command.wasm : add voice assistant example for the Web (#171)

Same as the command-line tool "command", but runs in the browser

Also, added helper script "extra/deploy-wasm.sh" and fixed some timing
constants for the WASM examples.
pull/194/head
Georgi Gerganov 1 year ago
parent c536ff4005
commit 68ecadbbc9
No known key found for this signature in database
GPG Key ID: 449E073F9DC10735

@ -34,7 +34,7 @@ As an example, here is a video of running the model on an iPhone 13 device - ful
https://user-images.githubusercontent.com/1991296/197385372-962a6dea-bca1-4d50-bf96-1d8c27b98c81.mp4
You can also easily make your own offline voice assistant application:
You can also easily make your own offline voice assistant application: [command](examples/command)
https://user-images.githubusercontent.com/1991296/204038393-2f846eae-c255-4099-a76d-5735c25c49da.mp4

@ -21,6 +21,7 @@ include_directories(${CMAKE_CURRENT_SOURCE_DIR})
if (EMSCRIPTEN)
add_subdirectory(whisper.wasm)
add_subdirectory(stream.wasm)
add_subdirectory(command.wasm)
add_subdirectory(talk.wasm)
else()
add_subdirectory(main)

@ -0,0 +1,47 @@
#
# libcommand
#
set(TARGET libcommand)
add_executable(${TARGET}
emscripten.cpp
)
target_link_libraries(${TARGET} PRIVATE
whisper
)
unset(EXTRA_FLAGS)
if (WHISPER_WASM_SINGLE_FILE)
set(EXTRA_FLAGS "-s SINGLE_FILE=1")
message(STATUS "Embedding WASM inside command.js")
add_custom_command(
TARGET ${TARGET} POST_BUILD
COMMAND ${CMAKE_COMMAND} -E copy
${CMAKE_BINARY_DIR}/bin/libcommand.js
${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/command.wasm/command.js
)
endif()
set_target_properties(${TARGET} PROPERTIES LINK_FLAGS " \
--bind \
-s USE_PTHREADS=1 \
-s PTHREAD_POOL_SIZE=8 \
-s INITIAL_MEMORY=1024MB \
-s TOTAL_MEMORY=1024MB \
-s FORCE_FILESYSTEM=1 \
-s EXPORTED_RUNTIME_METHODS=\"['print', 'printErr', 'ccall', 'cwrap']\" \
${EXTRA_FLAGS} \
")
#
# command.wasm
#
set(TARGET command.wasm)
configure_file(${CMAKE_CURRENT_SOURCE_DIR}/index-tmpl.html ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/index.html @ONLY)
configure_file(${CMAKE_CURRENT_SOURCE_DIR}/../helpers.js ${CMAKE_RUNTIME_OUTPUT_DIRECTORY}/${TARGET}/helpers.js @ONLY)

@ -0,0 +1,23 @@
# command.wasm
This is a basic Voice Assistant example that accepts voice commands from the microphone.
It runs in fully in the browser via WebAseembly.
Online demo: https://whisper.ggerganov.com/command/
Terminal version: https://github.com/ggerganov/whisper.cpp/examples/command
## Build instructions
```bash
# build using Emscripten (v3.1.2)
git clone https://github.com/ggerganov/whisper.cpp
cd whisper.cpp
mkdir build-em && cd build-em
emcmake cmake ..
make -j
# copy the produced page to your HTTP path
cp bin/command.wasm/* /path/to/html/
cp bin/libcommand.worker.js /path/to/html/
```

