Bump protobuf from 6.32.1 to 6.33.5 in /py

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 6.32.1 to 6.33.5. - [Release notes](https://github.com/protocolbuffers/protobuf/releases) - [Commits](https://github.com/protocolbuffers/protobuf/commits) --- updated-dependencies: - dependency-name: protobuf dependency-version: 6.33.5 dependency-type: indirect ... Signed-off-by: dependabot[bot] <support@github.com>
2026-05-06 21:51:14 +00:00
14 changed files with 56 additions and 119 deletions
--- a/README.md
+++ b/README.md
@@ -1,38 +1,16 @@
 # Supertonic — Lightning Fast, On-Device, Accurate TTS

+[![v3 Demo](https://img.shields.io/badge/🤗%20v3-Demo-yellow)](https://huggingface.co/spaces/Supertone/supertonic-3)
+[![v3 Models](https://img.shields.io/badge/🤗%20v3-Models-blue)](https://huggingface.co/Supertone/supertonic-3)
+[![v2 Branch](https://img.shields.io/badge/v2-release%2Fsupertonic--2-lightgrey)](https://github.com/supertone-inc/supertonic/tree/release/supertonic-2)
+[![v1 Demo](https://img.shields.io/badge/🤗%20v1%20(old)-Demo-lightgrey)](https://huggingface.co/spaces/Supertone/supertonic#interactive-demo)
+[![v1 Models](https://img.shields.io/badge/🤗%20v1%20(old)-Models-lightgrey)](https://huggingface.co/Supertone/supertonic)
+
 <p align="center">
  <img src="img/Supertonic3_HeroImage.png" alt="Supertonic 3 Banner">
 </p>

-[![GitHub | Official Repo](https://img.shields.io/badge/GitHub-Official%20Repo-black?logo=github)](https://github.com/supertone-inc/supertonic)
-[![Models](https://img.shields.io/badge/🤗%20Hugging%20Face-Models-blue)](https://huggingface.co/Supertone/supertonic-3)
-[![Runs Locally via WebGPU](https://img.shields.io/badge/🤗%20Hugging%20Face-Demo-yellow)](https://huggingface.co/spaces/Supertone/supertonic-3)
-[![DemoPage | Audio Samples](https://img.shields.io/badge/DemoPage-Audio%20Samples-F5D90A?labelColor=0B0C0E)](https://supertonic3.github.io/)
-[![Voice Builder | Cloning Demo](https://img.shields.io/badge/Voice%20Builder-Cloning%20Demo-3457D5?logo=soundcloud&logoColor=white)](https://supertonic.supertone.ai/voice_builder)
-[![GitHub | Python Package](https://img.shields.io/badge/GitHub-Python%20Package-black?logo=github)](https://github.com/supertone-inc/supertonic-py)
-[![Docs | Python PyPI](https://img.shields.io/badge/Docs-Python%20PyPI-blue?logo=readthedocs&logoColor=white)](https://supertone-inc.github.io/supertonic-py/)
-
-<p align="center">
-  <a href="https://trendshift.io/repositories/15657" target="_blank"><img src="https://trendshift.io/api/badge/repositories/15657" alt="supertone-inc%2Fsupertonic | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
-</p>
-
-**Supertonic** is a lightning-fast, on-device multilingual text-to-speech system designed for local inference with minimal overhead. Powered by ONNX Runtime, it runs entirely on your device—no cloud, no API calls, no privacy concerns.
