You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
whisper.cpp/examples/talk.wasm/emscripten.cpp

379 lines
12 KiB

#include "ggml.h"
#include "gpt-2.h"
#include "whisper.h"
#include <emscripten.h>
#include <emscripten/bind.h>
#include <atomic>
#include <cmath>
#include <mutex>
#include <string>
#include <thread>
#include <vector>
#include <regex>
constexpr int N_THREAD = 8;
struct gpt2_context * g_gpt2;
std::vector<struct whisper_context *> g_contexts(4, nullptr);
std::mutex g_mutex;
std::thread g_worker;
std::atomic<bool> g_running(false);
bool g_force_speak = false;
std::string g_text_to_speak = "";
std::string g_status = "";
std::string g_status_forced = "";
std::vector<float> g_pcmf32;
std::string to_timestamp(int64_t t) {
int64_t sec = t/100;
int64_t msec = t - sec*100;
int64_t min = sec/60;
sec = sec - min*60;
char buf[32];
snprintf(buf, sizeof(buf), "%02d:%02d.%03d", (int) min, (int) sec, (int) msec);
return std::string(buf);
}
void talk_set_status(const std::string & status) {
std::lock_guard<std::mutex> lock(g_mutex);
g_status = status;
}
void talk_main(size_t index) {
talk_set_status("loading data ...");
struct whisper_full_params wparams = whisper_full_default_params(whisper_sampling_strategy::WHISPER_SAMPLING_GREEDY);
wparams.n_threads = std::min(N_THREAD, (int) std::thread::hardware_concurrency());
wparams.offset_ms = 0;
wparams.translate = false;
wparams.no_context = true;
wparams.single_segment = true;
wparams.print_realtime = false;
wparams.print_progress = false;
wparams.print_timestamps = true;
wparams.print_special_tokens = false;
wparams.max_tokens = 32;
wparams.audio_ctx = 768;
wparams.language = "en";
g_gpt2 = gpt2_init("gpt-2.bin");
printf("talk: using %d threads\n", N_THREAD);
std::vector<float> pcmf32;
// whisper context
auto & ctx = g_contexts[index];
const int64_t step_samples = 2*WHISPER_SAMPLE_RATE;
const int64_t step_ms = (step_samples*1000)/WHISPER_SAMPLE_RATE;
const int64_t window_samples = 9*WHISPER_SAMPLE_RATE;
auto t_last = std::chrono::high_resolution_clock::now();
talk_set_status("listening ...");
while (g_running) {
const auto t_now = std::chrono::high_resolution_clock::now();
if (std::chrono::duration_cast<std::chrono::milliseconds>(t_now - t_last).count() < step_ms) {
{
std::lock_guard<std::mutex> lock(g_mutex);
g_pcmf32.clear();
}
std::this_thread::sleep_for(std::chrono::milliseconds(10));
continue;
}
talk_set_status("listening ...");
{
std::unique_lock<std::mutex> lock(g_mutex);
if (g_pcmf32.size() < step_samples) {
lock.unlock();
std::this_thread::sleep_for(std::chrono::milliseconds(10));
continue;
}
pcmf32 = std::vector<float>(g_pcmf32.end() - std::min((int64_t) g_pcmf32.size(), window_samples), g_pcmf32.end());
}
// if energy in during last second is above threshold, then skip
{
float energy_all = 0.0f;
float energy_1s = 0.0f;
for (size_t i = 0; i < pcmf32.size(); i++) {
energy_all += fabsf(pcmf32[i]);
if (i >= pcmf32.size() - WHISPER_SAMPLE_RATE) {
energy_1s += fabsf(pcmf32[i]);
}
}
energy_all /= pcmf32.size();
energy_1s /= WHISPER_SAMPLE_RATE;
if (energy_1s > 0.1f*energy_all && !g_force_speak) {
std::this_thread::sleep_for(std::chrono::milliseconds(10));
continue;
}
}
talk_set_status("processing ...");
g_force_speak = false;
t_last = t_now;
{
const auto t_start = std::chrono::high_resolution_clock::now();
int ret = whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size());
if (ret != 0) {
printf("whisper_full() failed: %d\n", ret);
break;
}
const auto t_end = std::chrono::high_resolution_clock::now();
printf("whisper_full() returned %d in %f seconds\n", ret, std::chrono::duration<double>(t_end - t_start).count());
}
{
std::string text_heard;
const int n_segments = whisper_full_n_segments(ctx);
for (int i = n_segments - 1; i < n_segments; ++i) {
const char * text = whisper_full_get_segment_text(ctx, i);
const int64_t t0 = whisper_full_get_segment_t0(ctx, i);
const int64_t t1 = whisper_full_get_segment_t1(ctx, i);
printf ("[%s --> %s] %s\n", to_timestamp(t0).c_str(), to_timestamp(t1).c_str(), text);
