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erew123 authored and GitHub committed 2024-03-28 21:36:51 +00:00
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import { doExtrasFetch, getApiUrl, modules } from '../../extensions.js';
import { saveTtsProviderSettings } from './index.js';
export { AllTalkTtsProvider };
class AllTalkTtsProvider {
//########//
// Config //
//########//
settings = {};
constructor() {
// Initialize with default settings if they are not already set
this.settings = {
provider_endpoint: this.settings.provider_endpoint || 'http://localhost:7851',
language: this.settings.language || 'en',
voiceMap: this.settings.voiceMap || {},
at_generation_method: this.settings.at_generation_method || 'standard_generation',
narrator_enabled: this.settings.narrator_enabled || 'false',
at_narrator_text_not_inside: this.settings.at_narrator_text_not_inside || 'narrator',
narrator_voice_gen: this.settings.narrator_voice_gen || 'female_01.wav',
finetuned_model: this.settings.finetuned_model || 'false'
};
// Separate property for dynamically updated settings from the server
this.dynamicSettings = {
modelsAvailable: [],
currentModel: '',
deepspeed_available: false,
deepSpeedEnabled: false,
lowVramEnabled: false,
};
}
ready = false;
voices = [];
separator = '. ';
audioElement = document.createElement('audio');
languageLabels = {
'Arabic': 'ar',
'Brazilian Portuguese': 'pt',
'Chinese': 'zh-cn',
'Czech': 'cs',
'Dutch': 'nl',
'English': 'en',
'French': 'fr',
'German': 'de',
'Italian': 'it',
'Polish': 'pl',
'Russian': 'ru',
'Spanish': 'es',
'Turkish': 'tr',
'Japanese': 'ja',
'Korean': 'ko',
'Hungarian': 'hu',
'Hindi': 'hi',
};
get settingsHtml() {
let html = `<div class="at-settings-separator">AllTalk Settings</div>`;
html += `<div class="at-settings-row">
<div class="at-settings-option">
<label for="at_generation_method">AllTalk TTS Generation Method</label>
<select id="at_generation_method">
<option value="standard_generation">Standard Audio Generation (AT Narrator - Optional)</option>
<option value="streaming_enabled">Streaming Audio Generation (AT Narrator - Disabled)</option>
</select>
</div>
</div>`;
html += `<div class="at-settings-row">
<div class="at-settings-option">
<label for="at_narrator_enabled">AT Narrator</label>
<select id="at_narrator_enabled">
<option value="true">Enabled</option>
<option value="false">Disabled</option>
</select>
</div>
<div class="at-settings-option">
<label for="at_narrator_text_not_inside">Text Not Inside * or " is</label>
<select id="at_narrator_text_not_inside">
<option value="narrator">Narrator</option>
<option value="character">Character</option>
</select>
</div>
</div>`;
html += `<div class="at-settings-row">
<div class="at-settings-option">
<label for="narrator_voice">Narrator Voice</label>
<select id="narrator_voice">`;
if (this.voices) {
for (let voice of this.voices) {
html += `<option value="${voice.voice_id}">${voice.name}</option>`;
}
}
html += `</select>
</div>
<div class="at-settings-option">
<label for="language_options">Language</label>
<select id="language_options">`;
for (let language in this.languageLabels) {
html += `<option value="${this.languageLabels[language]}" ${this.languageLabels[language] === this.settings?.language ? 'selected="selected"' : ''}>${language}</option>`;
}
html += `</select>
</div>
</div>`;
html += `<div class="at-model-endpoint-row">
<div class="at-model-option">
<label for="switch_model">Switch Model</label>
<select id="switch_model">
<option value="api_tts">API TTS</option>
<option value="api_local">API Local</option>
<option value="xttsv2_local">XTTSv2 Local</option>
</select>
</div>
<div class="at-endpoint-option">
<label for="at_server">AllTalk Endpoint:</label>
<input id="at_server" type="text" class="text_pole" maxlength="80" value="${this.settings.provider_endpoint}"/>
</div>
</div>`;
html += `<div class="at-model-endpoint-row">
<div class="at-settings-option">
<label for="low_vram">Low VRAM</label>
<input id="low_vram" type="checkbox"/>
</div>
<div class="at-settings-option">
<label for="deepspeed">DeepSpeed</label>
<input id="deepspeed" type="checkbox"/>
</div>
<div class="at-settings-option status-option">
<span>Status: <span id="status_info">Ready</span></span>
</div>
<div class="at-settings-option empty-option">
<!-- This div remains empty for spacing -->
</div>
</div>`;
html += `<div class="at-website-row">
<div class="at-website-option">
<span>AllTalk <a target="_blank" href="${this.settings.provider_endpoint}">Config & Docs</a>.</span>
</div>
<div class="at-website-option">
<span>AllTalk <a target="_blank" href="https://github.com/erew123/alltalk_tts/">Website</a>.</span>
</div>
</div>`;
html += `<div class="at-website-row">
<div class="at-website-option">
<span><strong>Text-generation-webui</strong> users - Uncheck <strong>Enable TTS</strong> in Text-generation-webui.</span>
</div>
</div>`;
return html;
}
//#################//
// Startup ST & AT //
//#################//
async loadSettings(settings) {
updateStatus('Offline');
if (Object.keys(settings).length === 0) {
console.info('Using default AllTalk TTS Provider settings');
} else {
// Populate settings with provided values, ignoring server-provided settings
for (const key in settings) {
if (key in this.settings) {
this.settings[key] = settings[key];
} else {
console.debug(`Ignoring non-user-configurable setting: ${key}`);
}
}
}
// Update UI elements to reflect the loaded settings
$('#at_server').val(this.settings.provider_endpoint);
$('#language_options').val(this.settings.language);
//$('#voicemap').val(this.settings.voiceMap);
$('#at_generation_method').val(this.settings.at_generation_method);
$('#at_narrator_enabled').val(this.settings.narrator_enabled);
$('#at_narrator_text_not_inside').val(this.settings.at_narrator_text_not_inside);
$('#narrator_voice').val(this.settings.narrator_voice_gen);
console.debug('AllTalkTTS: Settings loaded');
try {
// Check if TTS provider is ready
await this.checkReady();
await this.updateSettingsFromServer(); // Fetch dynamic settings from the TTS server
await this.fetchTtsVoiceObjects(); // Fetch voices only if service is ready
this.updateNarratorVoicesDropdown();
this.updateLanguageDropdown();
this.setupEventListeners();
this.applySettingsToHTML();
updateStatus('Ready');
} catch (error) {
console.error("Error loading settings:", error);
updateStatus('Offline');
}
}
applySettingsToHTML() {
// Apply loaded settings or use defaults
const narratorVoiceSelect = document.getElementById('narrator_voice');
const atNarratorSelect = document.getElementById('at_narrator_enabled');
const textNotInsideSelect = document.getElementById('at_narrator_text_not_inside');
const generationMethodSelect = document.getElementById('at_generation_method');
this.settings.narrator_voice = this.settings.narrator_voice_gen;
// Apply settings to Narrator Voice dropdown
if (narratorVoiceSelect && this.settings.narrator_voice) {
narratorVoiceSelect.value = this.settings.narrator_voice.replace('.wav', '');
}
// Apply settings to AT Narrator Enabled dropdown
if (atNarratorSelect) {
// Sync the state with the checkbox in index.js
const ttsPassAsterisksCheckbox = document.getElementById('tts_pass_asterisks'); // Access the checkbox from index.js
const ttsNarrateQuotedCheckbox = document.getElementById('tts_narrate_quoted'); // Access the checkbox from index.js
const ttsNarrateDialoguesCheckbox = document.getElementById('tts_narrate_dialogues'); // Access the checkbox from index.js
// Sync the state with the checkbox in index.js
if (this.settings.narrator_enabled) {
ttsPassAsterisksCheckbox.checked = false;
$('#tts_pass_asterisks').click(); // Simulate a click event
$('#tts_pass_asterisks').trigger('change');
}
if (!this.settings.narrator_enabled) {
ttsPassAsterisksCheckbox.checked = true;
$('#tts_pass_asterisks').click(); // Simulate a click event
$('#tts_pass_asterisks').trigger('change');
}
// Uncheck and set tts_narrate_quoted to false if narrator is enabled
if (this.settings.narrator_enabledd) {
ttsNarrateQuotedCheckbox.checked = true;
ttsNarrateDialoguesCheckbox.checked = true;
// Trigger click events instead of change events
$('#tts_narrate_quoted').click();
$('#tts_narrate_quoted').trigger('change');
$('#tts_narrate_dialogues').click();
$('#tts_narrate_dialogues').trigger('change');
}
atNarratorSelect.value = this.settings.narrator_enabled.toString();
this.settings.narrator_enabled = this.settings.narrator_enabled.toString();
}
// Apply settings to the Language dropdown
const languageSelect = document.getElementById('language_options');
if (languageSelect && this.settings.language) {
languageSelect.value = this.settings.language;
}
// Apply settings to Text Not Inside dropdown
if (textNotInsideSelect && this.settings.text_not_inside) {
textNotInsideSelect.value = this.settings.text_not_inside;
this.settings.at_narrator_text_not_inside = this.settings.text_not_inside;
}
// Apply settings to Generation Method dropdown
if (generationMethodSelect && this.settings.at_generation_method) {
generationMethodSelect.value = this.settings.at_generation_method;
}
// Additional logic to disable/enable dropdowns based on the selected generation method
const isStreamingEnabled = this.settings.at_generation_method === 'streaming_enabled';
if (isStreamingEnabled) {
// Disable certain dropdowns when streaming is enabled
if (atNarratorSelect) atNarratorSelect.disabled = true;
if (textNotInsideSelect) textNotInsideSelect.disabled = true;
if (narratorVoiceSelect) narratorVoiceSelect.disabled = true;
} else {
// Enable dropdowns for standard generation
if (atNarratorSelect) atNarratorSelect.disabled = false;
if (textNotInsideSelect) textNotInsideSelect.disabled = !this.settings.narrator_enabled;
if (narratorVoiceSelect) narratorVoiceSelect.disabled = !this.settings.narrator_enabled;
}
const modelSelect = document.getElementById('switch_model');
if (this.settings.finetuned_model === 'true') {
const ftOption = document.createElement('option');
ftOption.value = 'XTTSv2 FT';
ftOption.textContent = 'XTTSv2 FT';
modelSelect.appendChild(ftOption);
}
}
//##############################//
// Check AT Server is Available //
//##############################//
async checkReady() {
try {
const response = await fetch(`${this.settings.provider_endpoint}/api/ready`);
// Check if the HTTP request was successful
if (!response.ok) {
throw new Error(`HTTP Error Response: ${response.status} ${response.statusText}`);
}
const statusText = await response.text();
// Check if the response is 'Ready'
if (statusText === 'Ready') {
this.ready = true; // Set the ready flag to true
console.log('TTS service is ready.');
} else {
this.ready = false;
console.log('TTS service is not ready.');
}
} catch (error) {
console.error('Error checking TTS service readiness:', error);
this.ready = false; // Ensure ready flag is set to false in case of error
}
}
//######################//
// Get Available Voices //
//######################//
async fetchTtsVoiceObjects() {
const response = await fetch(`${this.settings.provider_endpoint}/api/voices`);
if (!response.ok) {
