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

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This makes it easier to understand if you're looking for only one of the capabilities.
pull/350/head
Andy Maloney 2 years ago committed by GitHub
parent 424c410c42
commit f00509d57c
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GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 331 additions and 292 deletions
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examples/command/command.cpp
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@ -510,351 +510,390 @@ std::vector<std::string> read_allowed_commands(const std::string & fname) {
return allowed_commands;
}
int main(int argc, char ** argv) {
whisper_params params;
// 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__);
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();
for (int l = 0; l < (int) cmd.size(); ++l) {
// NOTE: very important to add the whitespace !
// the reason is that the first decoded token starts with a whitespace too!
std::string ss = std::string(" ") + cmd.substr(0, l + 1);
const int n = whisper_tokenize(ctx, ss.c_str(), tokens, 1024);
if (n < 0) {
fprintf(stderr, "%s: error: failed to tokenize command '%s'\n", __func__, cmd.c_str());
return 3;
}
if (n == 1) {
allowed_tokens.back().push_back(tokens[0]);
}
}
max_len = std::max(max_len, (int) cmd.size());
}
fprintf(stderr, "%s: allowed commands [ tokens ]:\n", __func__);
fprintf(stderr, "\n");
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
fprintf(stderr, " - \033[1m%-*s\033[0m = [", max_len, allowed_commands[i].c_str());
for (const auto & token : allowed_tokens[i]) {
fprintf(stderr, " %5d", token);
}
fprintf(stderr, " ]\n");
}
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 += ", ";
}
k_prompt += allowed_commands[i];
}
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);
if (n < 0) {
fprintf(stderr, "%s: error: failed to tokenize prompt '%s'\n", __func__, k_prompt.c_str());
return 4;
}
k_tokens.resize(n);
}
fprintf(stderr, "\n");
fprintf(stderr, "%s: prompt: '%s'\n", __func__, k_prompt.c_str());
fprintf(stderr, "%s: tokens: [", __func__);
for (const auto & token : k_tokens) {
fprintf(stderr, " %d", token);
}
fprintf(stderr, " ]\n");
fprintf(stderr, "\n");
fprintf(stderr, "%s: listening for a command ...\n", __func__);
fprintf(stderr, "\n");
bool is_running = true;
std::vector<float> pcmf32_cur;
std::vector<float> pcmf32_prompt;
// 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 (whisper_params_parse(argc, argv, params) == false) {
return 1;
}
if (!is_running) {
return 0;
}
}
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);
}
// delay
std::this_thread::sleep_for(std::chrono::milliseconds(100));
// whisper init
audio.get(2000, pcmf32_cur);
struct whisper_context * ctx = whisper_init(params.model.c_str());
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__);
// 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);
const auto t_start = std::chrono::high_resolution_clock::now();
fprintf(stderr, "\n");
}
whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
// init audio
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;
audio_async audio(30*1000);
if (!audio.init(params.capture_id, WHISPER_SAMPLE_RATE)) {
fprintf(stderr, "%s: audio.init() failed!\n", __func__);
return 1;
}
wparams.audio_ctx = params.audio_ctx;
wparams.speed_up = params.speed_up;
audio.resume();
wparams.prompt_tokens = k_tokens.data();
wparams.prompt_n_tokens = k_tokens.size();
// wait for 1 second to avoid any buffered noise
std::this_thread::sleep_for(std::chrono::milliseconds(1000));
audio.clear();
// 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;
}
int max_len = 0;
const auto * probs = whisper_get_probs(ctx);
std::vector<std::pair<float, int>> probs_id;
bool is_running = true;
bool have_prompt = false;
bool ask_prompt = true;
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");
}
}
float prob0 = 0.0f;
float prob = 0.0f;
// best command
{
const auto t_end = std::chrono::high_resolution_clock::now();
std::vector<float> pcmf32_cur;
std::vector<float> pcmf32_prompt;
const float prob = probs_id[0].first;
const int index = probs_id[0].second;
std::vector<std::string> allowed_commands;
std::vector<std::vector<whisper_token>> allowed_tokens;
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");
}
std::string k_prompt;
std::vector<whisper_token> k_tokens;
audio.clear();
}
}
if (!params.commands.empty()) {
fprintf(stderr, "\n");
fprintf(stderr, "%s: guided mode\n", __func__);
return 0;
}
allowed_commands = read_allowed_commands(params.commands);
// 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 (allowed_commands.empty()) {
fprintf(stderr, "%s: error: failed to read allowed commands from '%s'\n", __func__, params.commands.c_str());
return 2;
}
if (!is_running) {
return 0;
}
}
for (const auto & cmd : allowed_commands) {
whisper_token tokens[1024];
allowed_tokens.emplace_back();
// delay
std::this_thread::sleep_for(std::chrono::milliseconds(100));
for (int l = 0; l < (int) cmd.size(); ++l) {
// NOTE: very important to add the whitespace !
