command : refactor to split command list & general transcription modes (#331)

This makes it easier to understand if you're looking for only one of the capabilities.
pull/350/head
Andy Maloney 1 year ago committed by GitHub
parent 424c410c42
commit f00509d57c
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23

@ -510,86 +510,23 @@ std::vector<std::string> read_allowed_commands(const std::string & fname) {
return allowed_commands;
}
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 = whisper_init(params.model.c_str());
// print some info about the processing
{
fprintf(stderr, "\n");
if (!whisper_is_multilingual(ctx)) {
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();
// wait for 1 second to avoid any buffered noise
std::this_thread::sleep_for(std::chrono::milliseconds(1000));
audio.clear();
int max_len = 0;
bool is_running = true;
bool have_prompt = false;
bool ask_prompt = true;
float prob0 = 0.0f;
float prob = 0.0f;
std::vector<float> pcmf32_cur;
std::vector<float> pcmf32_prompt;
std::vector<std::string> allowed_commands;
std::vector<std::vector<whisper_token>> allowed_tokens;
std::string k_prompt;
std::vector<whisper_token> k_tokens;
if (!params.commands.empty()) {
// command-list mode
// guide the transcription to match the most likely command from a provided list
int process_command_list(struct whisper_context * ctx, audio_async &audio, const whisper_params &params) {
fprintf(stderr, "\n");
fprintf(stderr, "%s: guided mode\n", __func__);
allowed_commands = read_allowed_commands(params.commands);
std::vector<std::string> allowed_commands = read_allowed_commands(params.commands);
if (allowed_commands.empty()) {
fprintf(stderr, "%s: error: failed to read allowed commands from '%s'\n", __func__, params.commands.c_str());
return 2;
}
int max_len = 0;
std::vector<std::vector<whisper_token>> allowed_tokens;
for (const auto & cmd : allowed_commands) {
whisper_token tokens[1024];
allowed_tokens.emplace_back();
@ -623,7 +560,7 @@ int main(int argc, char ** argv) {
fprintf(stderr, " ]\n");
}
k_prompt = "select one from the available words: ";
std::string k_prompt = "select one from the available words: ";
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
if (i > 0) {
k_prompt += ", ";
@ -633,6 +570,7 @@ int main(int argc, char ** argv) {
k_prompt += ". selected word: ";
// tokenize prompt
std::vector<whisper_token> k_tokens;
{
k_tokens.resize(1024);
const int n = whisper_tokenize(ctx, k_prompt.c_str(), k_tokens.data(), 1024);
@ -655,12 +593,10 @@ int main(int argc, char ** argv) {
fprintf(stderr, "%s: listening for a command ...\n", __func__);
fprintf(stderr, "\n");
} else {
fprintf(stderr, "\n");
fprintf(stderr, "%s: general-purpose mode\n", __func__);
bool is_running = true;
k_prompt = "Ok Whisper, start listening for commands.";
}
std::vector<float> pcmf32_cur;
std::vector<float> pcmf32_prompt;
// main loop
while (is_running) {
@ -679,16 +615,145 @@ int main(int argc, char ** argv) {
}
if (!is_running) {
break;
return 0;
}
}
// delay
std::this_thread::sleep_for(std::chrono::milliseconds(100));
if (allowed_commands.empty()) {
audio.get(2000, pcmf32_cur);
if (vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1000, params.vad_thold, params.freq_thold, params.print_energy)) {
fprintf(stdout, "%s: Speech detected! Processing ...\n", __func__);
const auto t_start = std::chrono::high_resolution_clock::now();
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
wparams.print_progress = false;
wparams.print_special = params.print_special;
wparams.print_realtime = false;
wparams.print_timestamps = !params.no_timestamps;
wparams.translate = params.translate;
wparams.no_context = true;
wparams.single_segment = true;
wparams.max_tokens = 1;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.audio_ctx = params.audio_ctx;
wparams.speed_up = params.speed_up;
wparams.prompt_tokens = k_tokens.data();
wparams.prompt_n_tokens = k_tokens.size();
// run the transformer and a single decoding pass
if (whisper_full(ctx, wparams, pcmf32_cur.data(), pcmf32_cur.size()) != 0) {
fprintf(stderr, "%s: ERROR: whisper_full() failed\n", __func__);
break;
}
const auto * probs = whisper_get_probs(ctx);
std::vector<std::pair<float, int>> probs_id;
double psum = 0.0;
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
probs_id.emplace_back(probs[allowed_tokens[i][0]], i);
for (int j = 1; j < (int) allowed_tokens[i].size(); ++j) {
probs_id.back().first += probs[allowed_tokens[i][j]];
}
probs_id.back().first /= allowed_tokens[i].size();
psum += probs_id.back().first;
}
// normalize
for (auto & p : probs_id) {
p.first /= psum;
}
// sort descending
{
using pair_type = decltype(probs_id)::value_type;
std::sort(probs_id.begin(), probs_id.end(), [](const pair_type & a, const pair_type & b) {
return a.first > b.first;
});
}
// 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 token : allowed_tokens[cmd.second]) {
fprintf(stdout, "'%4s' %f ", whisper_token_to_str(ctx, token), probs[token]);
}
fprintf(stdout, "\n");