const errorText = await response.text();
throw new Error(`HTTP ${response.status}: ${errorText}`);
}
const data = await response.json();
const voices = data.voices.map(filename => {
const voiceName = filename.replace('.wav', '');
return {
name: voiceName,
voice_id: voiceName,
preview_url: null, // Preview URL will be dynamically generated
lang: 'en' // Default language
};
});
this.voices = voices; // Assign to the class property
return voices; // Also return this list
}
//##########################################//
// Get Current AT Server Config & Update ST //
//##########################################//
async updateSettingsFromServer() {
try {
// Fetch current settings
const response = await fetch(`${this.settings.provider_endpoint}/api/currentsettings`);
if (!response.ok) {
throw new Error(`Failed to fetch current settings: ${response.statusText}`);
}
const currentSettings = await response.json();
// Update internal settings
this.settings.modelsAvailable = currentSettings.models_available;
this.settings.currentModel = currentSettings.current_model_loaded;
this.settings.deepspeed_available = currentSettings.deepspeed_available;
this.settings.deepSpeedEnabled = currentSettings.deepspeed_status;
this.settings.lowVramEnabled = currentSettings.low_vram_status;
this.settings.finetuned_model = currentSettings.finetuned_model
// Update HTML elements
this.updateModelDropdown();
this.updateCheckboxes();
} catch (error) {
console.error(`Error updating settings from server: ${error}`);
}
}
//###################################################//
// Get Current AT Server Config & Update ST (Models) //
//###################################################//
updateModelDropdown() {
const modelSelect = document.getElementById('switch_model');
if (modelSelect) {
modelSelect.innerHTML = ''; // Clear existing options
this.settings.modelsAvailable.forEach(model => {
const option = document.createElement('option');
option.value = model.model_name;
option.textContent = model.model_name; // Use model_name instead of name
option.selected = model.model_name === this.settings.currentModel;
modelSelect.appendChild(option);
});
}
}
//#######################################################//
// Get Current AT Server Config & Update ST (DS and LVR) //
//#######################################################//
updateCheckboxes() {
const deepspeedCheckbox = document.getElementById('deepspeed');
const lowVramCheckbox = document.getElementById('low_vram');
if (lowVramCheckbox) lowVramCheckbox.checked = this.settings.lowVramEnabled;
if (deepspeedCheckbox) {
deepspeedCheckbox.checked = this.settings.deepSpeedEnabled;
deepspeedCheckbox.disabled = !this.settings.deepspeed_available; // Disable checkbox if deepspeed is not available
}
}
//###############################################################//
// Get Current AT Server Config & Update ST (AT Narrator Voices) //
//###############################################################//
updateNarratorVoicesDropdown() {
const narratorVoiceSelect = document.getElementById('narrator_voice');
if (narratorVoiceSelect && this.voices) {
// Clear existing options
narratorVoiceSelect.innerHTML = '';
// Add new options
for (let voice of this.voices) {
const option = document.createElement('option');
option.value = voice.voice_id;
option.textContent = voice.name;
narratorVoiceSelect.appendChild(option);
}
}
}
//######################################################//
// Get Current AT Server Config & Update ST (Languages) //
//######################################################//
updateLanguageDropdown() {
const languageSelect = document.getElementById('language_options');
if (languageSelect) {
// Ensure default language is set
this.settings.language = this.settings.language;
languageSelect.innerHTML = '';
for (let language in this.languageLabels) {
const option = document.createElement('option');
option.value = this.languageLabels[language];
option.textContent = language;
if (this.languageLabels[language] === this.settings.language) {
option.selected = true;
}
languageSelect.appendChild(option);
}
}
}
//########################################//
// Start AT TTS extenstion page listeners //
//########################################//
setupEventListeners() {
let debounceTimeout;
const debounceDelay = 500; // Milliseconds
// Define the event handler function
const onModelSelectChange = async (event) => {
console.log("Model select change event triggered"); // Debugging statement
const selectedModel = event.target.value;
console.log(`Selected model: ${selectedModel}`); // Debugging statement
// Set status to Processing
updateStatus('Processing');
try {
const response = await fetch(`${this.settings.provider_endpoint}/api/reload?tts_method=${encodeURIComponent(selectedModel)}`, {
method: 'POST'
});
if (!response.ok) {
throw new Error(`HTTP Error: ${response.status}`);
}
const data = await response.json();
console.log("POST response data:", data); // Debugging statement
// Set status to Ready if successful
updateStatus('Ready');
} catch (error) {
console.error("POST request error:", error); // Debugging statement
// Set status to Error in case of failure
updateStatus('Error');
}
// Handle response or error
};
const debouncedModelSelectChange = (event) => {
clearTimeout(debounceTimeout);
debounceTimeout = setTimeout(() => {
onModelSelectChange(event);
}, debounceDelay);
};
// Switch Model Listener
const modelSelect = document.getElementById('switch_model');
if (modelSelect) {
// Remove the event listener if it was previously added
modelSelect.removeEventListener('change', debouncedModelSelectChange);
// Add the debounced event listener
modelSelect.addEventListener('change', debouncedModelSelectChange);
}
// DeepSpeed Listener
const deepspeedCheckbox = document.getElementById('deepspeed');
if (deepspeedCheckbox) {
deepspeedCheckbox.addEventListener('change', async (event) => {
const deepSpeedValue = event.target.checked ? 'True' : 'False';
// Set status to Processing
updateStatus('Processing');
try {
const response = await fetch(`${this.settings.provider_endpoint}/api/deepspeed?new_deepspeed_value=${deepSpeedValue}`, {
method: 'POST'
});
if (!response.ok) {
throw new Error(`HTTP Error: ${response.status}`);
}
const data = await response.json();
console.log("POST response data:", data); // Debugging statement
// Set status to Ready if successful
updateStatus('Ready');
} catch (error) {
console.error("POST request error:", error); // Debugging statement
// Set status to Error in case of failure
updateStatus('Error');
}
});
}
// Low VRAM Listener
const lowVramCheckbox = document.getElementById('low_vram');
if (lowVramCheckbox) {
lowVramCheckbox.addEventListener('change', async (event) => {
const lowVramValue = event.target.checked ? 'True' : 'False';
// Set status to Processing
updateStatus('Processing');
try {
const response = await fetch(`${this.settings.provider_endpoint}/api/lowvramsetting?new_low_vram_value=${lowVramValue}`, {
method: 'POST'
});
if (!response.ok) {
throw new Error(`HTTP Error: ${response.status}`);
}
const data = await response.json();
console.log("POST response data:", data); // Debugging statement
// Set status to Ready if successful
updateStatus('Ready');
} catch (error) {
console.error("POST request error:", error); // Debugging statement
// Set status to Error in case of failure
updateStatus('Error');
}
});
}
// Narrator Voice Dropdown Listener
const narratorVoiceSelect = document.getElementById('narrator_voice');
if (narratorVoiceSelect) {
narratorVoiceSelect.addEventListener('change', (event) => {
this.settings.narrator_voice_gen = `${event.target.value}.wav`;
this.onSettingsChange(); // Save the settings after change
});
}
const textNotInsideSelect = document.getElementById('at_narrator_text_not_inside');
if (textNotInsideSelect) {
textNotInsideSelect.addEventListener('change', (event) => {
this.settings.text_not_inside = event.target.value;
this.onSettingsChange(); // Save the settings after change
});
}
// AT Narrator Dropdown Listener
const atNarratorSelect = document.getElementById('at_narrator_enabled');
const ttsPassAsterisksCheckbox = document.getElementById('tts_pass_asterisks'); // Access the checkbox from index.js
const ttsNarrateQuotedCheckbox = document.getElementById('tts_narrate_quoted'); // Access the checkbox from index.js
const ttsNarrateDialoguesCheckbox = document.getElementById('tts_narrate_dialogues'); // Access the checkbox from index.js
if (atNarratorSelect && textNotInsideSelect && narratorVoiceSelect) {
atNarratorSelect.addEventListener('change', (event) => {
const isNarratorEnabled = event.target.value === 'true';
this.settings.narrator_enabled = isNarratorEnabled; // Update the setting here
textNotInsideSelect.disabled = !isNarratorEnabled;
narratorVoiceSelect.disabled = !isNarratorEnabled;
// Sync the state with the checkbox in index.js
if (isNarratorEnabled) {
ttsPassAsterisksCheckbox.checked = false;
$('#tts_pass_asterisks').click(); // Simulate a click event
$('#tts_pass_asterisks').trigger('change');
}
if (!isNarratorEnabled) {
ttsPassAsterisksCheckbox.checked = true;
$('#tts_pass_asterisks').click(); // Simulate a click event
$('#tts_pass_asterisks').trigger('change');
}
// Uncheck and set tts_narrate_quoted to false if narrator is enabled
if (isNarratorEnabled) {
ttsNarrateQuotedCheckbox.checked = true;
ttsNarrateDialoguesCheckbox.checked = true;
// Trigger click events instead of change events
$('#tts_narrate_quoted').click();
$('#tts_narrate_quoted').trigger('change');
$('#tts_narrate_dialogues').click();
$('#tts_narrate_dialogues').trigger('change');
}
this.onSettingsChange(); // Save the settings after change
});
}
// Event Listener for AT Generation Method Dropdown
const atGenerationMethodSelect = document.getElementById('at_generation_method');
const atNarratorEnabledSelect = document.getElementById('at_narrator_enabled');
if (atGenerationMethodSelect) {
atGenerationMethodSelect.addEventListener('change', (event) => {
const selectedMethod = event.target.value;
if (selectedMethod === 'streaming_enabled') {
// Disable and unselect AT Narrator
atNarratorEnabledSelect.disabled = true;
atNarratorEnabledSelect.value = 'false';
textNotInsideSelect.disabled = true;
narratorVoiceSelect.disabled = true;
} else if (selectedMethod === 'standard_generation') {
// Enable AT Narrator
atNarratorEnabledSelect.disabled = false;
}
this.settings.at_generation_method = selectedMethod; // Update the setting here
this.onSettingsChange(); // Save the settings after change
});
}
// Listener for Language Dropdown
const languageSelect = document.getElementById('language_options');
if (languageSelect) {
languageSelect.addEventListener('change', (event) => {
this.settings.language = event.target.value;
this.onSettingsChange(); // Save the settings after change
});
}
// Listener for AllTalk Endpoint Input
const atServerInput = document.getElementById('at_server');
if (atServerInput) {
atServerInput.addEventListener('input', (event) => {
this.settings.provider_endpoint = event.target.value;
this.onSettingsChange(); // Save the settings after change
});
}
}
