mirror of
https://github.com/ggerganov/whisper.cpp.git
synced 2024-12-23 06:22:22 +00:00
194 lines
6.5 KiB
C++
194 lines
6.5 KiB
C++
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#include "WChess.h"
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#include "Chessboard.h"
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#include "grammar-parser.h"
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#include "common.h"
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#include <thread>
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WChess::WChess(whisper_context * ctx,
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const whisper_full_params & wparams,
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callbacks cb,
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settings s)
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: m_ctx(ctx)
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, m_wparams(wparams)
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, m_cb(cb)
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, m_settings(s)
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, m_board(new Chessboard())
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{}
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WChess::~WChess() = default;
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void WChess::set_move(const std::string& moves, float prob) const {
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if (m_cb.set_move) (*m_cb.set_move)(moves, prob);
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}
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void WChess::set_grammar(const std::string& grammar) const {
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if (m_cb.set_grammar) (*m_cb.set_grammar)(grammar);
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}
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bool WChess::get_audio(std::vector<float>& pcmf32) const {
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if (m_cb.get_audio) return (*m_cb.get_audio)(pcmf32);
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return false;
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}
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std::string WChess::stringify_board() const {
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return m_board->stringifyBoard();
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}
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std::string WChess::get_grammar() const {
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return m_board->grammar();
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}
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void WChess::run() {
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bool have_prompt = true;
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bool ask_prompt = !have_prompt;
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float logprob_min = 0.0f;
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float logprob_sum = 0.0f;
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int n_tokens = 0;
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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 = have_prompt ? "" : "rook to d4, f3";
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int64_t t_ms = 0;
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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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ask_prompt = false;
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}
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while (get_audio(pcmf32_cur)) {
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if (!pcmf32_cur.empty()) {
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// fprintf(stdout, "%s: Processing ...\n", __func__);
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if (!have_prompt) {
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const auto txt = ::trim(transcribe(pcmf32_cur, logprob_min, logprob_sum, n_tokens, 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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m_board->setPrompt(k_prompt);
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}
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} else {
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if (!pcmf32_prompt.empty()) pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
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constexpr size_t MIN_SIZE = 1.2 * WHISPER_SAMPLE_RATE;
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if (MIN_SIZE > pcmf32_cur.size()) pcmf32_cur.insert(pcmf32_cur.begin(), MIN_SIZE - pcmf32_cur.size(), 0.0f);
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// fprintf(stdout, "%s: grammar rules:\n'%s'\n", __func__, m_board->grammar().c_str());
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auto grammar_parsed = grammar_parser::parse(m_board->grammar().c_str());
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auto grammar_rules = grammar_parsed.c_rules();
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m_wparams.grammar_rules = grammar_rules.data();
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m_wparams.n_grammar_rules = grammar_rules.size();
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m_wparams.i_start_rule = grammar_parsed.symbol_ids.at("move");
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auto txt = ::trim(transcribe(pcmf32_cur, logprob_min, logprob_sum, n_tokens, t_ms));
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const float p = 100.0f * std::exp(logprob_min);
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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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fprintf(stdout, "%s: DEBUG: txt = '%s', prob = %.2f%%\n", __func__, txt.c_str(), p);
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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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if (!command.empty()) {
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set_move(m_board->process(command), p);
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set_grammar(m_board->grammar());
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}
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if (m_board->grammar().empty()) {
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fprintf(stdout, "%s: No more moves possible\n", __func__);
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break;
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}
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}
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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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ask_prompt = false;
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}
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}
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}
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std::string WChess::transcribe(
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const std::vector<float> & pcmf32,
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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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if (whisper_full(m_ctx, m_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(m_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(m_ctx, i);
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result += text;
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const int n = whisper_full_n_tokens(m_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(m_ctx, i, j);
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if(token.plog > 0.0f) return {};
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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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