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734 lines
25 KiB
734 lines
25 KiB
// Talk with AI
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//
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#include "whisper.h"
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#include "gpt-2.h"
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#include <SDL.h>
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#include <SDL_audio.h>
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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 <regex>
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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 voice_ms = 10000;
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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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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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std::string person = "Santa";
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std::string language = "en";
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std::string model_wsp = "models/ggml-base.en.bin";
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std::string model_gpt = "models/ggml-gpt-2-117M.bin";
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std::string speak = "./examples/talk/speak.sh";
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std::string fname_out = "";
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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 == "-vms" || arg == "--voice-ms") { params.voice_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 == "-p" || arg == "--person") { params.person = argv[++i]; }
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else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; }
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else if (arg == "-mw" || arg == "--model-whisper") { params.model_wsp = argv[++i]; }
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else if (arg == "-mg" || arg == "--model-gpt") { params.model_gpt = argv[++i]; }
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else if (arg == "-s" || arg == "--speak") { params.speak = argv[++i]; }
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else if (arg == "-f" || arg == "--file") { params.fname_out = 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, " -vms N, --voice-ms N [%-7d] voice duration in milliseconds\n", params.voice_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, " -p NAME, --person NAME [%-7s] person name (for prompt selection)\n", params.person.c_str());
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fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.c_str());
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fprintf(stderr, " -mw FILE, --model-whisper [%-7s] whisper model file\n", params.model_wsp.c_str());
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fprintf(stderr, " -mg FILE, --model-gpt [%-7s] gpt model file\n", params.model_gpt.c_str());
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fprintf(stderr, " -s FILE, --speak TEXT [%-7s] command for TTS\n", params.speak.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, "\n");
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}
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//
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// SDL Audio capture
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//
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class audio_async {
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public:
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audio_async(int len_ms);
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~audio_async();
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bool init(int capture_id, int sample_rate);
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// start capturing audio via the provided SDL callback
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// keep last len_ms seconds of audio in a circular buffer
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bool resume();
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bool pause();
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bool clear();
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// callback to be called by SDL
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void callback(uint8_t * stream, int len);
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// get audio data from the circular buffer
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void get(int ms, std::vector<float> & audio);
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private:
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SDL_AudioDeviceID m_dev_id_in = 0;
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int m_len_ms = 0;
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int m_sample_rate = 0;
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bool m_running = false;
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std::mutex m_mutex;
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std::vector<float> m_audio;
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std::vector<float> m_audio_new;
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size_t m_audio_pos = 0;
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size_t m_audio_len = 0;
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};
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audio_async::audio_async(int len_ms) {
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m_len_ms = len_ms;
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}
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audio_async::~audio_async() {
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if (m_dev_id_in) {
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SDL_CloseAudioDevice(m_dev_id_in);
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}
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}
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bool audio_async::init(int capture_id, int sample_rate) {
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SDL_LogSetPriority(SDL_LOG_CATEGORY_APPLICATION, SDL_LOG_PRIORITY_INFO);
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if (SDL_Init(SDL_INIT_AUDIO) < 0) {
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SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "Couldn't initialize SDL: %s\n", SDL_GetError());
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return false;
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}
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SDL_SetHintWithPriority(SDL_HINT_AUDIO_RESAMPLING_MODE, "medium", SDL_HINT_OVERRIDE);
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{
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int nDevices = SDL_GetNumAudioDevices(SDL_TRUE);
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fprintf(stderr, "%s: found %d capture devices:\n", __func__, nDevices);
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for (int i = 0; i < nDevices; i++) {
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fprintf(stderr, "%s: - Capture device #%d: '%s'\n", __func__, i, SDL_GetAudioDeviceName(i, SDL_TRUE));
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}
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}
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SDL_AudioSpec capture_spec_requested;
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SDL_AudioSpec capture_spec_obtained;
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SDL_zero(capture_spec_requested);
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SDL_zero(capture_spec_obtained);
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capture_spec_requested.freq = sample_rate;
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capture_spec_requested.format = AUDIO_F32;
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capture_spec_requested.channels = 1;
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capture_spec_requested.samples = 1024;
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capture_spec_requested.callback = [](void * userdata, uint8_t * stream, int len) {
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audio_async * audio = (audio_async *) userdata;
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audio->callback(stream, len);
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};
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capture_spec_requested.userdata = this;