@ -0,0 +1,408 @@
#include "ggml.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;
std::vector<struct whisper_context *> g_contexts(4, nullptr);
std::mutex g_mutex;
std::thread g_worker;
std::atomic<bool> g_running(false);
std::string g_status = "";
std::string g_status_forced = "";
std::string g_transcribed = "";
std::vector<float> g_pcmf32;
static std::string trim(const std::string & s) {
std::regex e("^\\s+|\\s+$");
return std::regex_replace(s, e, "");
}
static void high_pass_filter(std::vector<float> & data, float cutoff, float sample_rate) {
const float rc = 1.0f / (2.0f * M_PI * cutoff);
const float dt = 1.0f / sample_rate;
const float alpha = dt / (rc + dt);
float y = data[0];
for (size_t i = 1; i < data.size(); i++) {
y = alpha * (y + data[i] - data[i - 1]);
data[i] = y;
}
}
// compute similarity between two strings using Levenshtein distance
static 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()));
}
void command_set_status(const std::string & status) {
std::lock_guard<std::mutex> lock(g_mutex);
g_status = status;
}
bool command_vad_simple(std::vector<float> & pcmf32, int sample_rate, int last_ms, float vad_thold, float freq_thold, bool verbose) {
const int n_samples = pcmf32.size();
const int n_samples_last = (sample_rate * last_ms) / 1000;
if (n_samples_last >= n_samples) {
// not enough samples - assume no speech
return false;
}
if (freq_thold > 0.0f) {
high_pass_filter(pcmf32, freq_thold, sample_rate);
}
float energy_all = 0.0f;
float energy_last = 0.0f;
for (size_t i = 0; i < n_samples; i++) {
energy_all += fabsf(pcmf32[i]);
if (i >= n_samples - n_samples_last) {
energy_last += fabsf(pcmf32[i]);
}
}
energy_all /= n_samples;
energy_last /= n_samples_last;
if (verbose) {
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);
}
if (energy_last > vad_thold*energy_all) {
return false;
}
return true;
}
std::string command_transcribe(whisper_context * ctx, const whisper_full_params & wparams, const std::vector<float> & pcmf32, float & prob, int64_t & t_ms) {
const auto t_start = std::chrono::high_resolution_clock::now();
prob = 0.0f;
t_ms = 0;
if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) {
return "";
}
int prob_n = 0;
std::string result;
const int n_segments = whisper_full_n_segments(ctx);
for (int i = 0; i < n_segments; ++i) {
const char * text = whisper_full_get_segment_text(ctx, i);
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;
}
void command_get_audio(int ms, int sample_rate, std::vector<float> & audio) {
const int64_t n_samples = (ms * sample_rate) / 1000;
int64_t n_take = 0;
if (g_pcmf32.size() < n_samples) {
n_take = g_pcmf32.size();
} else {
n_take = n_samples;
}
audio.resize(n_take);
std::copy(g_pcmf32.end() - n_take, g_pcmf32.end(), audio.begin());
}
void command_main(size_t index) {
command_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 = false;
wparams.max_tokens = 32;
wparams.audio_ctx = 768; // partial encoder context for better performance
wparams.language = "en";
printf("command: using %d threads\n", wparams.n_threads);
bool is_running = true;
bool have_prompt = false;
bool ask_prompt = true;
bool print_energy = false;
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.";
// whisper context
auto & ctx = g_contexts[index];
const int32_t vad_ms = 2000;
const int32_t prompt_ms = 5000;
const int32_t command_ms = 4000;
const float vad_thold = 0.1f;
const float freq_thold = -1.0f;
while (g_running) {
// delay
std::this_thread::sleep_for(std::chrono::milliseconds(100));
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");
{
char txt[1024];
snprintf(txt, sizeof(txt), "Say the following phrase: '%s'", k_prompt.c_str());
command_set_status(txt);
}
ask_prompt = false;
}
int64_t t_ms = 0;
{
command_get_audio(vad_ms, WHISPER_SAMPLE_RATE, pcmf32_cur);
if (command_vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1000, vad_thold, freq_thold, print_energy)) {
fprintf(stdout, "%s: Speech detected! Processing ...\n", __func__);
command_set_status("Speech detected! Processing ...");
if (!have_prompt) {
command_get_audio(prompt_ms, WHISPER_SAMPLE_RATE, pcmf32_cur);
const auto txt = ::trim(::command_transcribe(ctx, wparams, pcmf32_cur, prob0, t_ms));
fprintf(stdout, "%s: Heard '%s%s%s', (t = %d ms)\n", __func__, "\033[1m", txt.c_str(), "\033[0m", (int) t_ms);
const float sim = similarity(txt, k_prompt);
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");
{
char txt[1024];
snprintf(txt, sizeof(txt), "Success! Waiting for voice commands ...");
command_set_status(txt);
}
// save the audio for the prompt
pcmf32_prompt = pcmf32_cur;
have_prompt = true;
}
} else {
command_get_audio(command_ms, WHISPER_SAMPLE_RATE, pcmf32_cur);
// prepend the prompt audio
pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end());
const auto txt = ::trim(::command_transcribe(ctx, wparams, pcmf32_cur, prob, t_ms));
prob = 100.0f*(prob - prob0);
fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str());
// 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);
const float sim = similarity(prompt, k_prompt);
//fprintf(stderr, "%s: prompt = '%s', sim = %f\n", __func__, prompt.c_str(), sim);
if (sim > best_sim) {
best_sim = sim;
best_len = n;
}
}
const std::string command = ::trim(txt.substr(best_len));
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");
{
char txt[1024];
snprintf(txt, sizeof(txt), "Command '%s', (t = %d ms)", command.c_str(), (int) t_ms);
command_set_status(txt);
}
{
std::lock_guard<std::mutex> lock(g_mutex);
g_transcribed = command;
}
}
g_pcmf32.clear();
}
}
}
if (index < g_contexts.size()) {
whisper_free(g_contexts[index]);
g_contexts[index] = nullptr;
}
}
EMSCRIPTEN_BINDINGS(command) {
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]() {
command_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("get_transcribed", emscripten::optional_override([]() {
std::string transcribed;
{
std::lock_guard<std::mutex> lock(g_mutex);
transcribed = std::move(g_transcribed);
}
return transcribed;
}));
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;
}
}));
}