//#############################//
// Store ST interface settings //
//#############################//
onSettingsChange() {
// Update settings based on the UI elements
//this.settings.provider_endpoint = $('#at_server').val();
this.settings.language = $('#language_options').val();
//this.settings.voiceMap = $('#voicemap').val();
this.settings.at_generation_method = $('#at_generation_method').val();
this.settings.narrator_enabled = $('#at_narrator_enabled').val();
this.settings.at_narrator_text_not_inside = $('#at_narrator_text_not_inside').val();
this.settings.narrator_voice_gen = $('#narrator_voice').val();
// Save the updated settings
saveTtsProviderSettings();
}
//#########################//
// ST Handle Reload button //
//#########################//
async onRefreshClick() {
await this.checkReady(); // Check if the TTS provider is ready
await this.loadSettings(this.settings); // Reload the settings
// Additional actions as needed
}
//##################//
// Preview AT Voice //
//##################//
async previewTtsVoice(voiceName) {
try {
// Prepare data for POST request
const postData = new URLSearchParams();
postData.append("voice", `${voiceName}.wav`);
// Making the POST request
const response = await fetch(`${this.settings.provider_endpoint}/api/previewvoice/`, {
method: "POST",
headers: {
'Content-Type': 'application/x-www-form-urlencoded'
},
body: postData,
});
if (!response.ok) {
const errorText = await response.text();
console.error(`[previewTtsVoice] Error Response Text:`, errorText);
throw new Error(`HTTP ${response.status}: ${errorText}`);
}
// Assuming the server returns a URL to the .wav file
const data = await response.json();
if (data.output_file_url) {
// Use an audio element to play the .wav file
const audioElement = new Audio(data.output_file_url);
audioElement.play().catch(e => console.error("Error playing audio:", e));
} else {
console.warn("[previewTtsVoice] No output file URL received in the response");
throw new Error("No output file URL received in the response");
}
} catch (error) {
console.error("[previewTtsVoice] Exception caught during preview generation:", error);
throw error;
}
}
//#####################//
// Populate ST voices //
//#####################//
async getVoice(voiceName, generatePreview = false) {
// Ensure this.voices is populated
if (this.voices.length === 0) {
// Fetch voice objects logic
}
// Find the object where the name matches voiceName
const match = this.voices.find(voice => voice.name === voiceName);
if (!match) {
// Error handling
}
// Generate preview URL only if requested
if (!match.preview_url && generatePreview) {
// Generate preview logic
}
return match; // Return the found voice object
}
//##########################################//
// Generate TTS Streaming or call Standard //
//##########################################//
async generateTts(inputText, voiceId) {
try {
if (this.settings.at_generation_method === 'streaming_enabled') {
// Construct the streaming URL
const streamingUrl = `${this.settings.provider_endpoint}/api/tts-generate-streaming?text=${encodeURIComponent(inputText)}&voice=${encodeURIComponent(voiceId)}.wav&language=${encodeURIComponent(this.settings.language)}&output_file=stream_output.wav`;
console.log("Streaming URL:", streamingUrl);
// Return the streaming URL directly
return streamingUrl;
} else {
// For standard method
const outputUrl = await this.fetchTtsGeneration(inputText, voiceId);
const audioResponse = await fetch(outputUrl);
if (!audioResponse.ok) {
throw new Error(`HTTP ${audioResponse.status}: Failed to fetch audio data`);
}
return audioResponse; // Return the fetch response directly
}
} catch (error) {
console.error("Error in generateTts:", error);
throw error;
}
}
//####################//
// Generate Standard //
//####################//
async fetchTtsGeneration(inputText, voiceId) {
// Prepare the request payload
const requestBody = new URLSearchParams({
'text_input': inputText,
'text_filtering': "standard",
'character_voice_gen': voiceId + ".wav",
'narrator_enabled': this.settings.narrator_enabled,
'narrator_voice_gen': this.settings.narrator_voice_gen + ".wav",
'text_not_inside': this.settings.at_narrator_text_not_inside,
'language': this.settings.language,
'output_file_name': "st_output",
'output_file_timestamp': "true",
'autoplay': "false",
'autoplay_volume': "0.8"
}).toString();
try {
const response = await doExtrasFetch(
`${this.settings.provider_endpoint}/api/tts-generate`,
{
method: 'POST',
headers: {
'Content-Type': 'application/x-www-form-urlencoded',
'Cache-Control': 'no-cache',
},
body: requestBody
}
);
if (!response.ok) {
const errorText = await response.text();
console.error(`[fetchTtsGeneration] Error Response Text:`, errorText);
// toastr.error(response.statusText, 'TTS Generation Failed');
throw new Error(`HTTP ${response.status}: ${errorText}`);
}
const data = await response.json();
const outputUrl = data.output_file_url;
return outputUrl; // Return only the output_file_url
} catch (error) {
console.error("[fetchTtsGeneration] Exception caught:", error);
throw error; // Rethrow the error for further handling
}
}
}
//#########################//
// Update Status Messages //
//#########################//
function updateStatus(message) {
const statusElement = document.getElementById('status_info');
if (statusElement) {
statusElement.textContent = message;
switch (message) {
case 'Offline':
statusElement.style.color = 'red';
break;
case 'Ready':
statusElement.style.color = 'lightgreen';
break;
case 'Processing':
statusElement.style.color = 'blue';
break;
case 'Error':
statusElement.style.color = 'red';
break;
}
}
}
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#tts_media_control {
/* order: 100; */
/* width: 40px;
height: 40px;
margin: 0;
padding: 1px; */
outline: none;
border: none;
cursor: pointer;
/* transition: 0.3s;
opacity: 0.7; */
display: flex;
align-items: center;
/* justify-content: center; */
}
#ttsExtensionMenuItem {
transition: 0.3s;
opacity: 0.7;
}
#ttsExtensionMenuItem:hover {
opacity: 1;
filter: brightness(1.2);
}
#tts_media_control:hover {
opacity: 1;
filter: brightness(1.2);
}
.voice_preview {
margin: 0.25rem 0.5rem;
display: flex;
justify-content: space-between;
align-items: center;
gap: 0.5rem;
}
.voice_preview .voice_name {
text-align: left;
flex: 1;
}
.voice_preview .voice_lang {
width: 4rem;
text-align: left;
}
.voice_preview .fa-play {
cursor: pointer;
}
.tts-button {
margin: 0;
outline: none;
border: none;
cursor: pointer;
transition: 0.3s;
opacity: 0.7;
align-items: center;
justify-content: center;
}
.tts-button:hover {
opacity: 1;
}
.tts_block {
display: flex;
align-items: baseline;
column-gap: 5px;
flex-wrap: wrap;
}
.tts_custom_voices {
display: flex;
align-items: baseline;
gap: 5px;
}
.novel_tts_hints {
font-size: calc(0.9 * var(--mainFontSize));
display: flex;
flex-direction: column;
gap: 5px;
margin-bottom: 5px;
}
.at-settings-row {
display: flex;
justify-content: space-between;
align-items: center;
width: 100%;
}
.at-settings-option {
flex: 1;
margin: 0 10px;
}
.at-endpoint-option {
flex: 1;
margin: 0 10px;
margin-right: 25px;
width: 38%;
}
.at-website-row {
display: flex;
justify-content: start;
align-items: center;
margin-top: 10px;
margin-bottom: 10px;
}
.at-website-option {
flex: 1;
margin-right: 10px;
margin-left: 10px;
}
.at-settings-separator {
margin-top: 10px;
margin-bottom: 10px;
padding: 18x;
font-weight: bold;
border-top: 1px solid #e1e1e1; /* Grey line */
border-bottom: 1px solid #e1e1e1; /* Grey line */
text-align: center;
}
.at-status-message {
flex: 1;
margin: 0 10px;
}
.at-model-endpoint-row {
display: flex;
justify-content: space-between;
align-items: center;
width: 100%;
}
.at-model-option, .endpoint-option {
flex: 1;
margin: 0 10px;
margin-left: 10px;
}
.at-endpoint-option {
width: 38%;
}
#at-status_info {
color: lightgreen;
}
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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AllTalk Startup Settings</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 5px;
padding: 5px;
background-color: #f4f4f4;
}
h1 {
color: #333;
margin-bottom: 10px;
}
h1,
h2,
h3 {
text-decoration: underline;
margin-bottom: 10px;
}
form {
max-width: 975px;
margin: 0 auto;
display: grid;
grid-template-columns: repeat(4, 1fr);
gap: 5px;
/* Adjusted the gap to create more space */
justify-content: start;
}
.radio-group {
grid-column: span 2;
/* Span both columns */
display: grid;
grid-template-columns: repeat(2, 1fr);
gap: 10px;
}
label {
display: block;
margin-top: 2px;
color: #555;
}
select,
input,
button {
width: 100%;
padding: 3px;
margin-top: 1px;
margin-bottom: 3px;
box-sizing: border-box;
font-size: 11px;
}
button {
background-color: #4caf50;
color: white;
border: none;
padding: 5px;
cursor: pointer;
font-size: 12px;
grid-column: span 4;
}
.warning {
grid-column: span 4;
/* Span all 4 columns */
text-align: center;
/* Center-align the text */
color: red;
/* Adjusted color for emphasis */
font-weight: bold;
/* Make the text bold */
margin-top: 10px;
/* Add some space between the button and the warning */
}
</style>
</head>
<body>
<h3>AllTalk Startup Settings</h3><br>
<form action="/update-settings" method="post">
<label for="activate" style="color: #33cc33;">Activate TTS:</label>
<select id="activate" name="activate" required="">
<option {% if data.activate %}selected{% endif %} value="true">True</option>
<option {% if not data.activate %}selected{% endif %} value="false">False</option>
</select>
<label for="autoplay" style="color: #33cc33;">&nbsp; &nbsp; Autoplay TTS output:</label>
<select id="autoplay" name="autoplay" required="">
<option {% if data.autoplay %}selected{% endif %} value="true">True</option>
<option {% if not data.autoplay %}selected{% endif %} value="false">False</option>
</select>
<label for="show_text" style="color: #33cc33;"> Show Text on generation:</label>
<select id="show_text" name="show_text" required="">
<option {% if data.show_text %}selected{% endif %} value="true">True</option>
<option {% if not data.show_text %}selected{% endif %} value="false">False</option>
</select>
<label for="voice" style="color: #33cc33;">&nbsp; &nbsp; Default voice:</label>
<select id="voice" name="voice" required="">
{% for file in wav_files %}
<option value="{{ file }}" {% if data.voice==file %}selected{% endif %}>{{ file }}</option>
{% endfor %}
</select>
<label for="language" style="color: #33cc33;">Default Language:</label>
<select id="language" name="language" required="">
<option value="Arabic" {% if data.language=='Arabic' %}selected{% endif %}>Arabic</option>
<option value="Chinese" {% if data.language=='Chinese' %}selected{% endif %}>Chinese</option>
<option value="Czech" {% if data.language=='Czech' %}selected{% endif %}>Czech</option>
<option value="Dutch" {% if data.language=='Dutch' %}selected{% endif %}>Dutch</option>
<option value="English" {% if data.language=='English' %}selected{% endif %}>English</option>
<option value="French" {% if data.language=='French' %}selected{% endif %}>French</option>
<option value="German" {% if data.language=='German' %}selected{% endif %}>German</option>
