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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 <chrono> |
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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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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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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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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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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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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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