ChatCPP Translator Pywebview GUI

 

🧠 Offline AI Chat & Coding GUI (Rakyat Edition)

🏆 "ChatCPP Translator Pywebview GUI Rakyat Edition: Google Translate Experience in kilobytes."

🇮🇩 This project is primarily documented in Indonesian. 🇬🇧 English overview is provided below. “This project is based on the original GUI by Satria Novian

📌 Link to buy ChatCPP Translator Pywebview GUI Lifetime Edition are below / Link untuk membeli ChatCPP Translator Pywebview GUI Lifetime Edition ada dibawah ini

💸 Harga / Price Rp99.000 | $49

Windows Version (x64)

Lynk.id: http://lynk.id/satrianovian20/4w3mo26365j8

Gumroad: https://satrianovian.gumroad.com/l/vmtvk

Linux Version 

(Coming Soon)

MacOS Version 

(Donations to accelarate MacOS Compatible Build / Link donasi ada dibawah ini!)

Atau (or)

📌 Panduan Instalasi / Installation Guide:

- click setup exe (klik setup exe)

🇬🇧 English Version — Blog Description

ChatCPP Translator Pywebview GUI: Offline AI Translator Using Hugging Face Models with Desktop WebUI

ChatCPP Translator Pywebview GUI is a Python-based desktop translator application that combines modern WebUI technology with Pywebview, delivering a native desktop-like experience powered by local AI models.

The application is designed to run Hugging Face translation models fully offline, eliminating dependency on cloud APIs and removing the need for continuous internet connectivity. All inference is performed locally using pre-downloaded models.

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Offline-First Architecture with Built-in Loader Worker

One of the core features of ChatCPP Translator is its built-in loader worker, an internal component responsible for:

• Asynchronous model loading

• Memory caching

• Preventing redundant model reloads

• Eliminating internet dependency after model installation

This loader integrates directly with the desktop WebUI and Python backend, ensuring fast and stable performance without network bottlenecks.

This makes the application ideal for:

• Offline environments

• Privacy-sensitive workflows

• Enterprise usage

• Developer workflows without API reliance

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Modern Desktop GUI Using Pywebview

By using Pywebview, the application combines:

• Modern Web UI (HTML, CSS, JavaScript)

• Local Python backend

• Native desktop application experience

• No external browser required

Pywebview acts as a lightweight container that runs the WebUI locally.

Advantages include:

• Flexible and customizable UI

• Lightweight performance

• Cross-platform compatibility

• Direct Python backend integration

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Using Hugging Face Translator Models Offline

ChatCPP Translator supports various Hugging Face translation models such as:

• NLLB (No Language Left Behind)

• M2M100 (Many-to-Many Translation)

• OPUS-MT

• MarianMT models

Models can be downloaded manually using Hugging Face CLI.

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Download Model Using Hugging Face CLI

Example downloading NLLB model:

huggingface-cli download \
  facebook/nllb-200-distilled-600M \
  --repo-type model \
  --local-dir-use-symlinks False

This ensures the model is stored locally without symlinks for compatibility with the app loader.

---

Download Model Using Hugging Face Hub Script

Alternative method:

set HF_HUB_ENABLE_HF_TRANSFER=0
set HF_HUB_DISABLE_XET=1
set HF_HUB_DISABLE_PARALLEL_DOWNLOAD=1
set HF_HUB_DISABLE_SYMLINKS=1

hf download facebook/m2m100_1.2B --repo-type model

This configuration ensures:

• Stable download

• No symlink usage

• Full local compatibility

• Offline-ready deployment

---

Key Advantages

Fully Offline Operation
No internet required after model download.

Maximum Privacy
No data sent to external servers.

Fast Performance
Models loaded using built-in worker with caching.

Native Desktop Experience
Powered by Pywebview.

Developer-Friendly Architecture
Modular Python backend.

Flexible Hugging Face Model Support
Supports multiple translation models.

---

Conclusion

ChatCPP Translator Pywebview GUI provides a modern offline AI translation solution by combining Hugging Face models with a Python-powered desktop WebUI architecture.