<option value="Hungarian" {% if data.language=='Hungarian' %}selected{% endif %}>Hungarian</option>
<option value="Italian" {% if data.language=='Italian' %}selected{% endif %}>Italian</option>
<option value="Japanese" {% if data.language=='Japanese' %}selected{% endif %}>Japanese</option>
<option value="Korean" {% if data.language=='Korean' %}selected{% endif %}>Korean</option>
<option value="Polish" {% if data.language=='Polish' %}selected{% endif %}>Polish</option>
<option value="Portuguese" {% if data.language=='Portuguese' %}selected{% endif %}>Portuguese</option>
<option value="Russian" {% if data.language=='Russian' %}selected{% endif %}>Russian</option>
<option value="Spanish" {% if data.language=='Spanish' %}selected{% endif %}>Spanish</option>
<option value="Turkish" {% if data.language=='Turkish' %}selected{% endif %}>Turkish</option>
</select>
<label for="narrator_voice" style="color: #33cc33;">&nbsp; &nbsp; Narrator voice:</label>
<select id="narrator_voice" name="narrator_voice" required="">
{% for file in wav_files %}
<option value="{{ file }}" {% if data.narrator_voice==file %}selected{% endif %}>{{ file }}</option>
{% endfor %}
</select>
<label for="remove_trailing_dots" style="color: #33cc33;"> Remove Trailing Dots:</label>
<select id="remove_trailing_dots" name="remove_trailing_dots" required="">
<option {% if data.remove_trailing_dots %}selected{% endif %} value="true">True</option>
<option {% if not data.remove_trailing_dots %}selected{% endif %} value="false">False</option>
</select>
<label for="narrator_enabled" style="color: #33cc33;">&nbsp; &nbsp; Narrator enabled:</label>
<select id="narrator_enabled" name="narrator_enabled" required="">
<option {% if data.narrator_enabled %}selected{% endif %} value="true">True</option>
<option {% if not data.narrator_enabled %}selected{% endif %} value="false">False</option>
</select>
<label for="delete_output_wavs" style="color: #33cc33;">Del WAV's older than:</label>
<select id="delete_output_wavs" name="delete_output_wavs" required="">
<option value="Disabled" {% if data.delete_output_wavs=='Disabled' %}selected{% endif %}>Disabled</option>
<option value="1 Day" {% if data.delete_output_wavs=='1 Day' %}selected{% endif %}>1 Day</option>
<option value="2 Days" {% if data.delete_output_wavs=='2 Days' %}selected{% endif %}>2 Days</option>
<option value="3 Days" {% if data.delete_output_wavs=='3 Days' %}selected{% endif %}>3 Days</option>
<option value="4 Day" {% if data.delete_output_wavs=='4 Days' %}selected{% endif %}>4 Days</option>
<option value="5 Day" {% if data.delete_output_wavs=='5 Days' %}selected{% endif %}>5 Days</option>
<option value="6 Day" {% if data.delete_output_wavs=='6 Days' %}selected{% endif %}>6 Days</option>
<option value="7 Days" {% if data.delete_output_wavs=='7 Days' %}selected{% endif %}>7 Days</option>
<option value="14 Days" {% if data.delete_output_wavs=='14 Days' %}selected{% endif %}>14 Days</option>
<option value="21 Days" {% if data.delete_output_wavs=='21 Days' %}selected{% endif %}>21 Days</option>
<option value="28 Days" {% if data.delete_output_wavs=='28 Days' %}selected{% endif %}>28 Days</option>
</select>
<label for="low_vram" style="color: #33cc33;">&nbsp; &nbsp; Low VRAM:</label>
<select id="low_vram" name="low_vram" required="">
<option {% if data.low_vram %}selected{% endif %} value="true">True</option>
<option {% if not data.low_vram %}selected{% endif %} value="false">False</option>
</select>
<label for="local_temperature" style="color: red;">Local Model temperature:</label>
<select id="local_temperature" name="local_temperature" required="">
{% for temp in range(0, 101, 5) %}
<option value="{{ temp/100 }}" {% if data.local_temperature|float == temp/100 %}selected{% endif %}>{{ "{:.2f}".format(temp/100) }}</option>
{% endfor %}
</select>
<label for="local_repetition_penalty" style="color: red;">&nbsp; &nbsp; Local Model repetition penalty:</label>
<select id="local_repetition_penalty" name="local_repetition_penalty" required="">
{% for repetition in range(10, 210, 10) %}
<option value="{{ repetition/10 }}" {% if data.local_repetition_penalty|float == repetition/10 %}selected{% endif %}>{{ repetition/10 }}</option>
{% endfor %}
</select>
<label for="deepspeed_activate" style="color: red;">DeepSpeed Activate:</label>
<select id="deepspeed_activate" name="deepspeed_activate" required="">
<option {% if data.deepspeed_activate %}selected{% endif %} value="true">True</option>
<option {% if not data.deepspeed_activate %}selected{% endif %} value="false">False</option>
</select>
<label for="output_folder_wav" style="color: red;">&nbsp; &nbsp; WAV Output Folder:</label>
<input id="output_folder_wav" name="output_folder_wav" required="" type="text"
value="{{ data.output_folder_wav }}" />
<input type="hidden" id="tts_model_loaded" name="tts_model_loaded" value="{{ data.tts_model_loaded }}" />
<!-- Continue updating other dropdowns and inputs in a similar manner -->
<label for="tts_model_name" style="color: red;"> API TTS Model Name:</label>
<input id="tts_model_name" name="tts_model_name" required="" type="text" value="{{ data.tts_model_name }}" />
<label for="model_version"
style="color: red; font-size: 16px; line-height: 1; vertical-align: bottom; margin-bottom: 0;">&nbsp;
&nbsp;&nbsp;API Local Model Folder:</label>
<span style="font-size: 14px; vertical-align: bottom; margin-bottom: 0; margin-top: 2px;">{{
modeldownload_model_path }}</span>
<label for="ip_address" style="color: red;"> IP Address:</label>
<input id="ip_address" name="ip_address" required="" type="text" value="{{ data.ip_address }}" />
<label for="port_number" style="color: red;"> &nbsp; &nbsp; Port Number:</label>
<input id="port_number" name="port_number" required="" type="text" value="{{ data.port_number }}" />
<div class="radio-group">
<label for="tts_method_api_local" style="color: #33cc33;">Model: <span
style="color: black; font-weight: normal;">API Local</span>:</label>
<input id="tts_method_api_local_true" {% if data.tts_method_api_local %}checked{% endif %} name="tts_method"
type="radio" value="api_local" />
</div>
<div class="radio-group">
<label for="tts_method_api_tts" style="color: #33cc33;">&nbsp; &nbsp;&nbsp;Model: <span
style="color: black; font-weight: normal;">API TTS</span>:</label>
<input id="tts_method_api_tts_true" {% if data.tts_method_api_tts %}checked{% endif %} name="tts_method"
type="radio" value="api_tts" />
</div>
<div class="radio-group">
<label for="tts_method_xtts_local" style="color: #33cc33;">Model: <span
style="color: black; font-weight: normal;">XTTS Local</span>:</label>
<input id="tts_method_xtts_local_true" {% if data.tts_method_xtts_local %}checked{% endif %}
name="tts_method" type="radio" value="xtts_local" />
</div>
<button type="submit">Update Settings</button>
</form>
<p class="warning">WARNING: Changing RED items or setting DeepSpeed to True on a system without DeepSpeed installed,
may cause errors.</p>
</body>
</html>
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import os
import re
import textwrap
from functools import cached_property
import pypinyin
import torch
from hangul_romanize import Transliter
from hangul_romanize.rule import academic
from num2words import num2words
from spacy.lang.ar import Arabic
from spacy.lang.en import English
from spacy.lang.es import Spanish
from spacy.lang.ja import Japanese
from spacy.lang.zh import Chinese
from tokenizers import Tokenizer
from TTS.tts.layers.xtts.zh_num2words import TextNorm as zh_num2words
def get_spacy_lang(lang):
if lang == "zh":
return Chinese()
elif lang == "ja":
return Japanese()
elif lang == "ar":
return Arabic()
elif lang == "es":
return Spanish()
else:
# For most languages, Enlish does the job
return English()
def split_sentence(text, lang, text_split_length=250):
"""Preprocess the input text"""
text_splits = []
if text_split_length is not None and len(text) >= text_split_length:
text_splits.append("")
nlp = get_spacy_lang(lang)
nlp.add_pipe("sentencizer")
doc = nlp(text)
for sentence in doc.sents:
if len(text_splits[-1]) + len(str(sentence)) <= text_split_length:
# if the last sentence + the current sentence is less than the text_split_length
# then add the current sentence to the last sentence
text_splits[-1] += " " + str(sentence)
text_splits[-1] = text_splits[-1].lstrip()
elif len(str(sentence)) > text_split_length:
# if the current sentence is greater than the text_split_length
for line in textwrap.wrap(
str(sentence),
width=text_split_length,
drop_whitespace=True,
break_on_hyphens=False,
tabsize=1,
):
text_splits.append(str(line))
else:
text_splits.append(str(sentence))
if len(text_splits) > 1:
if text_splits[0] == "":
del text_splits[0]
else:
text_splits = [text.lstrip()]
return text_splits
_whitespace_re = re.compile(r"\s+")
# List of (regular expression, replacement) pairs for abbreviations:
_abbreviations = {
"en": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("mrs", "misess"),
("mr", "mister"),
("dr", "doctor"),
("st", "saint"),
("co", "company"),
("jr", "junior"),
("maj", "major"),
("gen", "general"),
("drs", "doctors"),
("rev", "reverend"),
("lt", "lieutenant"),
("hon", "honorable"),
("sgt", "sergeant"),
("capt", "captain"),
("esq", "esquire"),
("ltd", "limited"),
("col", "colonel"),
("ft", "fort"),
]
],
"es": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("sra", "señora"),
("sr", "señor"),
("dr", "doctor"),
("dra", "doctora"),
("st", "santo"),
("co", "compañía"),
("jr", "junior"),
("ltd", "limitada"),
]
],
"fr": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("mme", "madame"),
("mr", "monsieur"),
("dr", "docteur"),
("st", "saint"),
("co", "compagnie"),
("jr", "junior"),
("ltd", "limitée"),
]
],
"de": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("fr", "frau"),
("dr", "doktor"),
("st", "sankt"),
("co", "firma"),
("jr", "junior"),
]
],
"pt": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("sra", "senhora"),
("sr", "senhor"),
("dr", "doutor"),
("dra", "doutora"),
("st", "santo"),
("co", "companhia"),
("jr", "júnior"),
("ltd", "limitada"),
]
],
"it": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
# ("sig.ra", "signora"),
("sig", "signore"),
("dr", "dottore"),
("st", "santo"),
("co", "compagnia"),
("jr", "junior"),
("ltd", "limitata"),
]
],
"pl": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("p", "pani"),
("m", "pan"),
("dr", "doktor"),
("sw", "święty"),
("jr", "junior"),
]
],
"ar": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
# There are not many common abbreviations in Arabic as in English.
]
],
"zh": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
# Chinese doesn't typically use abbreviations in the same way as Latin-based scripts.
]
],
"cs": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("dr", "doktor"), # doctor
("ing", "inženýr"), # engineer
("p", "pan"), # Could also map to pani for woman but no easy way to do it
# Other abbreviations would be specialized and not as common.
]
],
"ru": [
(re.compile("\\b%s\\b" % x[0], re.IGNORECASE), x[1])
for x in [
("г-жа", "госпожа"), # Mrs.
("г-н", "господин"), # Mr.