@ -0,0 +1,386 @@
<!doctype html>
<html lang="en-us">
<head>
<title>command : Voice assistant example using Whisper + WebAssembly</title>
<style>
#output {
width: 100%;
height: 100%;
margin: 0 auto;
margin-top: 10px;
border-left: 0px;
border-right: 0px;
padding-left: 0px;
padding-right: 0px;
display: block;
background-color: black;
color: white;
font-size: 10px;
font-family: 'Lucida Console', Monaco, monospace;
outline: none;
white-space: pre;
overflow-wrap: normal;
overflow-x: scroll;
}
</style>
</head>
<body>
<div id="main-container">
<b>command : Voice assistant example using Whisper + WebAssembly</b>
<br><br>
You can find more about this project on <a href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/command.wasm">GitHub</a>.
<br><br>
<hr>
Select the model you would like to use, click the "Start" button and follow the instructions.
<br><br>
<div id="model-whisper">
Whisper model: <span id="model-whisper-status"></span>
<button id="fetch-whisper-tiny-en" onclick="loadWhisper('tiny.en')">tiny.en (75 MB)</button>
<button id="fetch-whisper-base-en" onclick="loadWhisper('base.en')">base.en (142 MB)</button>
<span id="fetch-whisper-progress"></span>
<!--
<input type="file" id="file" name="file" onchange="loadFile(event, 'whisper.bin')" />
-->
</div>
<br>
<div id="input">
<button id="start" onclick="onStart()" disabled>Start</button>
<button id="stop" onclick="onStop()" disabled>Stop</button>
<button id="clear" onclick="clearCache()">Clear Cache</button>
</div>
<br>
<div id="state">
Status: <b><span id="state-status">not started</span></b>
<pre id="state-transcribed">[The recognized voice commands will be displayed here]</pre>
</div>
<hr>
Debug output:
<textarea id="output" rows="20"></textarea>
<br>
<b>Troubleshooting</b>
<br><br>
The page does some heavy computations, so make sure:
<ul>
<li>To use a modern web browser (e.g. Chrome, Firefox)</li>
<li>To use a fast desktop or laptop computer (i.e. not a mobile phone)</li>
<li>Your browser supports WASM <a href="https://webassembly.org/roadmap/">Fixed-width SIMD</a></li>
</ul>
<div class="cell-version">
<span>
|
Build time: <span class="nav-link">@GIT_DATE@</span> |
Commit hash: <a class="nav-link" href="https://github.com/ggerganov/whisper.cpp/commit/@GIT_SHA1@">@GIT_SHA1@</a> |
Commit subject: <span class="nav-link">@GIT_COMMIT_SUBJECT@</span> |
<a class="nav-link" href="https://github.com/ggerganov/whisper.cpp/tree/master/examples/command.wasm">Source Code</a> |
</span>
</div>
</div>
<script type="text/javascript" src="helpers.js"></script>
<script type='text/javascript'>
// web audio context
var context = null;
// audio data
var audio = null;
var audio0 = null;
// the command instance
var instance = null;
// model name
var model_whisper = null;
var Module = {
print: printTextarea,
printErr: printTextarea,
setStatus: function(text) {
printTextarea('js: ' + text);
},
monitorRunDependencies: function(left) {
},
preRun: function() {
printTextarea('js: Preparing ...');
},
postRun: function() {
printTextarea('js: Initialized successfully!');
}
};
//
// fetch models
//
let dbVersion = 1
let dbName = 'whisper.ggerganov.com';
let indexedDB = window.indexedDB || window.mozIndexedDB || window.webkitIndexedDB || window.msIndexedDB
function storeFS(fname, buf) {
// write to WASM file using FS_createDataFile
// if the file exists, delete it
try {
Module.FS_unlink(fname);
} catch (e) {
// ignore
}
Module.FS_createDataFile("/", fname, buf, true, true);
printTextarea('storeFS: stored model: ' + fname + ' size: ' + buf.length);
document.getElementById('model-whisper-status').innerHTML = 'loaded "' + model_whisper + '"!';
if (model_whisper != null) {
document.getElementById('start').disabled = false;
document.getElementById('stop' ).disabled = true;
}
}
function loadWhisper(model) {
let urls = {
'tiny.en': 'https://whisper.ggerganov.com/ggml-model-whisper-tiny.en.bin',
'base.en': 'https://whisper.ggerganov.com/ggml-model-whisper-base.en.bin',
};
let sizes = {
'tiny.en': 75,
'base.en': 142,
};
let url = urls[model];
let dst = 'whisper.bin';
let size_mb = sizes[model];
model_whisper = model;
document.getElementById('fetch-whisper-tiny-en').style.display = 'none';
document.getElementById('fetch-whisper-base-en').style.display = 'none';
document.getElementById('model-whisper-status').innerHTML = 'loading "' + model + '" ... ';
cbProgress = function(p) {
let el = document.getElementById('fetch-whisper-progress');
el.innerHTML = Math.round(100*p) + '%';