-
-### ✨ Highlights
-
- ⚡ **Blazingly Fast** — Low-latency, real-time synthesis across desktop, browser, mobile, and edge — fast enough to turn an entire webpage into audio in under a second
- 🌍 **31-Language Multilingual** — Synthesize directly from text across 31 languages, or pass `lang="na"` to let Supertonic process the text language-agnostically when you don't know the input language — no separate language adapters needed
- 🪶 **99M-Parameter Open-Weight Model** — A compact, fully open-weight checkpoint — a fraction of the size of 0.7B–2B class open TTS systems — for smaller downloads, faster cold starts, and lower memory footprint
- 📱 **Edge-Device Ready** — Runs locally on desktop, mobile, browsers, and resource-constrained hardware like Raspberry Pi or e-readers, with zero network dependency, complete privacy, and no GPU required
- 🔊 **44.1kHz High-Quality Audio** — Outputs studio-grade 44.1kHz 16-bit WAV directly, ready for production playback without any external upsampler
- 🎭 **Expression Tags** — 10 inline tags (e.g. `<laugh>`, `<breath>`, `<sigh>`) bring natural human nuance into generated speech without prompt engineering or reference audio
- 🛠️ **Multi-Runtime SDKs** — Ready-to-use examples through ONNX Runtime across Python, Node.js, Browser (WebGPU), Java, C++, C#, Go, Swift, iOS, Rust, and Flutter
-
-### 🌍 Supported Languages (31)
-
-Arabic (`ar`), Bulgarian (`bg`), Croatian (`hr`), Czech (`cs`), Danish (`da`), Dutch (`nl`), English (`en`), Estonian (`et`), Finnish (`fi`), French (`fr`), German (`de`), Greek (`el`), Hindi (`hi`), Hungarian (`hu`), Indonesian (`id`), Italian (`it`), Japanese (`ja`), Korean (`ko`), Latvian (`lv`), Lithuanian (`lt`), Polish (`pl`), Portuguese (`pt`), Romanian (`ro`), Russian (`ru`), Slovak (`sk`), Slovenian (`sl`), Spanish (`es`), Swedish (`sv`), Turkish (`tr`), Ukrainian (`uk`), Vietnamese (`vi`)
-
-> **Not sure which language your text is in?** Pass `lang="na"` and Supertonic will handle the input in a language-agnostic way — no explicit language tag required.
+**Supertonic** is a lightning-fast, on-device text-to-speech system designed for local inference with minimal overhead. Powered by ONNX Runtime, it runs entirely on your device—no cloud, no API calls, no privacy concerns.

 ### 📰 Update News

@@ -44,8 +22,6 @@ Arabic (`ar`), Bulgarian (`bg`), Croatian (`hr`), Czech (`cs`), Danish (`da`), D
 - **2025.12.08** - Optimized ONNX models via [OnnxSlim](https://github.com/inisis/OnnxSlim) now available on [Hugging Face Models](https://huggingface.co/Supertone/supertonic)
 - **2025.11.24** - Added Flutter SDK support with macOS compatibility

---
-
 ## Quick Start

 Install the Python SDK and generate speech immediately. On the first run, Supertonic downloads the model assets from Hugging Face automatically.
@@ -64,23 +40,11 @@ tts = TTS(auto_download=True)

 style = tts.get_voice_style(voice_name="M1")

-text = "Supertonic is a lightning fast, on-device TTS system."
-
-wav, duration = tts.synthesize(
-    text=text,
-    lang="en",                      # Language code (e.g., "en", "ko", "na" for language-agnostic)
-    voice_style=style,              # Voice style object
-    total_steps=8,                  # Quality: 5 (low) to 12 (high), default 8 (medium)
-    speed=1.05,                     # Speed: 0.7 (slow) to 2.0 (fast)
-)
-# wav: numpy array of shape (1, num_samples,) with dtype=np.float32, sampled at 44100 Hz
-# duration: numpy array of shape (1,) containing the duration of the generated audio in seconds
+text = "A gentle breeze moved through the open window while everyone listened to the story."