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if (capture_id >= 0) {
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fprintf(stderr, "%s: attempt to open capture device %d : '%s' ...\n", __func__, capture_id, SDL_GetAudioDeviceName(capture_id, SDL_TRUE));
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m_dev_id_in = SDL_OpenAudioDevice(SDL_GetAudioDeviceName(capture_id, SDL_TRUE), SDL_TRUE, &capture_spec_requested, &capture_spec_obtained, 0);
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} else {
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fprintf(stderr, "%s: attempt to open default capture device ...\n", __func__);
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m_dev_id_in = SDL_OpenAudioDevice(nullptr, SDL_TRUE, &capture_spec_requested, &capture_spec_obtained, 0);
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}
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if (!m_dev_id_in) {
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fprintf(stderr, "%s: couldn't open an audio device for capture: %s!\n", __func__, SDL_GetError());
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m_dev_id_in = 0;
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return false;
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} else {
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fprintf(stderr, "%s: obtained spec for input device (SDL Id = %d):\n", __func__, m_dev_id_in);
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fprintf(stderr, "%s: - sample rate: %d\n", __func__, capture_spec_obtained.freq);
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fprintf(stderr, "%s: - format: %d (required: %d)\n", __func__, capture_spec_obtained.format,
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capture_spec_requested.format);
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fprintf(stderr, "%s: - channels: %d (required: %d)\n", __func__, capture_spec_obtained.channels,
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capture_spec_requested.channels);
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fprintf(stderr, "%s: - samples per frame: %d\n", __func__, capture_spec_obtained.samples);
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fprintf(stderr, "\n");
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}
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m_sample_rate = capture_spec_obtained.freq;
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m_audio.resize((m_sample_rate*m_len_ms)/1000);
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return true;
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}
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bool audio_async::resume() {
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if (!m_dev_id_in) {
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fprintf(stderr, "%s: no audio device to resume!\n", __func__);
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return false;
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}
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if (m_running) {
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fprintf(stderr, "%s: already running!\n", __func__);
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return false;
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}
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SDL_PauseAudioDevice(m_dev_id_in, 0);
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m_running = true;
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return true;
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}
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bool audio_async::pause() {
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if (!m_dev_id_in) {
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fprintf(stderr, "%s: no audio device to pause!\n", __func__);
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return false;
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}
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if (!m_running) {
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fprintf(stderr, "%s: already paused!\n", __func__);
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return false;
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}
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SDL_PauseAudioDevice(m_dev_id_in, 1);
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m_running = false;
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return true;
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}
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bool audio_async::clear() {
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if (!m_dev_id_in) {
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fprintf(stderr, "%s: no audio device to clear!\n", __func__);
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return false;
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}
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if (!m_running) {
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fprintf(stderr, "%s: not running!\n", __func__);
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return false;
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}
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{
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std::lock_guard<std::mutex> lock(m_mutex);
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m_audio_pos = 0;
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m_audio_len = 0;
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}
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return true;
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}
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// callback to be called by SDL
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void audio_async::callback(uint8_t * stream, int len) {
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if (!m_running) {
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return;
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}
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const size_t n_samples = len / sizeof(float);
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m_audio_new.resize(n_samples);
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memcpy(m_audio_new.data(), stream, n_samples * sizeof(float));
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//fprintf(stderr, "%s: %zu samples, pos %zu, len %zu\n", __func__, n_samples, m_audio_pos, m_audio_len);
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{
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std::lock_guard<std::mutex> lock(m_mutex);
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if (m_audio_pos + n_samples > m_audio.size()) {
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const size_t n0 = m_audio.size() - m_audio_pos;
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memcpy(&m_audio[m_audio_pos], stream, n0 * sizeof(float));
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memcpy(&m_audio[0], &stream[n0], (n_samples - n0) * sizeof(float));
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m_audio_pos = (m_audio_pos + n_samples) % m_audio.size();
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m_audio_len = m_audio.size();
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} else {
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memcpy(&m_audio[m_audio_pos], stream, n_samples * sizeof(float));
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m_audio_pos = (m_audio_pos + n_samples) % m_audio.size();
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m_audio_len = std::min(m_audio_len + n_samples, m_audio.size());
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}
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}
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}
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void audio_async::get(int ms, std::vector<float> & result) {
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if (!m_dev_id_in) {
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fprintf(stderr, "%s: no audio device to get audio from!\n", __func__);
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return;
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}
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if (!m_running) {
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fprintf(stderr, "%s: not running!\n", __func__);
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return;