// the reason is that the first decoded token starts with a whitespace too!
std::string ss = std::string(" ") + cmd.substr(0, l + 1);
if (ask_prompt) {
fprintf(stdout, "\n");
fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m");
fprintf(stdout, "\n");
const int n = whisper_tokenize(ctx, ss.c_str(), tokens, 1024);
if (n < 0) {
fprintf(stderr, "%s: error: failed to tokenize command '%s'\n", __func__, cmd.c_str());
return 3;
}
ask_prompt = false;
}
if (n == 1) {
allowed_tokens.back().push_back(tokens[0]);
}
}
{
audio.get(2000, pcmf32_cur);
max_len = std::max(max_len, (int) cmd.size());
}
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__);
fprintf(stderr, "%s: allowed commands [ tokens ]:\n", __func__);
fprintf(stderr, "\n");
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
fprintf(stderr, " - \033[1m%-*s\033[0m = [", max_len, allowed_commands[i].c_str());
for (const auto & token : allowed_tokens[i]) {
fprintf(stderr, " %5d", token);
}
fprintf(stderr, " ]\n");
}
int64_t t_ms = 0;
k_prompt = "select one from the available words: ";
for (int i = 0; i < (int) allowed_commands.size(); ++i) {
if (i > 0) {
k_prompt += ", ";
}
k_prompt += allowed_commands[i];
}
k_prompt += ". selected word: ";
// tokenize prompt
{
k_tokens.resize(1024);
const int n = whisper_tokenize(ctx, k_prompt.c_str(), k_tokens.data(), 1024);
if (n < 0) {
fprintf(stderr, "%s: error: failed to tokenize prompt '%s'\n", __func__, k_prompt.c_str());
return 4;
}
k_tokens.resize(n);
}
if (!have_prompt) {
// wait for activation phrase
audio.get(params.prompt_ms, pcmf32_cur);
fprintf(stderr, "\n");
fprintf(stderr, "%s: prompt: '%s'\n", __func__, k_prompt.c_str());
fprintf(stderr, "%s: tokens: [", __func__);
for (const auto & token : k_tokens) {
fprintf(stderr, " %d", token);
}
fprintf(stderr, " ]\n");
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob0, t_ms));
fprintf(stderr, "\n");
fprintf(stderr, "%s: listening for a command ...\n", __func__);
fprintf(stderr, "\n");
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms);
} else {
fprintf(stderr, "\n");
fprintf(stderr, "%s: general-purpose mode\n", __func__);
k_prompt = "Ok Whisper, start listening for commands.";
}
// 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;
}
}
const float sim = similarity(txt, k_prompt);
if (!is_running) {
break;
}
}
if (txt.length() < 0.8*k_prompt.length() || txt.length() > 1.2*k_prompt.length() || sim < 0.8f) {
fprintf(stdout, "%s: WARNING: prompt not recognized, try again\n", __func__);
ask_prompt = true;
} else {
fprintf(stdout, "\n");
fprintf(stdout, "%s: The prompt has been recognized!\n", __func__);
fprintf(stdout, "%s: Waiting for voice commands ...\n", __func__);
fprintf(stdout, "\n");
// delay
std::this_thread::sleep_for(std::chrono::milliseconds(100));
// save the audio for the prompt
pcmf32_prompt = pcmf32_cur;
have_prompt = true;
}
} else {
// we have heard the activation phrase, now detect the commands
audio.get(params.command_ms, pcmf32_cur);
if (allowed_commands.empty()) {
// general-purpose mode
// freely transcribe the voice into text
// prepend the prompt audio
pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
if (ask_prompt) {
fprintf(stdout, "\n");
fprintf(stdout, "%s: Say the following phrase: '%s%s%s'\n", __func__, "\033[1m", k_prompt.c_str(), "\033[0m");
fprintf(stdout, "\n");
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms));
