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fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
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fprintf(stdout, "\n");
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}
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audio.clear();
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}
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}
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} else {
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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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{
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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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if (!have_prompt) {
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audio.get(params.prompt_ms, pcmf32_cur);
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const auto t_start = std::chrono::high_resolution_clock::now();
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const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob0, t_ms));
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whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
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fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms);
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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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const float sim = similarity(txt, k_prompt);
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wparams.audio_ctx = params.audio_ctx;
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wparams.speed_up = params.speed_up;
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if (txt.length() < 0.8*k_prompt.length() || txt.length() > 1.2*k_prompt.length() || sim < 0.8f) {
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fprintf(stdout, "%s: WARNING: prompt not recognized, try again\n", __func__);
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ask_prompt = true;
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} else {
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fprintf(stdout, "\n");
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fprintf(stdout, "%s: The prompt has been recognized!\n", __func__);
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fprintf(stdout, "%s: Waiting for voice commands ...\n", __func__);
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fprintf(stdout, "\n");
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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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// save the audio for the prompt
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pcmf32_prompt = pcmf32_cur;
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have_prompt = true;
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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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const auto * probs = whisper_get_probs(ctx);
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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.push_back(std::make_pair(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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} else {
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audio.get(params.command_ms, pcmf32_cur);
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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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// prepend the prompt audio
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pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
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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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const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms));
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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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prob = 100.0f*(prob - prob0);
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//fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
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// find the prompt in the text
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float best_sim = 0.0f;
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size_t best_len = 0;
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for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
|
||||
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;
|
||||
// print the commands and the respective probabilities
|
||||
{
|
||||
fprintf(stdout, "\n");
|
||||
for (const auto & cmd : probs_id) {
|
||||
fprintf(stdout, "%s: %s%-*s%s = %f | ", __func__, "\033[1m", max_len, allowed_commands[cmd.second].c_str(), "\033[0m", cmd.first);
|
||||
for (int i = 0; i < (int) allowed_tokens[cmd.second].size(); ++i) {
|
||||
fprintf(stdout, "%f ", probs[allowed_tokens[cmd.second][i]]);
|
||||
}
|
||||
fprintf(stdout, "\n");
|
||||
}
|
||||
}
|
||||
|
||||
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);
|
||||
// best command
|
||||
{
|
||||
fprintf(stdout, "\n");
|
||||
fprintf(stdout, "%s: detected command: %s%s%s | p = %f | t = %d ms\n", __func__,
|
||||
"\033[1m", allowed_commands[probs_id[0].second].c_str(), "\033[0m", probs_id[0].first,
|
||||
(int) std::chrono::duration_cast<std::chrono::milliseconds>(std::chrono::high_resolution_clock::now() - t_start).count());
|
||||
fprintf(stdout, "\n");
|
||||
}
|
||||
|
||||
const auto t_end = std::chrono::high_resolution_clock::now();
|
||||
|
||||
audio.clear();
|
||||
}
|
||||
}
|
||||
|
||||
9
examples/command/commands.txt
Normal file
9
examples/command/commands.txt
Normal file
@ -0,0 +1,9 @@
|
||||
enable
|
||||
disable
|
||||
cat
|
||||
dog
|
||||
apple
|
||||
red
|
||||
blue
|
||||
green
|
||||
lightblue
|
||||
@ -2826,13 +2826,13 @@ int whisper_full(
|
||||
|
||||
//{
|
||||
// const auto tt = token.pt > 0.10 ? ctx->vocab.id_to_token[token.tid] : "[?]";
|
||||
// printf("%s: %10s %6d %6.3f '%s'\n", __func__, tt.c_str(), token.id, token.pt, ctx->vocab.id_to_token[token.id].c_str());
|
||||
// printf("%s: %3d %10s %6d %6.3f '%s'\n", __func__, i, tt.c_str(), token.id, token.pt, ctx->vocab.id_to_token[token.id].c_str());
|
||||
//}
|
||||
|
||||
// end of segment
|
||||
if (token.id == whisper_token_eot(ctx) || // end of text token
|
||||
(params.max_tokens > 0 && i > params.max_tokens) || // max tokens per segment reached
|
||||
(has_ts && seek + seek_delta + 100 >= seek_end) // end of audio reached
|
||||
if (token.id == whisper_token_eot(ctx) || // end of text token
|
||||
(params.max_tokens > 0 && i >= params.max_tokens) || // max tokens per segment reached
|
||||
(has_ts && seek + seek_delta + 100 >= seek_end) // end of audio reached
|
||||
) {
|
||||
if (result_len == 0) {
|
||||
if (seek + seek_delta + 100 >= seek_end) {
|
||||
|
||||
Loading…
Reference in New Issue
Block a user