};
cbCancel = function() {
var el;
el = document.getElementById('fetch-whisper-tiny-en'); if (el) el.style.display = 'inline-block';
el = document.getElementById('fetch-whisper-base-en'); if (el) el.style.display = 'inline-block';
el = document.getElementById('model-whisper-status'); if (el) el.innerHTML = '';
};
loadRemote(url, dst, size_mb, cbProgress, storeFS, cbCancel, printTextarea);
}
//
// microphone
//
const kSampleRate = 16000;
const kRestartRecording_s = 120;
const kIntervalAudio_ms = 250; // pass the recorded audio to the C++ instance at this rate
var mediaRecorder = null;
var doRecording = false;
var startTime = 0;
window.AudioContext = window.AudioContext || window.webkitAudioContext;
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
function stopRecording() {
Module.set_status("paused");
doRecording = false;
audio0 = null;
audio = null;
context = null;
}
function startRecording() {
if (!context) {
context = new AudioContext({
sampleRate: kSampleRate,
channelCount: 1,
echoCancellation: false,
autoGainControl: true,
noiseSuppression: true,
});
}
Module.set_status("");
document.getElementById('start').disabled = true;
document.getElementById('stop').disabled = false;
doRecording = true;
startTime = Date.now();
var chunks = [];
var stream = null;
navigator.mediaDevices.getUserMedia({audio: true, video: false})
.then(function(s) {
stream = s;
mediaRecorder = new MediaRecorder(stream);
mediaRecorder.ondataavailable = function(e) {
chunks.push(e.data);
var blob = new Blob(chunks, { 'type' : 'audio/ogg; codecs=opus' });
var reader = new FileReader();
reader.onload = function(event) {
var buf = new Uint8Array(reader.result);
if (!context) {
return;
}
context.decodeAudioData(buf.buffer, function(audioBuffer) {
var offlineContext = new OfflineAudioContext(audioBuffer.numberOfChannels, audioBuffer.length, audioBuffer.sampleRate);
var source = offlineContext.createBufferSource();
source.buffer = audioBuffer;
source.connect(offlineContext.destination);
source.start(0);
offlineContext.startRendering().then(function(renderedBuffer) {
audio = renderedBuffer.getChannelData(0);
//printTextarea('js: audio recorded, size: ' + audio.length + ', old size: ' + (audio0 == null ? 0 : audio0.length));
var audioAll = new Float32Array(audio0 == null ? audio.length : audio0.length + audio.length);
if (audio0 != null) {
audioAll.set(audio0, 0);
}
audioAll.set(audio, audio0 == null ? 0 : audio0.length);
if (instance) {
Module.set_audio(instance, audioAll);
}
});
}, function(e) {
audio = null;
});
}
reader.readAsArrayBuffer(blob);
};
mediaRecorder.onstop = function(e) {
if (doRecording) {
setTimeout(function() {
startRecording();
});
}
};
mediaRecorder.start(kIntervalAudio_ms);
})
.catch(function(err) {
printTextarea('js: error getting audio stream: ' + err);
});
var interval = setInterval(function() {
if (!doRecording) {
clearInterval(interval);
mediaRecorder.stop();
stream.getTracks().forEach(function(track) {
track.stop();
});
document.getElementById('start').disabled = false;
document.getElementById('stop').disabled = true;
mediaRecorder = null;
}
// if audio length is more than kRestartRecording_s seconds, restart recording
if (audio != null && audio.length > kSampleRate*kRestartRecording_s) {
if (doRecording) {
//printTextarea('js: restarting recording');
clearInterval(interval);
audio0 = audio;
audio = null;
mediaRecorder.stop();
stream.getTracks().forEach(function(track) {
track.stop();
});
}
}
}, 100);
}
//
// main
//
var nLines = 0;
var intervalUpdate = null;
var transcribedAll = '';
function onStart() {
if (!instance) {
instance = Module.init('whisper.bin');
if (instance) {
printTextarea("js: whisper initialized, instance: " + instance);
}
}
if (!instance) {
printTextarea("js: failed to initialize whisper");
return;
}
startRecording();
intervalUpdate = setInterval(function() {
var transcribed = Module.get_transcribed();
if (transcribed != null && transcribed.length > 1) {
transcribedAll += transcribed + '<br>';
nLines++;
// if more than 10 lines, remove the first line
if (nLines > 10) {
var i = transcribedAll.indexOf('<br>');
if (i > 0) {
transcribedAll = transcribedAll.substring(i + 4);
nLines--;
}
}
}
document.getElementById('state-status').innerHTML = Module.get_status();
document.getElementById('state-transcribed').innerHTML = transcribedAll;
}, 100);
}
function onStop() {
stopRecording();
}
</script>
<script type="text/javascript" src="command.js"></script>
</body>
</html>