ask_prompt = false;
}
prob = 100.0f*(prob - prob0);
{
int64_t t_ms = 0;
//fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
audio.get(2000, pcmf32_cur);
// find the prompt in the text
float best_sim = 0.0f;
size_t best_len = 0;
for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
const auto prompt = txt.substr(0, n);
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 float sim = similarity(prompt, k_prompt);
if (!have_prompt) {
// wait for activation phrase
audio.get(params.prompt_ms, pcmf32_cur);
//fprintf(stderr, "%s: prompt = '%s', sim = %f\n", __func__, prompt.c_str(), sim);
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob0, t_ms));
if (sim > best_sim) {
best_sim = sim;
best_len = n;
}
}
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms);
const std::string command = ::trim(txt.substr(best_len));
const float sim = similarity(txt, k_prompt);
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
fprintf(stdout, "\n");
}
if (txt.length() < 0.8*k_prompt.length() || txt.length() > 1.2*k_prompt.length() || sim < 0.8f) {
fprintf(stdout, "%s: WARNING: prompt not recognized, try again\n", __func__);
ask_prompt = true;
} else {
fprintf(stdout, "\n");
fprintf(stdout, "%s: The prompt has been recognized!\n", __func__);
fprintf(stdout, "%s: Waiting for voice commands ...\n", __func__);
fprintf(stdout, "\n");
audio.clear();
}
}
}
// save the audio for the prompt
pcmf32_prompt = pcmf32_cur;
have_prompt = true;
}
} else {
// we have heard the activation phrase, now detect the commands
audio.get(params.command_ms, pcmf32_cur);
return 0;
}
// prepend the prompt audio
pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
int main(int argc, char ** argv) {
whisper_params params;
const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms));
if (whisper_params_parse(argc, argv, params) == false) {
return 1;
}
prob = 100.0f*(prob - prob0);
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);
}
//fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
// whisper init
// find the prompt in the text
float best_sim = 0.0f;
size_t best_len = 0;
for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) {
const auto prompt = txt.substr(0, n);
struct whisper_context * ctx = whisper_init(params.model.c_str());
const float sim = similarity(prompt, k_prompt);
// 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, "%s: prompt = '%s', sim = %f\n", __func__, prompt.c_str(), sim);
fprintf(stderr, "\n");
}
if (sim > best_sim) {
best_sim = sim;
best_len = n;
}
}
// init audio
const std::string command = ::trim(txt.substr(best_len));
audio_async audio(30*1000);
if (!audio.init(params.capture_id, WHISPER_SAMPLE_RATE)) {
fprintf(stderr, "%s: audio.init() failed!\n", __func__);
return 1;
}
fprintf(stdout, "%s: Command '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", command.c_str(), "\033[0m", (int) t_ms);
fprintf(stdout, "\n");
}
audio.resume();
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;
}
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 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(stdout, "\n");
}
}
// best command
{
const auto t_end = std::chrono::high_resolution_clock::now();
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.clear();
}
}
// 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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