("д-р", "доктор"), # doctor
# Other abbreviations are less common or specialized.
]
],
"nl": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("dhr", "de heer"), # Mr.
("mevr", "mevrouw"), # Mrs.
("dr", "dokter"), # doctor
("jhr", "jonkheer"), # young lord or nobleman
# Dutch uses more abbreviations, but these are the most common ones.
]
],
"tr": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("b", "bay"), # Mr.
("byk", "büyük"), # büyük
("dr", "doktor"), # doctor
# Add other Turkish abbreviations here if needed.
]
],
"hu": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
("dr", "doktor"), # doctor
("b", "bácsi"), # Mr.
("nőv", "nővér"), # nurse
# Add other Hungarian abbreviations here if needed.
]
],
"ko": [
(re.compile("\\b%s\\." % x[0], re.IGNORECASE), x[1])
for x in [
# Korean doesn't typically use abbreviations in the same way as Latin-based scripts.
]
],
"ja": [
(re.compile("\\b%s\\b" % x[0]), x[1])
for x in [
("氏", "さん"), # Mr.
("夫人", "おんなのひと"), # Mrs.
("博士", "はかせ"), # Doctor or PhD
("株", "株式会社"), # Corporation
("有", "有限会社"), # Limited company
("大学", "だいがく"), # University
("先生", "せんせい"), # Teacher/Professor/Master
("君", "くん") # Used at the end of boys' names to express familiarity or affection.
]
],
}
def expand_abbreviations_multilingual(text, lang="en"):
for regex, replacement in _abbreviations[lang]:
text = re.sub(regex, replacement, text)
return text
_symbols_multilingual = {
"en": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " and "),
("@", " at "),
("%", " percent "),
("#", " hash "),
("$", " dollar "),
("£", " pound "),
("°", " degree "),
]
],
"es": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " y "),
("@", " arroba "),
("%", " por ciento "),
("#", " numeral "),
("$", " dolar "),
("£", " libra "),
("°", " grados "),
]
],
"fr": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " et "),
("@", " arobase "),
("%", " pour cent "),
("#", " dièse "),
("$", " dollar "),
("£", " livre "),
("°", " degrés "),
]
],
"de": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " und "),
("@", " at "),
("%", " prozent "),
("#", " raute "),
("$", " dollar "),
("£", " pfund "),
("°", " grad "),
]
],
"pt": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " e "),
("@", " arroba "),
("%", " por cento "),
("#", " cardinal "),
("$", " dólar "),
("£", " libra "),
("°", " graus "),
]
],
"it": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " e "),
("@", " chiocciola "),
("%", " per cento "),
("#", " cancelletto "),
("$", " dollaro "),
("£", " sterlina "),
("°", " gradi "),
]
],
"pl": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " i "),
("@", " małpa "),
("%", " procent "),
("#", " krzyżyk "),
("$", " dolar "),
("£", " funt "),
("°", " stopnie "),
]
],
"ar": [
# Arabic
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " و "),
("@", " على "),
("%", " في المئة "),
("#", " رقم "),
("$", " دولار "),
("£", " جنيه "),
("°", " درجة "),
]
],
"zh": [
# Chinese
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " 和 "),
("@", " 在 "),
("%", " 百分之 "),
("#", " 号 "),
("$", " 美元 "),
("£", " 英镑 "),
("°", " 度 "),
]
],
"cs": [
# Czech
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " a "),
("@", " na "),
("%", " procento "),
("#", " křížek "),
("$", " dolar "),
("£", " libra "),
("°", " stupně "),
]
],
"ru": [
# Russian
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " и "),
("@", " собака "),
("%", " процентов "),
("#", " номер "),
("$", " доллар "),
("£", " фунт "),
("°", " градус "),
]
],
"nl": [
# Dutch
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " en "),
("@", " bij "),
("%", " procent "),
("#", " hekje "),
("$", " dollar "),
("£", " pond "),
("°", " graden "),
]
],
"tr": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " ve "),
("@", " at "),
("%", " yüzde "),
("#", " diyez "),
("$", " dolar "),
("£", " sterlin "),
("°", " derece "),
]
],
"hu": [
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " és "),
("@", " kukac "),
("%", " százalék "),
("#", " kettőskereszt "),
("$", " dollár "),
("£", " font "),
("°", " fok "),
]
],
"ko": [
# Korean
(re.compile(r"%s" % re.escape(x[0]), re.IGNORECASE), x[1])
for x in [
("&", " 그리고 "),
("@", " 에 "),
("%", " 퍼센트 "),
("#", " 번호 "),
("$", " 달러 "),
("£", " 파운드 "),
("°", " 도 "),
]
],
"ja": [
(re.compile(r"%s" % re.escape(x[0])), x[1])
for x in [
("&", " と "),
("@", " アットマーク "),
("%", " パーセント "),
("#", " ナンバー "),
("$", " ドル "),
("£", " ポンド "),
("°", " 度"),
]
],
}
def expand_symbols_multilingual(text, lang="en"):
for regex, replacement in _symbols_multilingual[lang]:
text = re.sub(regex, replacement, text)
text = text.replace(" ", " ") # Ensure there are no double spaces
return text.strip()
_ordinal_re = {
"en": re.compile(r"([0-9]+)(st|nd|rd|th)"),
"es": re.compile(r"([0-9]+)(º|ª|er|o|a|os|as)"),
"fr": re.compile(r"([0-9]+)(º|ª|er|re|e|ème)"),
"de": re.compile(r"([0-9]+)(st|nd|rd|th|º|ª|\.(?=\s|$))"),
"pt": re.compile(r"([0-9]+)(º|ª|o|a|os|as)"),
"it": re.compile(r"([0-9]+)(º|°|ª|o|a|i|e)"),
"pl": re.compile(r"([0-9]+)(º|ª|st|nd|rd|th)"),
"ar": re.compile(r"([0-9]+)(ون|ين|ث|ر|ى)"),
"cs": re.compile(r"([0-9]+)\.(?=\s|$)"), # In Czech, a dot is often used after the number to indicate ordinals.
"ru": re.compile(r"([0-9]+)(-й|-я|-е|-ое|-ье|-го)"),
"nl": re.compile(r"([0-9]+)(de|ste|e)"),
"tr": re.compile(r"([0-9]+)(\.|inci|nci|uncu|üncü|\.)"),
"hu": re.compile(r"([0-9]+)(\.|adik|edik|odik|edik|ödik|ödike|ik)"),
"ko": re.compile(r"([0-9]+)(번째|번|차|째)"),
"ja": re.compile(r"([0-9]+)(番|回|つ|目|等|位)")
}
_number_re = re.compile(r"[0-9]+")
_currency_re = {
"USD": re.compile(r"((\$[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+\$))"),
"GBP": re.compile(r"((£[0-9\.\,]*[0-9]+)|([0-9\.\,]*[0-9]+£))"),
"EUR": re.compile(r"(([0-9\.\,]*[0-9]+€)|((€[0-9\.\,]*[0-9]+)))"),
}
_comma_number_re = re.compile(r"\b\d{1,3}(,\d{3})*(\.\d+)?\b")
_dot_number_re = re.compile(r"\b\d{1,3}(.\d{3})*(\,\d+)?\b")
_decimal_number_re = re.compile(r"([0-9]+[.,][0-9]+)")
def _remove_commas(m):
text = m.group(0)
if "," in text:
text = text.replace(",", "")
return text
def _remove_dots(m):
text = m.group(0)
if "." in text:
text = text.replace(".", "")
return text
def _expand_decimal_point(m, lang="en"):
amount = m.group(1).replace(",", ".")
return num2words(float(amount), lang=lang if lang != "cs" else "cz")
def _expand_currency(m, lang="en", currency="USD"):
amount = float((re.sub(r"[^\d.]", "", m.group(0).replace(",", "."))))
full_amount = num2words(amount, to="currency", currency=currency, lang=lang if lang != "cs" else "cz")
and_equivalents = {
"en": ", ",
"es": " con ",
"fr": " et ",
"de": " und ",
"pt": " e ",
"it": " e ",
"pl": ", ",
"cs": ", ",
"ru": ", ",
"nl": ", ",
"ar": ", ",
"tr": ", ",
"hu": ", ",
"ko": ", ",
}
if amount.is_integer():
last_and = full_amount.rfind(and_equivalents[lang])
if last_and != -1:
full_amount = full_amount[:last_and]
return full_amount
def _expand_ordinal(m, lang="en"):
return num2words(int(m.group(1)), ordinal=True, lang=lang if lang != "cs" else "cz")
def _expand_number(m, lang="en"):
return num2words(int(m.group(0)), lang=lang if lang != "cs" else "cz")
def expand_numbers_multilingual(text, lang="en"):
if lang == "zh":
text = zh_num2words()(text)
else:
if lang in ["en", "ru"]:
text = re.sub(_comma_number_re, _remove_commas, text)
else:
text = re.sub(_dot_number_re, _remove_dots, text)
try:
text = re.sub(_currency_re["GBP"], lambda m: _expand_currency(m, lang, "GBP"), text)
text = re.sub(_currency_re["USD"], lambda m: _expand_currency(m, lang, "USD"), text)
text = re.sub(_currency_re["EUR"], lambda m: _expand_currency(m, lang, "EUR"), text)
except:
pass
if lang != "tr":
text = re.sub(_decimal_number_re, lambda m: _expand_decimal_point(m, lang), text)
text = re.sub(_ordinal_re[lang], lambda m: _expand_ordinal(m, lang), text)
text = re.sub(_number_re, lambda m: _expand_number(m, lang), text)
return text
def lowercase(text):
return text.lower()
def collapse_whitespace(text):
return re.sub(_whitespace_re, " ", text)
def multilingual_cleaners(text, lang):
text = text.replace('"', "")
if lang == "tr":
text = text.replace("İ", "i")
text = text.replace("Ö", "ö")
text = text.replace("Ü", "ü")
text = lowercase(text)
text = expand_numbers_multilingual(text, lang)
text = expand_abbreviations_multilingual(text, lang)
text = expand_symbols_multilingual(text, lang=lang)
text = collapse_whitespace(text)
return text
def basic_cleaners(text):
"""Basic pipeline that lowercases and collapses whitespace without transliteration."""
text = lowercase(text)
text = collapse_whitespace(text)
return text
def chinese_transliterate(text):
return "".join(
[p[0] for p in pypinyin.pinyin(text, style=pypinyin.Style.TONE3, heteronym=False, neutral_tone_with_five=True)]
)
def japanese_cleaners(text, katsu):
text = katsu.romaji(text)
text = lowercase(text)
return text
def korean_transliterate(text):
r = Transliter(academic)
return r.translit(text)
DEFAULT_VOCAB_FILE = os.path.join(os.path.dirname(os.path.realpath(__file__)), "../data/tokenizer.json")
class VoiceBpeTokenizer:
def __init__(self, vocab_file=None):
self.tokenizer = None
if vocab_file is not None:
self.tokenizer = Tokenizer.from_file(vocab_file)
self.char_limits = {
"en": 250,
"de": 253,
"fr": 273,
"es": 239,
"it": 213,
"pt": 203,
"pl": 224,
"zh": 82,
"ar": 166,
"cs": 186,
"ru": 182,
"nl": 251,
"tr": 226,
"ja": 71,
"hu": 224,
"ko": 95,
}
@cached_property
def katsu(self):
import cutlet
return cutlet.Cutlet()
def check_input_length(self, txt, lang):
lang = lang.split("-")[0] # remove the region
limit = self.char_limits.get(lang, 250)
if len(txt) > limit:
print(
f"[!] Warning: The text length exceeds the character limit of {limit} for language '{lang}', this might cause truncated audio."