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}
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result.clear();
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{
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std::lock_guard<std::mutex> lock(m_mutex);
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if (ms <= 0) {
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ms = m_len_ms;
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}
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size_t n_samples = (m_sample_rate * ms) / 1000;
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if (n_samples > m_audio_len) {
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n_samples = m_audio_len;
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}
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result.resize(n_samples);
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int s0 = m_audio_pos - n_samples;
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if (s0 < 0) {
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s0 += m_audio.size();
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}
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if (s0 + n_samples > m_audio.size()) {
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const size_t n0 = m_audio.size() - s0;
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memcpy(result.data(), &m_audio[s0], n0 * sizeof(float));
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memcpy(&result[n0], &m_audio[0], (n_samples - n0) * sizeof(float));
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} else {
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memcpy(result.data(), &m_audio[s0], n_samples * sizeof(float));
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}
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}
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}
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///////////////////////////
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std::string trim(const std::string & s) {
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std::regex e("^\\s+|\\s+$");
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return std::regex_replace(s, e, "");
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}
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std::string replace(const std::string & s, const std::string & from, const std::string & to) {
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std::string result = s;
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size_t pos = 0;
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while ((pos = result.find(from, pos)) != std::string::npos) {
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result.replace(pos, from.length(), to);
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pos += to.length();
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}
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return result;
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}
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void high_pass_filter(std::vector<float> & data, float cutoff, float sample_rate) {
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const float rc = 1.0f / (2.0f * M_PI * cutoff);
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const float dt = 1.0f / sample_rate;
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const float alpha = dt / (rc + dt);
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float y = data[0];
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for (size_t i = 1; i < data.size(); i++) {
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y = alpha * (y + data[i] - data[i - 1]);
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data[i] = y;
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}
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}
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bool vad_simple(std::vector<float> & pcmf32, int sample_rate, int last_ms, float vad_thold, float freq_thold, bool verbose) {
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const int n_samples = pcmf32.size();
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const int n_samples_last = (sample_rate * last_ms) / 1000;
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if (n_samples_last >= n_samples) {
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// not enough samples - assume no speech
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return false;
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}
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if (freq_thold > 0.0f) {
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high_pass_filter(pcmf32, freq_thold, sample_rate);
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}
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float energy_all = 0.0f;
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float energy_last = 0.0f;
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for (size_t i = 0; i < n_samples; i++) {
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energy_all += fabsf(pcmf32[i]);
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if (i >= n_samples - n_samples_last) {
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energy_last += fabsf(pcmf32[i]);
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}
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}
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energy_all /= n_samples;
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energy_last /= n_samples_last;
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if (verbose) {
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fprintf(stderr, "%s: energy_all: %f, energy_last: %f, vad_thold: %f, freq_thold: %f\n", __func__, energy_all, energy_last, vad_thold, freq_thold);
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}
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if (energy_last > vad_thold*energy_all) {
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return false;
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}
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return true;
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}
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std::string transcribe(whisper_context * ctx, const whisper_params & params, const std::vector<float> & pcmf32, float & prob, int64_t & t_ms) {
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const auto t_start = std::chrono::high_resolution_clock::now();
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prob = 0.0f;
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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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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 = 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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if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
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return "";
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}
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int prob_n = 0;
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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;
|
|
|
|
const int n_tokens = whisper_full_n_tokens(ctx, i);
|
|
for (int j = 0; j < n_tokens; ++j) {
|
|
const auto token = whisper_full_get_token_data(ctx, i, j);
|
|
|
|
prob += token.p;
|
|
++prob_n;
|
|
}
|
|
}
|
|
|
|
if (prob_n > 0) {
|
|
prob /= prob_n;
|
|
}
|
|
|
|
const auto t_end = std::chrono::high_resolution_clock::now();
|
|
t_ms = std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count();
|
|
|
|
return result;
|
|
}
|
|
|
|
// compute similarity between two strings using Levenshtein distance
|
|
float similarity(const std::string & s0, const std::string & s1) {
|
|
const size_t len0 = s0.size() + 1;
|
|
const size_t len1 = s1.size() + 1;
|
|
|
|
std::vector<int> col(len1, 0);
|
|
std::vector<int> prevCol(len1, 0);
|
|
|
|
for (size_t i = 0; i < len1; i++) {
|
|
prevCol[i] = i;
|
|
}
|
|
|
|
for (size_t i = 0; i < len0; i++) {
|
|
col[0] = i;
|
|
for (size_t j = 1; j < len1; j++) {
|
|
col[j] = std::min(std::min(1 + col[j - 1], 1 + prevCol[j]), prevCol[j - 1] + (s0[i - 1] == s1[j - 1] ? 0 : 1));
|
|
}
|
|
col.swap(prevCol);
|
|
}
|
|
|
|
const float dist = prevCol[len1 - 1];
|
|
|
|
return 1.0f - (dist / std::max(s0.size(), s1.size()));
|
|
}
|
|
|
|
// generated with ChatGPT
|
|
std::map<std::string, std::string> k_prompts = {
|
|
{ "Santa",
|
|
R"(Kid: Hi Santa! Are you real?