With its built-in loader worker, model caching system, and Pywebview integration, it delivers high performance, full privacy, and maximum flexibility for both developers and professional users.

📸 Screenshot:

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ChatCPP Microsoft SAPI TTS Manager

 

📌 Link to buy ChatCPP Microsoft SAPI TTS Manager are below / Link untuk membeli ChatCPP Microsoft SAPI TTS Manager ada dibawah ini

💸 Harga / Price Rp99.000 | Price $49

Windows Only Version (x64)

Lynk.id: http://lynk.id/satrianovian20/6wgd9pwg1j1z

Gumroad: https://satrianovian.gumroad.com/l/ojxmb

🇮🇩 Deskripsi Blog (Bahasa Indonesia)

ChatCPP Microsoft SAPI TTS Manager

Kelola, ekspor, dan aktifkan suara TTS Windows dengan mudah

ChatCPP Microsoft SAPI TTS Manager adalah alat bantu untuk mengelola voice Text-to-Speech (TTS) Windows, khususnya voice Microsoft OneCore, agar bisa digunakan secara luas oleh aplikasi berbasis SAPI (Speech API).

Banyak voice bawaan Windows modern sebenarnya sudah terpasang, tetapi tidak langsung muncul di aplikasi SAPI klasik. Tool ini hadir untuk menjembatani masalah tersebut dengan proses yang aman, terstruktur, dan bisa dilakukan secara offline.

Apa yang bisa dilakukan?

• Menampilkan daftar voice SAPI yang sudah terpasang di sistem

• Mengekspor voice OneCore menjadi file konfigurasi

• Mengonversi konfigurasi OneCore agar kompatibel dengan SAPI

• Menginstal voice hasil konversi agar bisa digunakan oleh aplikasi TTS lama maupun baru

Cara Kerja Singkat

Alat ini bekerja dengan membaca voice TTS yang tersedia di Windows, lalu menyiapkan konfigurasi yang sesuai agar voice tersebut dapat dikenali oleh sistem SAPI.
Semua alur penggunaan, opsi, dan penjelasan teknis sudah tersedia langsung di menu bantuan (--help), sehingga pengguna tidak perlu membaca dokumentasi terpisah.

⚠️ Catatan:
Proses instalasi voice ke sistem Windows membutuhkan hak Administrator, karena melibatkan perubahan konfigurasi sistem.

Cocok untuk siapa?

• Pengembang aplikasi TTS

• Pembuat tool AI / asisten suara

• Pengguna Windows yang ingin memaksimalkan voice bawaan sistem

• Pengguna ChatCPP Multi Engine Worker

Dengan ChatCPP Microsoft SAPI TTS Manager, pengelolaan voice TTS Windows menjadi lebih rapi, konsisten, dan mudah dikontrol.

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🇬🇧 Blog Description (English)

ChatCPP Microsoft SAPI TTS Manager

Manage, export, and enable Windows TTS voices with ease

ChatCPP Microsoft SAPI TTS Manager is a utility designed to manage Windows Text-to-Speech voices, especially Microsoft OneCore voices, so they can be used by applications that rely on SAPI (Speech API).

Many modern Windows voices are already installed on the system but are not directly available to classic SAPI-based applications. This tool bridges that gap with a structured and offline-friendly workflow.

What can it do?

• List installed SAPI voices on the system

• Export OneCore voices into configuration files

• Convert OneCore configurations into SAPI-compatible formats

• Install converted voices so they become available system-wide

How it Works (Overview)

The tool scans available Windows TTS voices and prepares the necessary configuration so they can be recognized by the SAPI subsystem.
All usage instructions, available options, and technical details are clearly documented inside the built-in help (--help), making it easy to learn without external documentation.

⚠️ Note:
Installing voices into Windows requires Administrator privileges, as it modifies system-level settings.

Who is it for?

• TTS application developers

• AI and voice assistant creators

• Windows users who want full access to built-in voices

• ChatCPP Multi Engine Worker users

ChatCPP Microsoft SAPI TTS Manager helps you unlock the full potential of Windows TTS voices in a clean, controlled, and developer-friendly way.