)
def preprocess_text(self, txt, lang):
if lang in {"ar", "cs", "de", "en", "es", "fr", "hu", "it", "nl", "pl", "pt", "ru", "tr", "zh", "ko"}:
txt = multilingual_cleaners(txt, lang)
if lang == "zh":
txt = chinese_transliterate(txt)
if lang == "ko":
txt = korean_transliterate(txt)
elif lang == "ja":
txt = japanese_cleaners(txt, self.katsu)
elif lang == "hi":
# @manmay will implement this
txt = basic_cleaners(txt)
else:
raise NotImplementedError(f"Language '{lang}' is not supported.")
return txt
def encode(self, txt, lang):
lang = lang.split("-")[0] # remove the region
self.check_input_length(txt, lang)
txt = self.preprocess_text(txt, lang)
lang = "zh-cn" if lang == "zh" else lang
txt = f"[{lang}]{txt}"
txt = txt.replace(" ", "[SPACE]")
return self.tokenizer.encode(txt).ids
def decode(self, seq):
if isinstance(seq, torch.Tensor):
seq = seq.cpu().numpy()
txt = self.tokenizer.decode(seq, skip_special_tokens=False).replace(" ", "")
txt = txt.replace("[SPACE]", " ")
txt = txt.replace("[STOP]", "")
txt = txt.replace("[UNK]", "")
return txt
def __len__(self):
return self.tokenizer.get_vocab_size()
def get_number_tokens(self):
return max(self.tokenizer.get_vocab().values()) + 1
def test_expand_numbers_multilingual():
test_cases = [
# English
("In 12.5 seconds.", "In twelve point five seconds.", "en"),
("There were 50 soldiers.", "There were fifty soldiers.", "en"),
("This is a 1st test", "This is a first test", "en"),
("That will be $20 sir.", "That will be twenty dollars sir.", "en"),
("That will be 20€ sir.", "That will be twenty euro sir.", "en"),
("That will be 20.15€ sir.", "That will be twenty euro, fifteen cents sir.", "en"),
("That's 100,000.5.", "That's one hundred thousand point five.", "en"),
# French
("En 12,5 secondes.", "En douze virgule cinq secondes.", "fr"),
("Il y avait 50 soldats.", "Il y avait cinquante soldats.", "fr"),
("Ceci est un 1er test", "Ceci est un premier test", "fr"),
("Cela vous fera $20 monsieur.", "Cela vous fera vingt dollars monsieur.", "fr"),
("Cela vous fera 20€ monsieur.", "Cela vous fera vingt euros monsieur.", "fr"),
("Cela vous fera 20,15€ monsieur.", "Cela vous fera vingt euros et quinze centimes monsieur.", "fr"),
("Ce sera 100.000,5.", "Ce sera cent mille virgule cinq.", "fr"),
# German
("In 12,5 Sekunden.", "In zwölf Komma fünf Sekunden.", "de"),
("Es gab 50 Soldaten.", "Es gab fünfzig Soldaten.", "de"),
("Dies ist ein 1. Test", "Dies ist ein erste Test", "de"), # Issue with gender
("Das macht $20 Herr.", "Das macht zwanzig Dollar Herr.", "de"),
("Das macht 20€ Herr.", "Das macht zwanzig Euro Herr.", "de"),
("Das macht 20,15€ Herr.", "Das macht zwanzig Euro und fünfzehn Cent Herr.", "de"),
# Spanish
("En 12,5 segundos.", "En doce punto cinco segundos.", "es"),
("Había 50 soldados.", "Había cincuenta soldados.", "es"),
("Este es un 1er test", "Este es un primero test", "es"),
("Eso le costará $20 señor.", "Eso le costará veinte dólares señor.", "es"),
("Eso le costará 20€ señor.", "Eso le costará veinte euros señor.", "es"),
("Eso le costará 20,15€ señor.", "Eso le costará veinte euros con quince céntimos señor.", "es"),
# Italian
("In 12,5 secondi.", "In dodici virgola cinque secondi.", "it"),
("C'erano 50 soldati.", "C'erano cinquanta soldati.", "it"),
("Questo è un 1° test", "Questo è un primo test", "it"),
("Ti costerà $20 signore.", "Ti costerà venti dollari signore.", "it"),
("Ti costerà 20€ signore.", "Ti costerà venti euro signore.", "it"),
("Ti costerà 20,15€ signore.", "Ti costerà venti euro e quindici centesimi signore.", "it"),
# Portuguese
("Em 12,5 segundos.", "Em doze vírgula cinco segundos.", "pt"),
("Havia 50 soldados.", "Havia cinquenta soldados.", "pt"),
("Este é um 1º teste", "Este é um primeiro teste", "pt"),
("Isso custará $20 senhor.", "Isso custará vinte dólares senhor.", "pt"),
("Isso custará 20€ senhor.", "Isso custará vinte euros senhor.", "pt"),
(
"Isso custará 20,15€ senhor.",
"Isso custará vinte euros e quinze cêntimos senhor.",
"pt",
), # "cêntimos" should be "centavos" num2words issue
# Polish
("W 12,5 sekundy.", "W dwanaście przecinek pięć sekundy.", "pl"),
("Było 50 żołnierzy.", "Było pięćdziesiąt żołnierzy.", "pl"),
("To będzie kosztować 20€ panie.", "To będzie kosztować dwadzieścia euro panie.", "pl"),
("To będzie kosztować 20,15€ panie.", "To będzie kosztować dwadzieścia euro, piętnaście centów panie.", "pl"),
# Arabic
("في الـ 12,5 ثانية.", "في الـ اثنا عشر , خمسون ثانية.", "ar"),
("كان هناك 50 جنديًا.", "كان هناك خمسون جنديًا.", "ar"),
# ("ستكون النتيجة $20 يا سيد.", 'ستكون النتيجة عشرون دولار يا سيد.', 'ar'), # $ and € are mising from num2words
# ("ستكون النتيجة 20€ يا سيد.", 'ستكون النتيجة عشرون يورو يا سيد.', 'ar'),
# Czech
("Za 12,5 vteřiny.", "Za dvanáct celá pět vteřiny.", "cs"),
("Bylo tam 50 vojáků.", "Bylo tam padesát vojáků.", "cs"),
("To bude stát 20€ pane.", "To bude stát dvacet euro pane.", "cs"),
("To bude 20.15€ pane.", "To bude dvacet euro, patnáct centů pane.", "cs"),
# Russian
("Через 12.5 секунды.", "Через двенадцать запятая пять секунды.", "ru"),
("Там было 50 солдат.", "Там было пятьдесят солдат.", "ru"),
("Это будет 20.15€ сэр.", "Это будет двадцать евро, пятнадцать центов сэр.", "ru"),
("Это будет стоить 20€ господин.", "Это будет стоить двадцать евро господин.", "ru"),
# Dutch
("In 12,5 seconden.", "In twaalf komma vijf seconden.", "nl"),
("Er waren 50 soldaten.", "Er waren vijftig soldaten.", "nl"),
("Dat wordt dan $20 meneer.", "Dat wordt dan twintig dollar meneer.", "nl"),
("Dat wordt dan 20€ meneer.", "Dat wordt dan twintig euro meneer.", "nl"),
# Chinese (Simplified)
("在12.5秒内", "在十二点五秒内", "zh"),
("有50名士兵", "有五十名士兵", "zh"),
# ("那将是$20先生", '那将是二十美元先生', 'zh'), currency doesn't work
# ("那将是20€先生", '那将是二十欧元先生', 'zh'),
# Turkish
# ("12,5 saniye içinde.", 'On iki virgül beş saniye içinde.', 'tr'), # decimal doesn't work for TR
("50 asker vardı.", "elli asker vardı.", "tr"),
("Bu 1. test", "Bu birinci test", "tr"),
# ("Bu 100.000,5.", 'Bu yüz bin virgül beş.', 'tr'),
# Hungarian
("12,5 másodperc alatt.", "tizenkettő egész öt tized másodperc alatt.", "hu"),
("50 katona volt.", "ötven katona volt.", "hu"),
("Ez az 1. teszt", "Ez az első teszt", "hu"),
# Korean
("12.5 초 안에.", "십이 점 다섯 초 안에.", "ko"),
("50 명의 병사가 있었다.", "오십 명의 병사가 있었다.", "ko"),
("이것은 1 번째 테스트입니다", "이것은 첫 번째 테스트입니다", "ko"),
]
for a, b, lang in test_cases:
out = expand_numbers_multilingual(a, lang=lang)
assert out == b, f"'{out}' vs '{b}'"
def test_abbreviations_multilingual():
test_cases = [
# English
("Hello Mr. Smith.", "Hello mister Smith.", "en"),
("Dr. Jones is here.", "doctor Jones is here.", "en"),
# Spanish
("Hola Sr. Garcia.", "Hola señor Garcia.", "es"),
("La Dra. Martinez es muy buena.", "La doctora Martinez es muy buena.", "es"),
# French
("Bonjour Mr. Dupond.", "Bonjour monsieur Dupond.", "fr"),
("Mme. Moreau est absente aujourd'hui.", "madame Moreau est absente aujourd'hui.", "fr"),
# German
("Frau Dr. Müller ist sehr klug.", "Frau doktor Müller ist sehr klug.", "de"),
# Portuguese
("Olá Sr. Silva.", "Olá senhor Silva.", "pt"),
("Dra. Costa, você está disponível?", "doutora Costa, você está disponível?", "pt"),
# Italian
("Buongiorno, Sig. Rossi.", "Buongiorno, signore Rossi.", "it"),
# ("Sig.ra Bianchi, posso aiutarti?", 'signora Bianchi, posso aiutarti?', 'it'), # Issue with matching that pattern
# Polish
("Dzień dobry, P. Kowalski.", "Dzień dobry, pani Kowalski.", "pl"),
("M. Nowak, czy mogę zadać pytanie?", "pan Nowak, czy mogę zadać pytanie?", "pl"),
# Czech
("P. Novák", "pan Novák", "cs"),
("Dr. Vojtěch", "doktor Vojtěch", "cs"),
# Dutch
("Dhr. Jansen", "de heer Jansen", "nl"),
("Mevr. de Vries", "mevrouw de Vries", "nl"),
# Russian
("Здравствуйте Г-н Иванов.", "Здравствуйте господин Иванов.", "ru"),
("Д-р Смирнов здесь, чтобы увидеть вас.", "доктор Смирнов здесь, чтобы увидеть вас.", "ru"),
# Turkish
("Merhaba B. Yılmaz.", "Merhaba bay Yılmaz.", "tr"),
("Dr. Ayşe burada.", "doktor Ayşe burada.", "tr"),
# Hungarian
("Dr. Szabó itt van.", "doktor Szabó itt van.", "hu"),
]
for a, b, lang in test_cases:
out = expand_abbreviations_multilingual(a, lang=lang)
assert out == b, f"'{out}' vs '{b}'"
def test_symbols_multilingual():
test_cases = [
("I have 14% battery", "I have 14 percent battery", "en"),
("Te veo @ la fiesta", "Te veo arroba la fiesta", "es"),
("J'ai 14° de fièvre", "J'ai 14 degrés de fièvre", "fr"),
("Die Rechnung beträgt £ 20", "Die Rechnung beträgt pfund 20", "de"),
("O meu email é ana&joao@gmail.com", "O meu email é ana e joao arroba gmail.com", "pt"),
("linguaggio di programmazione C#", "linguaggio di programmazione C cancelletto", "it"),
("Moja temperatura to 36.6°", "Moja temperatura to 36.6 stopnie", "pl"),
("Mám 14% baterie", "Mám 14 procento baterie", "cs"),
("Těším se na tebe @ party", "Těším se na tebe na party", "cs"),
("У меня 14% заряда", "У меня 14 процентов заряда", "ru"),
("Я буду @ дома", "Я буду собака дома", "ru"),
("Ik heb 14% batterij", "Ik heb 14 procent batterij", "nl"),
("Ik zie je @ het feest", "Ik zie je bij het feest", "nl"),
("لدي 14% في البطارية", "لدي 14 في المئة في البطارية", "ar"),
("我的电量为 14%", "我的电量为 14 百分之", "zh"),
("Pilim %14 dolu.", "Pilim yüzde 14 dolu.", "tr"),
("Az akkumulátorom töltöttsége 14%", "Az akkumulátorom töltöttsége 14 százalék", "hu"),
("배터리 잔량이 14%입니다.", "배터리 잔량이 14 퍼센트입니다.", "ko"),
]
for a, b, lang in test_cases:
out = expand_symbols_multilingual(a, lang=lang)
assert out == b, f"'{out}' vs '{b}'"
if __name__ == "__main__":
test_expand_numbers_multilingual()
test_abbreviations_multilingual()
test_symbols_multilingual()
-179
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@@ -1,179 +0,0 @@
export interface CrunkerConstructorOptions {
/**
* Sample rate for Crunker's internal audio context.