|
|
Santa: Of course I am, my dear! Ho ho ho!
|
|
Kid: Can you please bring me a new toy for Christmas?
|
|
Santa: I'll see what I can do, but you have to make sure to be a good boy or girl and listen to your parents.
|
|
Kid: I will, Santa! Thank you!
|
|
Santa: You're welcome, little one. Merry Christmas! Ho ho ho!
|
|
Kid: Can you tell me how you deliver all the presents to all the kids in the world in one night?
|
|
Santa: It's a secret, but I have a lot of help from my elves and my magical sleigh. And I have a special route that I follow to make sure I visit every child.
|
|
Kid: Wow, that's amazing! Can I please have a ride in your sleigh sometime?
|
|
Santa: I'm sorry, but only good boys and girls get to ride in my sleigh.
|
|
)" },
|
|
{ "Kid",
|
|
R"(Kid: Hi Santa! Are you real?
|
|
Santa: Of course I am, my dear! Ho ho ho!
|
|
Kid: Can you please bring me a new toy for Christmas?
|
|
Santa: I'll see what I can do, but you have to make sure to be a good boy or girl and listen to your parents.
|
|
Kid: I will, Santa! Thank you!
|
|
Kid: Can you tell me how you deliver all the presents to all the kids in the world in one night?
|
|
Santa: It's a secret, but I have a lot of help from my elves and my magical sleigh. And I have a special route that I follow to make sure I visit every child.
|
|
Kid: Wow, that's amazing! Can I please have a ride in your sleigh sometime?
|
|
)" },
|
|
};
|
|
|
|
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 * ctx_wsp = whisper_init(params.model_wsp.c_str());
|
|
|
|
// gpt init
|
|
|
|
struct gpt2_context * ctx_gpt = gpt2_init(params.model_gpt.c_str());
|
|
|
|
// print some info about the processing
|
|
{
|
|
fprintf(stderr, "\n");
|
|
if (!whisper_is_multilingual(ctx_wsp)) {
|
|
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();
|
|
|
|
int n_iter = 0;
|
|
|
|
bool is_running = true;
|
|
bool force_speak = params.person == "Kid";
|
|
|
|
float prob0 = 0.0f;
|
|
float prob = 0.0f;
|
|
|
|
std::vector<float> pcmf32_cur;
|
|
std::vector<float> pcmf32_prompt;
|
|
|
|
if (k_prompts.find(params.person) == k_prompts.end()) {
|
|
fprintf(stderr, "%s: unknown person '%s'\n", __func__, params.person.c_str());
|
|
return 1;
|
|
}
|
|
|
|
gpt2_set_prompt(ctx_gpt, k_prompts.at(params.person).c_str());
|
|
|
|
const std::string person_other = params.person == "Santa" ? "Kid" : "Santa";
|
|
const int voice_id = params.person == "Santa" ? 5 : 2;
|
|
|
|
fprintf(stderr, "gpt-2: prompt_base:\n");
|
|
fprintf(stderr, "========================\n\n");
|
|
fprintf(stderr, "%s\n", gpt2_get_prompt(ctx_gpt));
|
|
fprintf(stderr, "========================\n\n");
|
|
|
|
// main loop
|
|
while (is_running) {
|
|
// handle Ctrl + C
|
|
{
|
|
SDL_Event event;
|
|
while (SDL_PollEvent(&event)) {
|
|
switch (event.type) {
|
|
case SDL_QUIT:
|
|
{
|
|
is_running = false;
|
|
} break;
|
|
default:
|
|
break;
|
|
}
|
|
}
|
|
|
|
if (!is_running) {
|
|
break;
|
|
}
|
|
}
|
|
|
|
// delay
|
|
std::this_thread::sleep_for(std::chrono::milliseconds(100));
|
|
|
|
int64_t t_ms = 0;
|
|
|
|
{
|
|
audio.get(2000, pcmf32_cur);
|
|
|
|