@ -13,6 +13,8 @@ More info is available in [issue #171](https://github.com/ggerganov/whisper.cpp/
https://user-images.githubusercontent.com/1991296/204038393-2f846eae-c255-4099-a76d-5735c25c49da.mp4
Web version: https://github.com/ggerganov/whisper.cpp/examples/command.wasm
## Building
The `command` tool depends on SDL2 library to capture audio from the microphone. You can build it like this:

@ -535,7 +535,7 @@ int main(int argc, char ** argv) {
bool is_running = true;
bool have_prompt = false;
bool ask_prompt = true;
bool ask_prompt = true;
float prob0 = 0.0f;
float prob = 0.0f;

@ -100,12 +100,6 @@
<script type="text/javascript" src="helpers.js"></script>
<script type='text/javascript'>
const kRestartRecording_s = 15;
const kSampleRate = 16000;
window.AudioContext = window.AudioContext || window.webkitAudioContext;
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
// web audio context
var context = null;
@ -204,10 +198,17 @@
// microphone
//
const kSampleRate = 16000;
const kRestartRecording_s = 120;
const kIntervalAudio_ms = 5000; // pass the recorded audio to the C++ instance at this rate
var mediaRecorder = null;
var doRecording = false;
var startTime = 0;
window.AudioContext = window.AudioContext || window.webkitAudioContext;
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
function stopRecording() {
Module.set_status("paused");
doRecording = false;
@ -219,7 +220,7 @@
function startRecording() {
if (!context) {
context = new AudioContext({
sampleRate: 16000,
sampleRate: kSampleRate,
channelCount: 1,
echoCancellation: false,
autoGainControl: true,
@ -292,7 +293,7 @@
}
};
mediaRecorder.start(5000);
mediaRecorder.start(kIntervalAudio_ms);
})
.catch(function(err) {
printTextarea('js: error getting audio stream: ' + err);
@ -326,7 +327,7 @@
});
}
}
}, 250);
}, 100);
}
//