+wav, duration = tts.synthesize(text, voice_style=style, lang="en")

 tts.save_audio(wav, "output.wav")
-# import soundfile as sf
-# sf.write("output.wav", wav.squeeze(), 44100)
-
-print(f"Generated {duration[0]:.2f}s of audio")
+print(f"Generated {duration:.2f}s of audio")
 ```

 ## Getting Started
@@ -193,14 +157,13 @@ In Xcode: Targets → ExampleiOSApp → Signing: select your Team, then choose y

 </details>

---

 ### Technical Details

 - **Runtime**: ONNX Runtime for cross-platform inference
 - **Browser Support**: onnxruntime-web for client-side inference
 - **Batch Processing**: Supports batch inference for improved throughput
- **Audio Output**: Outputs 44.1kHz 16-bit WAV files
+- **Audio Output**: Outputs 16-bit WAV files

 ## Performance Highlights

@@ -212,40 +175,7 @@ Supertonic 3 is designed for practical on-device inference: compact enough to ru
  <img src="img/metrics/s3_vs_measured_wer_range_voxcpm2.png" alt="Supertonic 3 reading accuracy compared with measured model ranges and VoxCPM2">
 </p>

-Evaluated on the **[Minimax-MLS-test](https://huggingface.co/datasets/MiniMaxAI/TTS-MLS-Test) benchmark**, Supertonic 3 stays within a competitive WER/CER range against much larger open TTS models such as VoxCPM2, while preserving a lightweight on-device deployment path. Asterisked languages (`*`) use CER; the others use WER.
-
-<details>
-<summary><b>📊 Detailed per-language results (WER / CER*)</b></summary>
-
-<br>
-
-| Lang | VoxCPM2 | OmniVoice | Qwen3-TTS | Supertonic 2 | **Supertonic 3** |
-|---|:---:|:---:|:---:|:---:|:---:|
-| arabic\*   | 4.14  | 1.74  | —    | —    | **2.14**  |
-| czech      | 23.73 | 2.40  | —    | —    | **3.02**  |
-| dutch      | 0.84  | 0.77  | —    | —    | **1.47**  |
-| english    | 2.11  | 2.02  | 2.25 | 2.52 | **2.06**  |
-| finnish    | 2.29  | 3.94  | —    | —    | **5.40**  |
-| french     | 4.41  | 4.74  | 3.82 | 5.09 | **4.89**  |
-| german     | 0.85  | 0.96  | 0.52 | —    | **0.86**  |
-| greek      | 3.22  | 2.96  | —    | —    | **3.54**  |
-| hindi\*    | 5.85  | 5.14  | —    | —    | **5.34**  |
-| indonesian | 1.25  | 1.67  | —    | —    | **1.34**  |
-| italian    | 1.74  | 1.29  | 1.40 | —    | **1.75**  |
-| japanese\* | 3.35  | 3.81  | 3.67 | —    | **4.61**  |
-| korean\*   | 4.70  | 3.22  | 4.07 | 3.65 | **3.26**  |
-| polish     | 1.30  | 0.64  | —    | —    | **1.63**  |
-| portuguese | 1.74  | 1.40  | 1.21 | 1.52 | **2.48**  |
-| romanian   | 22.39 | 2.29  | —    | —    | **2.19**  |
-| russian    | 3.31  | 4.53  | 4.48 | —    | **3.99**  |
-| spanish    | 1.34  | 0.99  | 0.75 | 1.81 | **1.13**  |
-| turkish    | 0.88  | 2.18  | —    | —    | **1.00**  |
-| ukrainian  | 5.85  | 0.71  | —    | —    | **1.23**  |
-| vietnamese | 1.48  | 0.79  | —    | —    | **4.49**  |
-
-> Lower is better. `*` indicates CER (character error rate); all other rows use WER (word error rate). Dashes (`—`) indicate the model does not officially support the language or no result is available.
-
-</details>
+Across measured languages, Supertonic 3 stays within a competitive WER/CER range against much larger open TTS models such as VoxCPM2, while preserving a lightweight on-device deployment path. Asterisked languages use CER; the others use WER.

 ### Supertonic 2 to Supertonic 3

@@ -293,7 +223,29 @@ Turns any webpage into audio in under one second, delivering lightning-fast, on-

 https://github.com/user-attachments/assets/cc8a45fc-5c3e-4b2c-8439-a14c3d00d91c

-## Programming Language Support
+## Why Supertonic?