*
* @default 44100
*/
sampleRate: number;
}
export type CrunkerInputTypes = string | File | Blob;
/**
* An exported Crunker audio object.
*/
export interface ExportedCrunkerAudio {
blob: Blob;
url: string;
element: HTMLAudioElement;
}
/**
* Crunker is the simple way to merge, concatenate, play, export and download audio files using the Web Audio API.
*/
export default class Crunker {
private readonly _sampleRate;
private readonly _context;
/**
* Creates a new instance of Crunker with the provided options.
*
* If `sampleRate` is not defined, it will auto-select an appropriate sample rate
* for the device being used.
*/
constructor({ sampleRate }?: Partial<CrunkerConstructorOptions>);
/**
* Creates Crunker's internal AudioContext.
*
* @internal
*/
private _createContext;
/**
*
* The internal AudioContext used by Crunker.
*/
get context(): AudioContext;
/**
* Asynchronously fetches multiple audio files and returns an array of AudioBuffers.
*/
fetchAudio(...filepaths: CrunkerInputTypes[]): Promise<AudioBuffer[]>;
/**
* Merges (layers) multiple AudioBuffers into a single AudioBuffer.
*
* **Visual representation:**
*
* ![](https://user-images.githubusercontent.com/12958674/88806278-968f0680-d186-11ea-9cb5-8ef2606ffcc7.png)
*/
mergeAudio(buffers: AudioBuffer[]): AudioBuffer;
/**
* Concatenates multiple AudioBuffers into a single AudioBuffer.
*
* **Visual representation:**
*
* ![](https://user-images.githubusercontent.com/12958674/88806297-9d1d7e00-d186-11ea-8cd2-c64cb0324845.png)
*/
concatAudio(buffers: AudioBuffer[]): AudioBuffer;
/**
* Pads a specified AudioBuffer with silence from a specified start time,
* for a specified length of time.
*
* Accepts float values as well as whole integers.
*
* @param buffer AudioBuffer to pad
* @param padStart Time to start padding (in seconds)
* @param seconds Duration to pad for (in seconds)
*/
padAudio(buffer: AudioBuffer, padStart?: number, seconds?: number): AudioBuffer;
/**
* Slices an AudioBuffer from the specified start time to the end time, with optional fade in and out.
*
* @param buffer AudioBuffer to slice
* @param start Start time (in seconds)
* @param end End time (in seconds)
* @param fadeIn Fade in duration (in seconds, default is 0)
* @param fadeOut Fade out duration (in seconds, default is 0)
*/
sliceAudio(buffer: AudioBuffer, start: number, end: number, fadeIn?: number, fadeOut?: number): AudioBuffer;
/**
* Plays the provided AudioBuffer in an AudioBufferSourceNode.
*/
play(buffer: AudioBuffer): AudioBufferSourceNode;
/**
* Exports the specified AudioBuffer to a Blob, Object URI and HTMLAudioElement.
*
* Note that changing the MIME type does not change the actual file format. The
* file format will **always** be a WAVE file due to how audio is stored in the
* browser.
*
* @param buffer Buffer to export
* @param type MIME type (default: `audio/wav`)
*/
export(buffer: AudioBuffer, type?: string): ExportedCrunkerAudio;
/**
* Downloads the provided Blob.
*
* @param blob Blob to download
* @param filename An optional file name to use for the download (default: `crunker`)
*/
download(blob: Blob, filename?: string): HTMLAnchorElement;
/**
* Executes a callback if the browser does not support the Web Audio API.
*
* Returns the result of the callback, or `undefined` if the Web Audio API is supported.
*
* @param callback callback to run if the browser does not support the Web Audio API
*/
notSupported<T>(callback: () => T): T | undefined;
/**
* Closes Crunker's internal AudioContext.
*/
close(): this;
/**
* Returns the largest duration of the longest AudioBuffer.
*
* @internal
*/
private _maxDuration;
/**
* Returns the largest number of channels in an array of AudioBuffers.
*
* @internal
*/
private _maxNumberOfChannels;
/**
* Returns the sum of the lengths of an array of AudioBuffers.
*
* @internal
*/
private _totalLength;
/**
* Returns whether the browser supports the Web Audio API.
*
* @internal
*/
private _isSupported;
/**
* Writes the WAV headers for the specified Float32Array.
*
* Returns a DataView containing the WAV headers and file content.
*
* @internal
*/
private _writeHeaders;
/**
* Converts a Float32Array to 16-bit PCM.
*
* @internal
*/
private _floatTo16BitPCM;
/**
* Writes a string to a DataView at the specified offset.
*
* @internal
*/
private _writeString;
/**
* Converts an AudioBuffer to a Float32Array.
*
* @internal
*/
private _interleave;
/**
* Creates an HTMLAudioElement whose source is the specified Blob.
*
* @internal
*/
private _renderAudioElement;
/**
* Creates an Object URL for the specified Blob.
*
* @internal
*/
private _renderURL;
}
@@ -1,2 +0,0 @@
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We'll try and continue anyway. (file: \"").concat(t,'")')),e.arrayBuffer()})),await e._context.decodeAudioData(n)})))}},{key:"mergeAudio",value:function(e){var t=this._context.createBuffer(this._maxNumberOfChannels(e),this._sampleRate*this._maxDuration(e),this._sampleRate);return e.forEach((function(e){for(var n=0;n<e.numberOfChannels;n++){for(var r=t.getChannelData(n),a=e.getChannelData(n),o=e.getChannelData(n).length-1;o>=0;o--)r[o]+=a[o];t.getChannelData(n).set(r)}})),t}},{key:"concatAudio",value:function(e){var t=this._context.createBuffer(this._maxNumberOfChannels(e),this._totalLength(e),this._sampleRate),n=0;return e.forEach((function(e){for(var r=0;r<e.numberOfChannels;r++)t.getChannelData(r).set(e.getChannelData(r),n);n+=e.length})),t}},{key:"padAudio",value:function(e){var t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:0,n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:0;if(0===n)return e;if(t<0)throw new Error('Crunker: Parameter "padStart" in padAudio must be positive');if(n<0)throw new Error('Crunker: Parameter "seconds" in padAudio must be positive');for(var r=this._context.createBuffer(e.numberOfChannels,Math.ceil(e.length+n*e.sampleRate),e.sampleRate),a=0;a<e.numberOfChannels;a++){var o=e.getChannelData(a);r.getChannelData(a).set(o.subarray(0,Math.ceil(t*e.sampleRate)+1),0),r.getChannelData(a).set(o.subarray(Math.ceil(t*e.sampleRate)+2,r.length+1),Math.ceil((t+n)*e.sampleRate))}return r}},{key:"sliceAudio",value:function(e,t,n){var r=arguments.length>3&&void 0!==arguments[3]?arguments[3]:0,a=arguments.length>4&&void 0!==arguments[4]?arguments[4]:0;if(t>=n)throw new Error('Crunker: "start" time should be less than "end" time in sliceAudio method');for(var o=Math.round((n-t)*this._sampleRate),i=Math.round(t*this._sampleRate),u=this._context.createBuffer(e.numberOfChannels,o,this._sampleRate),l=0;l<e.numberOfChannels;l++)for(var s=e.getChannelData(l),c=u.getChannelData(l),f=0;f<o;f++)c[f]=s[i+f],f<r*this._sampleRate&&(c[f]*=f/(r*this._sampleRate)),f>o-a*this._sampleRate&&(c[f]*=(o-f)/(a*this._sampleRate));return u}},{key:"play",value:function(e){var t=this._context.createBufferSource();return t.buffer=e,t.connect(this._context.destination),t.start(),Line truncated
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-4
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@@ -1,4 +0,0 @@
/*! howler.js v2.2.4 | (c) 2013-2020, James Simpson of GoldFire Studios | MIT License | howlerjs.com */
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USAGE NOTES
Separate Execution: Run this script independently in its own command prompt or terminal window, separate from AllTalk's operational environment.
JSON File Requirement: After TTS generation, export your list as ttsList.json and ensure it is located in the same directory as ttsgencomp.py.
Iterative Process: Should you need to regenerate TTS for any flagged IDs, repeat the export and script execution process with your updated JSON list.
CUDA Dependency: Similar to AllTalk's finetuning, this script requires access to cublas64_11. Ensure your system meets the necessary requirements.
https://github.com/erew123/alltalk_tts/tree/main?#-important-requirements-cuda-118
INSTRUCTIONS:
1) Ensure your active the Python environment that AllTalk runs in & Ensure you have the CUDA dependency set up (link above)
2) Install the required packages using pip:
pip install faster-whisper fuzzywuzzy spacy levenshtein
3) Download the language model en_core_web_md for Spacy:
python -m spacy download en_core_web_md
4) Generate your TTS in the TTS Generator and export the ttsList.JSON to .../alltalk_tts/templates/ttsgencomp/
5) Ensure you're in the directory where ttsgencomp.py is located (Replace /path/to/ with the actual path to the .../alltalk_tts/templates/ttsgencomp/ directory):
cd /path/to/alltalk_tts/templates/ttsgencomp/
6) Run the script using Python:
python ttsgencomp.py
7) Follow any on screen instructions.