text_heard += text;
}
// 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+$"), "");
talk_set_status("'" + text_heard + "' - thinking how to respond ...");
const std::vector<gpt_vocab::id> tokens = gpt2_tokenize(g_gpt2, text_heard.c_str());
printf("whisper: number of tokens: %d, '%s'\n", (int) tokens.size(), text_heard.c_str());
std::string text_to_speak;
std::string prompt_base;
{
std::lock_guard<std::mutex> lock(g_mutex);
prompt_base = gpt2_get_prompt(g_gpt2);
}
if (tokens.size() > 0) {
text_to_speak = gpt2_gen_text(g_gpt2, (prompt_base + text_heard + "\n").c_str(), 32);
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"));
std::lock_guard<std::mutex> lock(g_mutex);
// remove first 2 lines of base prompt
{
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";
} else {
text_to_speak = gpt2_gen_text(g_gpt2, prompt_base.c_str(), 32);
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"));
std::lock_guard<std::mutex> lock(g_mutex);
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_to_speak + "\n";
}
printf("gpt-2: %s\n", text_to_speak.c_str());
//printf("========================\n");
//printf("gpt-2: prompt_base:\n'%s'\n", prompt_base.c_str());
//printf("========================\n");
{
std::lock_guard<std::mutex> lock(g_mutex);
t_last = std::chrono::high_resolution_clock::now();
g_text_to_speak = text_to_speak;
g_pcmf32.clear();
gpt2_set_prompt(g_gpt2, prompt_base.c_str());
}
talk_set_status("speaking ...");
}
}
gpt2_free(g_gpt2);
if (index < g_contexts.size()) {
whisper_free(g_contexts[index]);
g_contexts[index] = nullptr;
}
}
EMSCRIPTEN_BINDINGS(talk) {
emscripten::function("init", emscripten::optional_override([](const std::string & path_model) {
for (size_t i = 0; i < g_contexts.size(); ++i) {
if (g_contexts[i] == nullptr) {
g_contexts[i] = whisper_init(path_model.c_str());
if (g_contexts[i] != nullptr) {
g_running = true;
if (g_worker.joinable()) {
g_worker.join();
}
g_worker = std::thread([i]() {
talk_main(i);
});
return i + 1;
} else {
return (size_t) 0;
}
}
}
return (size_t) 0;
}));
emscripten::function("free", emscripten::optional_override([](size_t index) {
if (g_running) {
g_running = false;
}
}));
emscripten::function("set_audio", emscripten::optional_override([](size_t index, const emscripten::val & audio) {
--index;
if (index >= g_contexts.size()) {
return -1;
}
if (g_contexts[index] == nullptr) {
return -2;
}
{
std::lock_guard<std::mutex> lock(g_mutex);
const int n = audio["length"].as<int>();
emscripten::val heap = emscripten::val::module_property("HEAPU8");
emscripten::val memory = heap["buffer"];
g_pcmf32.resize(n);
emscripten::val memoryView = audio["constructor"].new_(memory, reinterpret_cast<uintptr_t>(g_pcmf32.data()), n);
memoryView.call<void>("set", audio);
}
return 0;
}));
emscripten::function("force_speak", emscripten::optional_override([](size_t index) {
{
std::lock_guard<std::mutex> lock(g_mutex);
g_force_speak = true;
}
}));
emscripten::function("get_text_context", emscripten::optional_override([]() {
std::string text_context;
{
std::lock_guard<std::mutex> lock(g_mutex);
text_context = gpt2_get_prompt(g_gpt2);
}
return text_context;
}));
emscripten::function("get_text_to_speak", emscripten::optional_override([]() {
std::string text_to_speak;
{
std::lock_guard<std::mutex> lock(g_mutex);
text_to_speak = std::move(g_text_to_speak);
}
return text_to_speak;
}));
emscripten::function("get_status", emscripten::optional_override([]() {
std::string status;
{
std::lock_guard<std::mutex> lock(g_mutex);
status = g_status_forced.empty() ? g_status : g_status_forced;
}
return status;
}));
emscripten::function("set_status", emscripten::optional_override([](const std::string & status) {
{
std::lock_guard<std::mutex> lock(g_mutex);
g_status_forced = status;
}
}));
emscripten::function("set_prompt", emscripten::optional_override([](const std::string & prompt) {
{
std::lock_guard<std::mutex> lock(g_mutex);
gpt2_set_prompt(g_gpt2, prompt.c_str());
}
}));
}