+
+- **Blazingly Fast**: Optimized for low-latency, on-device speech generation across desktop, browser, and edge deployments
+- **Lightweight**: Compact ONNX assets designed for efficient local execution
+- **On-Device Capable**: Complete privacy and zero network dependency
+- **Accurate Reading**: Improved reading stability with fewer repeat and skip failures
+- **Expressive Tags**: Supports simple expression tags such as `<laugh>`, `<breath>`, and `<sigh>`
+- **Flexible Deployment**: Ready-to-use examples across Python, JavaScript, browser, mobile, and native runtimes
+
+## Language Support
+
+Supertonic 3 supports 31 languages:
+
+| Code | Language | Code | Language | Code | Language | Code | Language |
+|------|----------|------|----------|------|----------|------|----------|
+| `en` | English | `ko` | Korean | `ja` | Japanese | `ar` | Arabic |
+| `bg` | Bulgarian | `cs` | Czech | `da` | Danish | `de` | German |
+| `el` | Greek | `es` | Spanish | `et` | Estonian | `fi` | Finnish |
+| `fr` | French | `hi` | Hindi | `hr` | Croatian | `hu` | Hungarian |
+| `id` | Indonesian | `it` | Italian | `lt` | Lithuanian | `lv` | Latvian |
+| `nl` | Dutch | `pl` | Polish | `pt` | Portuguese | `ro` | Romanian |
+| `ru` | Russian | `sk` | Slovak | `sl` | Slovenian | `sv` | Swedish |
+| `tr` | Turkish | `uk` | Ukrainian | `vi` | Vietnamese | | |

 We provide ready-to-use TTS inference examples across multiple ecosystems:

@@ -421,19 +373,6 @@ Supertonic is designed to handle complex, real-world text inputs that contain na
 | **Transformers.js** | Hugging Face's JS library with Supertonic support | [GitHub PR](https://github.com/huggingface/transformers.js/pull/1459) · [Demo](https://huggingface.co/spaces/webml-community/Supertonic-TTS-WebGPU) |
 | **Pinokio** | 1-click localhost cloud for Mac, Windows, and Linux | [Pinokio](https://pinokio.co/) · [GitHub](https://github.com/SUP3RMASS1VE/SuperTonic-TTS) |

-## Models & Versions
-
-|  | **Supertonic 3** | Supertonic 2 | Supertonic 1 |
-|---|:---:|:---:|:---:|
-| **Status** | 🟢 Latest | Stable | Legacy |
-| **Parameters** | ~99M | ~66M | ~66M |
-| **Languages** | 31 | 5 | 1 (en) |
-| **Expression Tags** | ✅ 10 tags | — | — |
-| **Code** | [main](https://github.com/supertone-inc/supertonic) | [release/supertonic-2](https://github.com/supertone-inc/supertonic/tree/release/supertonic-2) | — |
-| **Weights** | [🤗 HF](https://huggingface.co/Supertone/supertonic-3) | [🤗 HF](https://huggingface.co/Supertone/supertonic-2) | [🤗 HF](https://huggingface.co/Supertone/supertonic) |
-| **Interactive Demo** | [🤗 Space](https://huggingface.co/spaces/Supertone/supertonic-3) | [🤗 Space](https://huggingface.co/spaces/Supertone/supertonic-2) | [🤗 Space](https://huggingface.co/spaces/Supertone/supertonic#interactive-demo) |
-| **Audio Samples** | [DemoPage](https://supertonic3.github.io/) | — | [DemoPage](https://supertonictts.github.io/) |
-
 ## Citation

 The following papers describe the core technologies used in Supertonic. If you use this system in your research or find these techniques useful, please consider citing the relevant papers:
--- a/cpp/helper.cpp
+++ b/cpp/helper.cpp
@@ -12,7 +12,7 @@
 using json = nlohmann::json;

 // Available languages for multilingual TTS