📸 Screenshot:

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ChatCPP Whisper Worker

 

📌 Link to buy ChatCPP Whisper Worker are below / Link untuk membeli ChatCPP Whisper Worker ada dibawah ini)

💸 Harga / Price Rp99.000 | Price $49

Windows Version (x64)

Lynk.id: http://lynk.id/satrianovian20/n7w2ozzyrexd

Gumroad: https://satrianovian.gumroad.com/l/rajqav

Linux Version 

(Coming Soon)

MacOS Version 

(Donations to accelarate MacOS Compatible Build / Link donasi ada dibawah ini!)

Atau (or)

🔹 🇬🇧 English Version

Headline

ChatCPP Whisper Worker — Lightweight CLI Engine for Fast Speech-to-Text Transcription

Description

ChatCPP Whisper Worker is a lightweight command-line engine designed to perform fast and accurate speech-to-text transcription using OpenAI Whisper models. It supports multiple model sizes, various audio and video formats, and flexible output types such as plain text and subtitle files.

The worker engine is automatically added to your system PATH during installation, so it can be executed directly from any terminal or script without manual configuration.

If you want to explore available arguments and options, simply run the worker with the --help flag to display the built-in usage guide.

Ideal for developers, automation pipelines, and power users who need reliable transcription capabilities without heavy GUI overhead.

---

🔹 Bahasa Indonesia

Headline

ChatCPP Whisper Worker — Engine CLI Ringan untuk Transkripsi Suara ke Teks

Deskripsi

ChatCPP Whisper Worker adalah engine command-line ringan yang dirancang untuk melakukan transkripsi suara ke teks secara cepat dan akurat menggunakan model Whisper. Mendukung berbagai ukuran model, beragam format audio dan video, serta keluaran fleksibel seperti teks biasa dan subtitle.

Saat proses instalasi, engine worker akan otomatis ditambahkan ke sistem PATH, sehingga bisa langsung digunakan dari terminal atau skrip tanpa konfigurasi tambahan.

Untuk melihat daftar perintah, argumen, dan opsi yang tersedia, pengguna cukup menjalankan worker dengan parameter --help untuk menampilkan panduan bawaan.

Sangat cocok untuk developer, workflow otomatisasi, dan pengguna lanjutan yang membutuhkan sistem transkripsi stabil tanpa ketergantungan antarmuka grafis.

📸 Screenshot:

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ChatCPP Template Ttkbootstrap Listbox Menu

 

ChatCPP Template Ttkbootstrap Listbox Menu

📌 Link to buy ChatCPP Template Ttkbootstrap Listbox Menu are below / Link untuk membeli ChatCPP Template Ttkbootstrap Listbox Menu ada dibawah ini!

💸 Harga / Price Rp30.000 | $6

Lynk.id: http://lynk.id/satrianovian20/zmnzjev1pern

Gumroad: https://satrianovian.gumroad.com/l/hllqey

🇮🇩 Versi Bahasa Indonesia

ChatCPP Template – Ttkbootstrap Listbox Menu

Arsitektur Dispatcher Sehat untuk Aplikasi Tkinter

ChatCPP Template adalah template GUI berbasis Tkinter + ttkbootstrap yang dirancang dengan satu tujuan utama:
menghilangkan kerumitan UI logic dan menggantinya dengan arsitektur dispatcher yang sehat, rapi, dan mudah dikembangkan.

Template ini menggunakan Listbox sebagai menu utama dan dispatcher pattern sebagai pusat navigasi, sehingga seluruh alur perpindahan tampilan dikontrol dari satu tempat yang jelas dan konsisten.

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Kenapa Dispatcher Itu Penting?

Banyak aplikasi Tkinter tumbuh secara tidak terkontrol karena:

• Logic UI tersebar di banyak fungsi

• Tab dikontrol dengan if / elif yang semakin panjang

• Setiap fitur baru membuat kode lama makin rapuh

ChatCPP Template memecahkan masalah ini dengan pendekatan dispatcher terpusat.