@ -160,12 +160,6 @@
<script type="text/javascript" src="helpers.js"></script>
<script type='text/javascript'>
const kRestartRecording_s = 15;
const kSampleRate = 16000;
window.AudioContext = window.AudioContext || window.webkitAudioContext;
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
// web audio context
var context = null;
@ -342,10 +336,17 @@
// microphone
//
const kSampleRate = 16000;
const kRestartRecording_s = 120;
const kIntervalAudio_ms = 250; // pass the recorded audio to the C++ instance at this rate
var mediaRecorder = null;
var doRecording = false;
var startTime = 0;
window.AudioContext = window.AudioContext || window.webkitAudioContext;
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
function stopRecording() {
Module.set_status("paused");
doRecording = false;
@ -357,7 +358,7 @@
function startRecording() {
if (!context) {
context = new AudioContext({
sampleRate: 16000,
sampleRate: kSampleRate,
channelCount: 1,
echoCancellation: false,
autoGainControl: true,
@ -431,7 +432,7 @@
}
};
mediaRecorder.start(250);
mediaRecorder.start(kIntervalAudio_ms);
})
.catch(function(err) {
printTextarea('js: error getting audio stream: ' + err);
@ -466,7 +467,7 @@
});
}
}
}, 250);
}, 100);
}
//

@ -225,12 +225,6 @@
}
};
const kMaxAudio_s = 120;
const kSampleRate = 16000;
window.AudioContext = window.AudioContext || window.webkitAudioContext;
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
// web audio context
var context = null;
@ -348,9 +342,21 @@
// audio file
//
const kMaxAudio_s = 120;
const kSampleRate = 16000;
window.AudioContext = window.AudioContext || window.webkitAudioContext;
window.OfflineAudioContext = window.OfflineAudioContext || window.webkitOfflineAudioContext;
function loadAudio(event) {
if (!context) {
context = new AudioContext({sampleRate: 16000});
context = new AudioContext({
sampleRate: kSampleRate,
channelCount: 1,
echoCancellation: false,
autoGainControl: true,
noiseSuppression: true,
});
}
var file = event.target.files[0] || null;
@ -410,7 +416,13 @@
// update progress information
function startRecording() {
if (!context) {
context = new AudioContext({sampleRate: 16000});
context = new AudioContext({
sampleRate: kSampleRate,
channelCount: 1,
echoCancellation: false,
autoGainControl: true,
noiseSuppression: true,
});
}
document.getElementById('start').disabled = true;

@ -0,0 +1,30 @@
#!/bin/bash
#
# This is a helper script to deploy all WebAssembly examples to my node
# Run from the build directory:
#
# cd build-em
# ../extra/deploy-wasm.sh
#
# check if emcmake is available
if ! command -v emcmake &> /dev/null
then
echo "Error: emscripten environment is not set up"
exit
fi
emcmake cmake .. && make -j
if [ $? -ne 0 ]; then
echo "Error: build failed"
exit
fi
# copy all wasm files to the node
scp bin/whisper.wasm/* root@linode0:/var/www/html/whisper/ && scp bin/libwhisper.worker.js root@linode0:/var/www/html/whisper/
scp bin/stream.wasm/* root@linode0:/var/www/html/whisper/stream/ && scp bin/libstream.worker.js root@linode0:/var/www/html/whisper/stream/
scp bin/command.wasm/* root@linode0:/var/www/html/whisper/command/ && scp bin/libcommand.worker.js root@linode0:/var/www/html/whisper/command/
scp bin/talk.wasm/* root@linode0:/var/www/html/whisper/talk/ && scp bin/libtalk.worker.js root@linode0:/var/www/html/whisper/talk/
echo "Done"
exit
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