if (vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1250, params.vad_thold, params.freq_thold, params.print_energy) || force_speak) {
|
|
fprintf(stdout, "%s: Speech detected! Processing ...\n", __func__);
|
|
|
|
audio.get(params.voice_ms, pcmf32_cur);
|
|
|
|
std::string text_heard = "Hey little one, what do you want for Christmas?";
|
|
if (!force_speak) {
|
|
text_heard = ::trim(::transcribe(ctx_wsp, params, pcmf32_cur, prob0, t_ms));
|
|
}
|
|
|
|
force_speak = false;
|
|
|
|
// remove text between brackets using regex
|
|
{
|
|
std::regex re("\\[.*?\\]");
|
|
text_heard = std::regex_replace(text_heard, re, "");
|
|
}
|
|
|
|
// remove text between brackets using regex
|
|
{
|
|
std::regex re("\\(.*?\\)");
|
|
text_heard = std::regex_replace(text_heard, re, "");
|
|
}
|
|
|
|
// remove all characters, except for letters, numbers, punctuation and ':', '\'', '-', ' '
|
|
text_heard = std::regex_replace(text_heard, std::regex("[^a-zA-Z0-9\\.,\\?!\\s\\:\\'\\-]"), "");
|
|
|
|
// take first line
|
|
text_heard = text_heard.substr(0, text_heard.find_first_of("\n"));
|
|
|
|
// remove leading and trailing whitespace
|
|
text_heard = std::regex_replace(text_heard, std::regex("^\\s+"), "");
|
|
text_heard = std::regex_replace(text_heard, std::regex("\\s+$"), "");
|
|
|
|
const std::vector<gpt_vocab::id> tokens = gpt2_tokenize(ctx_gpt, text_heard.c_str());
|
|
|
|
if (text_heard.empty() || tokens.empty()) {
|
|
fprintf(stdout, "%s: Heard nothing, skipping ...\n", __func__);
|
|
audio.clear();
|
|
|
|
continue;
|
|
}
|
|
|
|
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", text_heard.c_str(), "\033[0m", (int) t_ms);
|
|
|
|
std::string prompt_base = gpt2_get_prompt(ctx_gpt);
|
|
|
|
std::string text_to_speak;
|
|
|
|
{
|
|
text_heard = person_other + ": " + text_heard;
|
|
|
|
text_to_speak = gpt2_gen_text(ctx_gpt, (prompt_base + text_heard + "\n").c_str(), params.max_tokens);
|
|
text_to_speak = std::regex_replace(text_to_speak, std::regex("[^a-zA-Z0-9\\.,\\?!\\s\\:\\'\\-]"), "");
|
|
text_to_speak = text_to_speak.substr(0, text_to_speak.find_first_of("\n"));
|
|
|
|
// remove first 2 lines of base prompt
|
|
if (n_iter > 4) {
|
|
{
|
|
const size_t pos = prompt_base.find_first_of("\n");
|
|
if (pos != std::string::npos) {
|
|
prompt_base = prompt_base.substr(pos + 1);
|
|
}
|
|
}
|
|
{
|
|
const size_t pos = prompt_base.find_first_of("\n");
|
|
if (pos != std::string::npos) {
|
|
prompt_base = prompt_base.substr(pos + 1);
|
|
}
|
|
}
|
|
}
|
|
|
|
prompt_base += text_heard + "\n" + text_to_speak + "\n";
|
|
}
|
|
|
|
printf("%s\n", text_to_speak.c_str());
|
|
|
|
//printf("========================\n");
|
|
//printf("gpt-2: prompt_base:\n'%s'\n", prompt_base.c_str());
|
|
//printf("========================\n");
|
|
|
|
gpt2_set_prompt(ctx_gpt, prompt_base.c_str());
|
|
|
|
text_to_speak = ::replace(text_to_speak, params.person + ": ", "");
|
|
system((params.speak + " " + std::to_string(voice_id) + " \"" + text_to_speak + "\"").c_str());
|
|
|
|
audio.clear();
|
|
|
|
++n_iter;
|
|
}
|
|
}
|
|
}
|
|
|
|
audio.pause();
|
|
|
|
whisper_print_timings(ctx_wsp);
|
|
whisper_free(ctx_wsp);
|
|
|
|
return 0;
|
|
}
|