Artinya:

• Menu tidak dikontrol manual

• Perpindahan tab tidak bergantung pada kondisi bercabang

• Setiap fitur berdiri sebagai unit mandiri

---

Cara Kerja Secara Konseptual

Di template ini:

• Menu hanya bertugas menampilkan daftar fitur

• Dispatcher bertugas menentukan konten apa yang ditampilkan

• Konten dibuat oleh masing-masing modul/tab secara terpisah

Dengan pemisahan ini:

• UI menjadi mudah dipahami

• Perubahan satu fitur tidak merusak fitur lain

• Struktur aplikasi tetap stabil walaupun skala bertambah

---

Manfaat untuk Setiap Level Developer

Untuk Junior Developer

• Struktur aplikasi jelas dan konsisten

• Tidak perlu memahami seluruh aplikasi untuk menambah fitur

• Risiko merusak UI hampir nol

Untuk Mid-Level Developer

• Mudah menambah, menghapus, atau menyusun ulang menu

• Logic navigasi hanya ada di satu tempat

• Cocok untuk aplikasi dengan banyak fitur atau worker

Untuk Senior Developer

• Arsitektur bersih dan predictable

• Aman untuk refactor jangka panjang

• Mudah dikembangkan menjadi plugin system atau enterprise app

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Apa yang Tidak Dilakukan Template Ini

Template ini secara sengaja menghindari:

• Hardcoded menu dan tab

• Logic bercabang panjang untuk navigasi

• Campur aduk antara UI, state, dan business logic

Semua itu digantikan dengan dispatcher yang terkontrol dan teruji secara konseptual.

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Kesimpulan

ChatCPP Template bukan sekadar template UI.
Ini adalah fondasi arsitektur untuk membangun aplikasi Tkinter yang:

• Mudah dirawat

• Mudah dikembangkan

• Siap tumbuh ke level production

Jika kamu memahami konsep dispatcher di template ini,
kamu sudah selangkah lebih dekat membangun GUI AI dan tool profesional tanpa technical debt UI.

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🇬🇧 English Version

ChatCPP Template – Ttkbootstrap Listbox Menu

A Healthy Dispatcher Architecture for Tkinter Applications

ChatCPP Template is a Tkinter + ttkbootstrap GUI template designed with one clear goal:
to eliminate messy UI logic and replace it with a clean, healthy, dispatcher-based architecture.

The template uses a Listbox as the main menu and a dispatcher pattern as the central navigation mechanism, ensuring that all view transitions are handled in a predictable and maintainable way.

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Why Dispatcher Matters

Many Tkinter applications become difficult to maintain because:

• UI logic is scattered across multiple functions

• Navigation relies on long if / elif chains

• Each new feature increases the risk of breaking existing code

ChatCPP Template solves this by introducing a centralized dispatcher.

This means:

• Menus are not manually controlled

• Navigation does not rely on branching conditions

• Each feature exists as an independent, isolated unit

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Conceptual Workflow

In this template:

• The menu is only responsible for displaying available features

• The dispatcher decides which content is shown

• Each tab builds its own UI independently

This separation ensures that:

• The UI remains easy to understand

• Changes in one feature do not affect others

• The application structure stays stable as it grows

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Benefits by Developer Level

For Junior Developers

• Clear and predictable structure

• Easy to add features without understanding the entire codebase

• Very low risk of breaking the UI

For Mid-Level Developers

• Simple menu management and reordering

• Single point of navigation control

• Ideal for multi-feature or worker-based applications

For Senior Developers

• Clean and maintainable architecture

• Refactor-safe design

• Easily extensible into plugin-based or enterprise systems

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What This Template Avoids

This template intentionally avoids:

• Hardcoded menus and tabs

• Complex conditional navigation logic

• Mixing UI logic with business logic

All of these are replaced by a controlled and well-defined dispatcher flow.

---

Conclusion

ChatCPP Template is more than just a UI starter.
It is an architectural foundation for building Tkinter applications that are:

• Maintainable

• Scalable

• Production-ready

If you understand the dispatcher concept used here,
you are already capable of building professional AI tools and GUIs without UI technical debt.

📸 Screenshot:

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