-const std::vector<std::string> AVAILABLE_LANGS = {"en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi", "na"};
+const std::vector<std::string> AVAILABLE_LANGS = {"en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"};

 // Global tensor buffers for memory management
 static std::vector<std::vector<float>> g_tensor_buffers_float;
--- a/csharp/Helper.cs
+++ b/csharp/Helper.cs
@@ -13,7 +13,7 @@ namespace Supertonic
    // Available languages for multilingual TTS
    public static class Languages
    {
-        public static readonly string[] Available = { "en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi", "na" };
+        public static readonly string[] Available = { "en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi" };
    }

    // ============================================================================
--- a/flutter/lib/helper.dart
+++ b/flutter/lib/helper.dart
@@ -12,7 +12,7 @@ final logger = Logger(
 );

 // Available languages for multilingual TTS
-const List<String> availableLangs = ['en', 'ko', 'ja', 'ar', 'bg', 'cs', 'da', 'de', 'el', 'es', 'et', 'fi', 'fr', 'hi', 'hr', 'hu', 'id', 'it', 'lt', 'lv', 'nl', 'pl', 'pt', 'ro', 'ru', 'sk', 'sl', 'sv', 'tr', 'uk', 'vi', 'na'];
+const List<String> availableLangs = ['en', 'ko', 'ja', 'ar', 'bg', 'cs', 'da', 'de', 'el', 'es', 'et', 'fi', 'fr', 'hi', 'hr', 'hu', 'id', 'it', 'lt', 'lv', 'nl', 'pl', 'pt', 'ro', 'ru', 'sk', 'sl', 'sv', 'tr', 'uk', 'vi'];

 bool isValidLang(String lang) => availableLangs.contains(lang);

--- a/go/helper.go
+++ b/go/helper.go
@@ -19,7 +19,7 @@ import (
 )

 // Available languages for multilingual TTS
-var AvailableLangs = []string{"en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi", "na"}
+var AvailableLangs = []string{"en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"}

 // Config structures
 type SpecProcessorConfig struct {
--- a/ios/ExampleiOSApp/TTSService.swift
+++ b/ios/ExampleiOSApp/TTSService.swift
@@ -35,8 +35,7 @@ final class TTSService {
        case tr = "tr"
        case uk = "uk"
        case vi = "vi"
-        case na = "na"
-
+        
        var displayName: String {
            switch self {
            case .en: return "English"
@@ -70,7 +69,6 @@ final class TTSService {
            case .tr: return "Turkish"
            case .uk: return "Ukrainian"
            case .vi: return "Vietnamese"
-            case .na: return "Auto (language-agnostic)"
            }
        }
    }
--- a/java/Helper.java
+++ b/java/Helper.java
@@ -22,7 +22,7 @@ import java.util.regex.Matcher;
 * Available languages for multilingual TTS
 */
 class Languages {
-    public static final List<String> AVAILABLE = Arrays.asList("en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi", "na");
+    public static final List<String> AVAILABLE = Arrays.asList("en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi");
    
    public static boolean isValid(String lang) {
        return AVAILABLE.contains(lang);
--- a/nodejs/helper.js
+++ b/nodejs/helper.js
@@ -5,7 +5,7 @@ import * as ort from 'onnxruntime-node';

 const __filename = fileURLToPath(import.meta.url);

-const AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi", "na"];
+const AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"];

 /**
 * Unicode text processor
--- a/py/example_pypi.py
+++ b/py/example_pypi.py