}
}
// best command
{
const auto t_end = std::chrono::high_resolution_clock::now();
const float prob = probs_id[0].first;
const int index = probs_id[0].second;
fprintf(stdout, "\n");
fprintf(stdout, "%s: detected command: %s%s%s | p = %f | t = %d ms\n", __func__,
"\033[1m", allowed_commands[index].c_str(), "\033[0m", prob,
(int) std::chrono::duration_cast<std::chrono::milliseconds>(t_end - t_start).count());
fprintf(stdout, "\n");
}
audio.clear();
}
}
return 0;
}
// general-purpose mode
// freely transcribe the voice into text
int process_general_transcription(struct whisper_context * ctx, audio_async &audio, const whisper_params &params) {
bool is_running = true;
bool have_prompt = false;
bool ask_prompt = true;
float prob0 = 0.0f;
float prob = 0.0f;
std::vector<float> pcmf32_cur;
std::vector<float> pcmf32_prompt;
const std::string k_prompt = "Ok Whisper, start listening for commands.";
fprintf(stderr, "\n");
fprintf(stderr, "%s: general-purpose mode\n", __func__);
// 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) {
return 0;
}
}
// delay
std::this_thread::sleep_for(std::chrono::milliseconds(100));
if (ask_prompt) {
fprintf(stdout, "\n");
@ -699,13 +764,13 @@ int main(int argc, char ** argv) {
}
{
int64_t t_ms = 0;
audio.get(2000, pcmf32_cur);
if (vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1000, params.vad_thold, params.freq_thold, params.print_energy)) {
fprintf(stdout, "%s: Speech detected! Processing ...\n", __func__);
int64_t t_ms = 0;
if (!have_prompt) {
// wait for activation phrase
audio.get(params.prompt_ms, pcmf32_cur);
@ -767,94 +832,68 @@ int main(int argc, char ** argv) {
audio.clear();
}
}
} else {
// command-list mode
// guide the transcription to match the most likely command from a provided list
audio.get(2000, pcmf32_cur);
if (vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1000, params.vad_thold, params.freq_thold, params.print_energy)) {
fprintf(stdout, "%s: Speech detected! Processing ...\n", __func__);
const auto t_start = std::chrono::high_resolution_clock::now();
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
wparams.print_progress = false;
wparams.print_special = params.print_special;
wparams.print_realtime = false;
wparams.print_timestamps = !params.no_timestamps;
wparams.translate = params.translate;
wparams.no_context = true;
wparams.single_segment = true;
wparams.max_tokens = 1;
wparams.language = params.language.c_str();
wparams.n_threads = params.n_threads;
wparams.audio_ctx = params.audio_ctx;
wparams.speed_up = params.speed_up;
wparams.prompt_tokens = k_tokens.data();
wparams.prompt_n_tokens = k_tokens.size();
}
// run the transformer and a single decoding pass
if (whisper_full(ctx, wparams, pcmf32_cur.data(), pcmf32_cur.size()) != 0) {
fprintf(stderr, "%s: ERROR: whisper_full() failed\n", __func__);
break;
return 0;
}
const auto * probs = whisper_get_probs(ctx);
std::vector<std::pair<float, int>> probs_id;
int main(int argc, char ** argv) {
whisper_params params;
double psum = 0.0;
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
probs_id.emplace_back(probs[allowed_tokens[i][0]], i);
for (int j = 1; j < (int) allowed_tokens[i].size(); ++j) {
probs_id.back().first += probs[allowed_tokens[i][j]];
}
probs_id.back().first /= allowed_tokens[i].size();
psum += probs_id.back().first;
if (whisper_params_parse(argc, argv, params) == false) {
return 1;
}
// normalize
for (auto & p : probs_id) {
p.first /= psum;
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);
}
// sort descending
{
using pair_type = decltype(probs_id)::value_type;
std::sort(probs_id.begin(), probs_id.end(), [](const pair_type & a, const pair_type & b) {
return a.first > b.first;
});
}
// whisper init
// print the commands and the respective probabilities
struct whisper_context * ctx = whisper_init(params.model.c_str());
// print some info about the processing
{
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, "'%4s' %f ", whisper_token_to_str(ctx, allowed_tokens[cmd.second][i]), probs[allowed_tokens[cmd.second][i]]);
fprintf(stderr, "\n");
if (!whisper_is_multilingual(ctx)) {
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(stdout, "\n");
}
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");
}
// best command
{
const auto t_end = std::chrono::high_resolution_clock::now();
// init audio
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>(t_end - t_start).count());
fprintf(stdout, "\n");
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();
// wait for 1 second to avoid any buffered noise
std::this_thread::sleep_for(std::chrono::milliseconds(1000));
audio.clear();
}
}
int ret_val = 0;
if (!params.commands.empty()) {
ret_val = process_command_list(ctx, audio, params);
} else {
ret_val = process_general_transcription(ctx, audio, params);
}
audio.pause();
@ -862,5 +901,5 @@ int main(int argc, char ** argv) {
whisper_print_timings(ctx);
whisper_free(ctx);
return 0;
return ret_val;
}

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