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import json
import requests
import argparse
from pathlib import Path
# version 0.1
# Set up argument parsing
parser = argparse.ArgumentParser(description="Compare TTS output with the original text using detailed comparison.")
parser.add_argument("--threshold", type=int, default=98, help="Similarity threshold for considering a match (default: 98)")
args = parser.parse_args()
def disclaimer_text():
print(f"\nDISCLAIMER:")
print(f" \033[92mThis is a work in progress, aka a BETA test at best. It is not refined or production ready,")
print(f" just a proof of concept and should therefore be viewed and used as such.")
print(f"\n There is no support on this while its in BETA.\033[0m")
print(f"\nDESCRIPTION: ")
print(f" This script is designed to assist in identifying bad TTS generation ID's from the TTS Generator.\n")
print(f" This will download the Whisper Large-v2 model (if not already downloaded), and use it to compare your text to")
print(f" to the generated TTS. If it finds an issue, it will flag the ID number that has the issue. This does NOT 100%")
print(f" ensure that all TTS generated is perfect, sounds good etc, but it should flag up glaring issues and help with")
print(f" the process of identifying bad TTS generations.")
print(f"\nNOTES ON USE: ")
print(f" - Ensure AllTalk is running in its own command prompt/terminal.")
print(f" - This script should be running in its own command prompt/terminal window in the same Python Environment that")
print(f" AllTalk is running in.")
print(f" - After generating your text in the TTS Generator, you need to `Export List to JSON` and save the file in the")
print(f" same folder/directory this script is running from.")
print(f" - You can use `--threshold` with a numerical value from 1 to 100 to set accuracy detection. For example it may")
print(f" detect/transcribe `their` as `there`, which of course, both words sound the same. If you want 100% accuracy")
print(f" you will set 100 as the threshold. You will more than likely want a number in the high 90's. Default is set")
print(f" at 98, which gives a little flexibility.")
print(f" - The JSON file must be named \033[93mttsList.json\033[0m")
print(f" - When you have your ID list, go back into the TTS Generator, correct any lines and regenerate them. If you")
print(f" want to re-test everthing again after re-generating, you will need to export your list again and re-run this")
print(f" script again, against your newly exported JSON list.")
print(f" - This requires access to \033[93mcublas64_11\033[0m, the same as Finetuning.")
print(f" https://github.com/erew123/alltalk_tts/tree/main?#-important-requirements-cuda-118")
return
try:
from faster_whisper import WhisperModel
import re
import string
import spacy
import torch
from fuzzywuzzy import fuzz
except ImportError as e:
disclaimer_text()
print(f"\nERROR STARTING SCRIPT:")
print(" An error occurred importing one or more required libraries.")
print(" Please ensure you have \033[94mactivated your Python environment \033[0mand \033[94minstalled all requirements.\033[0m")
print("\n \033[94mMissing library:\033[93m", str(e), "\033[0m")
exit(1)
# Attempt to load the spaCy model
try:
# Load a medium-sized spaCy model, adjust to "en_core_web_md" or "en_core_web_lg" as needed
nlp = spacy.load("en_core_web_md")
except Exception as e:
disclaimer_text()
print(f"\nERROR STARTING SCRIPT:")
print(" Failed to load the spaCy language model.")
print(" Please ensure the spaCy language model is installed by running:")
print(" \033[93mpython -m spacy download en_core_web_md\033[0m")
exit(1)
def texts_are_similar(text1, text2, threshold=0.8):
# Preliminary check for short texts
if len(text1) < 10 or len(text2) < 10:
ratio = fuzz.ratio(text1, text2) / 100.0 # Use FuzzyWuzzy for short texts
return ratio > threshold
# Process the texts through the NLP model for longer texts
doc1 = nlp(text1)
doc2 = nlp(text2)
# Compute semantic similarity
similarity = doc1.similarity(doc2)
return similarity >= threshold
def download_file(url, destination):
response = requests.get(url)
response.raise_for_status()
with open(destination, 'wb') as f:
f.write(response.content)
def normalize_text(text):
# Normalize or remove CRLF and other non-standard whitespaces
text = text.replace("\r\n", " ").replace("\n", " ").replace("\r", " ")
# Convert to lowercase
text = text.lower()
# Standardize and then remove quotation marks
text = text.replace("“", '"').replace("”", '"').replace("‘", "'").replace("’", "'")
text = text.translate(str.maketrans('', '', '"\''))
# Remove all other punctuation except hyphens to preserve compound words
text = text.translate(str.maketrans('', '', string.punctuation.replace("-", "")))
# Collapse any sequence of whitespace (including spaces) into a single space
text = re.sub(r'\s+', ' ', text)
return text.strip()
spoken_punctuation_mapping = {
"dot": ".",
"comma": ",",
# Add more mappings as needed
}
def contains_spoken_punctuation(transcribed_text):
for spoken, punctuation in spoken_punctuation_mapping.items():
if spoken in transcribed_text:
return True
return False
def detailed_comparison(original_text, transcribed_text, threshold=98):
original_clean = normalize_text(original_text)
transcribed_clean = normalize_text(transcribed_text)
ratio = fuzz.ratio(original_clean, transcribed_clean)
return ratio > threshold
def transcribe_and_compare(file_url, original_text, model, item_id, flagged_ids):
audio_file = Path(file_url.split('/')[-1])
download_file(file_url, audio_file)
segments, info = model.transcribe(str(audio_file), beam_size=5)
transcribed_text = " ".join([segment.text for segment in segments])
# Normalize texts for comparison
original_text_normalized = normalize_text(original_text)
transcribed_text_normalized = normalize_text(transcribed_text)
# Enhanced comparison using detailed fuzzy matching
is_detailed_match = detailed_comparison(original_text_normalized, transcribed_text_normalized, args.threshold)
has_spoken_punctuation = contains_spoken_punctuation(transcribed_text_normalized) and not contains_spoken_punctuation(original_text_normalized)
# Adjust is_match based on detailed comparison and spoken punctuation check
is_match = is_detailed_match and not has_spoken_punctuation
# Only log and flag IDs for review if there's a mismatch or detected issues
if not is_match:
#print(f"\033[93mMismatch Detected - ID:\033[0m {item_id}")
print(f"\033[93mOriginal :\033[0m {original_text}")
print(f"\033[91mTranscribed:\033[0m{transcribed_text}")
if has_spoken_punctuation:
print(f"Note: Potential incorrect spoken punctuation detected.")
flagged_ids.append(item_id) # Track the ID for review
audio_file.unlink() # Remove the downloaded file after processing
def main():
model_size = "large-v3"
device = "cuda" if torch.cuda.is_available() else "cpu"
disclaimer_text()
model = WhisperModel(model_size, device=device, compute_type="float32")
flagged_ids = [] # Initialize the list to track IDs needing review
try:
with open("ttsList.json", "r", encoding="utf-8") as f:
tts_list = json.load(f)
except FileNotFoundError:
print(f"\nERROR STARTING SCRIPT:")
print(" Error: \033[93mttsList.json\033[0m file not found.")
print("\n Please ensure you follow these steps:")
print(" - After generating your text in the TTS Generator, you need to `Export List to JSON` and save the file in the")
print(" same folder/directory this script is running from.")
print(" - The JSON file must be named \033[93mttsList.json\033[0m")
exit(1)
print(f"\nPROCESSING LIST:\n")
for item in tts_list:
print(f"Processing ID: {item['id']}")
transcribe_and_compare(item['fileUrl'], item['text'], model, item['id'], flagged_ids)
# Print summary information at the end
if flagged_ids:
print(f"\n For ID's shown, in the TTS Generator, review and correct any lines by editing & regenerating them. If you")
print(f" want to re-test everthing again after re-generating, you will need to export the JSON list again and re-run")
print(f" the script again, against the newly exported JSON list.")
print("\nSUMMARY: IDs needing review:", ', '.join(map(str, flagged_ids)))
else:
print("\nSUMMARY: No issues detected.")
if __name__ == "__main__":
main()
@@ -1,2 +0,0 @@
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<!doctype html>
<html>
<head>
<meta charset="UTF-8" />
<meta http-equiv="X-UA-Compatible" content="IE=Edge" />
<meta name="viewport" content="width=device-width,initial-scale=1">
<title>AllTalk TTS Add-in</title>
<script src="https://appsforoffice.microsoft.com/lib/1.1/hosted/office.js"></script>
<link rel="stylesheet"
href="https://static2.sharepointonline.com/files/fabric/office-ui-fabric-core/11.0.0/css/fabric.min.css" />
<link href="1fda685b81e1123773f6.css" rel="stylesheet" />
<style>
label {
font-weight: 700;
display: block;
margin-top: 10px
}
select {
width: 100%;
padding: 5px
}
.nice-button {
background-color: #0078d4;
color: #fff;
padding: 10px 20px;
border: none;
border-radius: 5px;
cursor: pointer;
font-size: 16px;
transition: background-color .3s ease
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background-color: #005a9e
}
#audioSource {
width: 300px;
height: 50px
}
.input-container {
display: flex;
flex-direction: column;
margin-right: 10px
}
.input-group {
display: flex;
justify-content: start;
align-items: flex-end
}
.input-group>.input-container {
flex: 1
}
input {
width: 100%
}
</style>
<script defer="defer" src="polyfill.js"></script>
<script defer="defer" src="taskpane.js"></script>
</head>
<body class="ms-font-m ms-welcome ms-Fabric">
<header class="ms-welcome__header ms-bgColor-neutralLighter"><img width="90" height="90"
src="http://127.0.0.1:7851/api/word_addin/assets/logo-filled.png" alt="AllTalk TTS" title="AllTalk TTS" />
<h1 class="ms-font-su">AllTalk TTS</h1>
</header>
<main class="ms-welcome__main"><textarea id="text" rows="4" placeholder="Enter text here"
style="display:none"></textarea> <label for="voice">Voice:</label> <select id="voice" name="voice"
required></select> <label for="language">Language:</label> <select id="language" name="language"
value="English" required>
<option value="en" selected="selected">English</option>
<option value="ar">Arabic</option>
<option value="zh-cn">Chinese</option>
<option value="cs">Czech</option>
<option value="nl">Dutch</option>
<option value="fr">French</option>
<option value="de">German</option>
<option value="hu">Hungarian</option>
<option value="it">Italian</option>
<option value="ja">Japanese</option>
<option value="ko">Korean</option>
<option value="pl">Polish</option>
<option value="pt">Portuguese</option>
<option value="ru">Russian</option>
<option value="es">Spanish</option>
<option value="tr">Turkish</option>
</select><br><audio id="audioSource" controls autoplay></audio><br><button id="sendTextButton"
class="nice-button">Send Text to TTS</button><br><br><br><br>
<div class="input-group">
<div class="input-container"><label for="serverIP">Server IP:</label> <input id="serverIP" name="serverIP"
value="127.0.0.1" required></div>
<div class="input-container"><label for="portNumber">Port Number:</label> <input type="number"
id="portNumber" name="portNumber" value="7851" required></div>
</div>
</main>
<script src="1995fcd6d39cade7d871.js"></script>
</body>
</html>
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@@ -1,3 +0,0 @@
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truncated
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