@@ -13,5 +13,4 @@ wav, duration = tts.synthesize(text, voice_style=style)
 # duration: np.ndarray, shape = (1,)

 # Save to file
-tts.save_audio(wav, "results/example_pypi.wav")
-print(f"Generated {duration[0]:.2f}s of audio")
+tts.save_audio(wav, "results/example_pypi.wav")
--- a/py/helper.py
+++ b/py/helper.py
@@ -10,7 +10,7 @@ import onnxruntime as ort

 import re

-AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi", "na"]
+AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"]


 class UnicodeProcessor:
--- a/py/uv.lock
+++ b/py/uv.lock
@@ -705,16 +705,17 @@ wheels = [

 [[package]]
 name = "protobuf"
-version = "6.32.1"
+version = "6.33.5"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/fa/a4/cc17347aa2897568beece2e674674359f911d6fe21b0b8d6268cd42727ac/protobuf-6.32.1.tar.gz", hash = "sha256:ee2469e4a021474ab9baafea6cd070e5bf27c7d29433504ddea1a4ee5850f68d", size = 440635, upload-time = "2025-09-11T21:38:42.935Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/25/7c72c307aafc96fa87062aa6291d9f7c94836e43214d43722e86037aac02/protobuf-6.33.5.tar.gz", hash = "sha256:6ddcac2a081f8b7b9642c09406bc6a4290128fce5f471cddd165960bb9119e5c", size = 444465, upload-time = "2026-01-29T21:51:33.494Z" }
 wheels = [
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-    { url = "https://files.pythonhosted.org/packages/8c/f3/6f58f841f6ebafe076cebeae33fc336e900619d34b1c93e4b5c97a81fdfa/protobuf-6.32.1-cp310-abi3-win_amd64.whl", hash = "sha256:b00a7d8c25fa471f16bc8153d0e53d6c9e827f0953f3c09aaa4331c718cae5e1", size = 435738, upload-time = "2025-09-11T21:38:30.959Z" },
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 ]

 [[package]]
--- a/rust/src/helper.rs
+++ b/rust/src/helper.rs
@@ -15,7 +15,7 @@ use rand_distr::{Distribution, Normal};
 use regex::Regex;

 // Available languages for multilingual TTS
-pub const AVAILABLE_LANGS: &[&str] = &["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi", "na"];
+pub const AVAILABLE_LANGS: &[&str] = &["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"];

 pub fn is_valid_lang(lang: &str) -> bool {
    AVAILABLE_LANGS.contains(&lang)
--- a/swift/Sources/Helper.swift
+++ b/swift/Sources/Helper.swift
@@ -4,7 +4,7 @@ import OnnxRuntimeBindings

 // MARK: - Available Languages

-let AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi", "na"]
+let AVAILABLE_LANGS = ["en", "ko", "ja", "ar", "bg", "cs", "da", "de", "el", "es", "et", "fi", "fr", "hi", "hr", "hu", "id", "it", "lt", "lv", "nl", "pl", "pt", "ro", "ru", "sk", "sl", "sv", "tr", "uk", "vi"]

 func isValidLang(_ lang: String) -> Bool {
    return AVAILABLE_LANGS.contains(lang)
--- a/web/helper.js
+++ b/web/helper.js
@@ -1,7 +1,7 @@
 import * as ort from 'onnxruntime-web';

 // Available languages for multilingual TTS
-export const AVAILABLE_LANGS = ['en', 'ko', 'ja', 'ar', 'bg', 'cs', 'da', 'de', 'el', 'es', 'et', 'fi', 'fr', 'hi', 'hr', 'hu', 'id', 'it', 'lt', 'lv', 'nl', 'pl', 'pt', 'ro', 'ru', 'sk', 'sl', 'sv', 'tr', 'uk', 'vi', 'na'];
+export const AVAILABLE_LANGS = ['en', 'ko', 'ja', 'ar', 'bg', 'cs', 'da', 'de', 'el', 'es', 'et', 'fi', 'fr', 'hi', 'hr', 'hu', 'id', 'it', 'lt', 'lv', 'nl', 'pl', 'pt', 'ro', 'ru', 'sk', 'sl', 'sv', 'tr', 'uk', 'vi'];

 export function isValidLang(lang) {
    return AVAILABLE_LANGS.includes(lang);