This project provides a feature-rich, open-source web interface for interacting with OpenAI's ChatGPT API, targeting users who want a customizable, private, and cost-effective alternative to official ChatGPT subscriptions. It offers a fast, mobile-friendly experience with features like voice input, prompt customization, and chat export.

How It Works

ChatGPT-web is a single-page web application built with modern web technologies. It leverages the OpenAI API for natural language processing and generation, allowing users to select different models, including GPT-4. All conversation data is stored locally in the browser's local storage, ensuring user privacy and persistence across sessions. The interface supports streaming responses for a more interactive feel and includes DALL·E integration for image generation.

Quick Start & Requirements

• Install dependencies and start the development server: npm ci followed by npm run dev.
• For production build: npm run build.
• To integrate latest prompts: git subtree pull --prefix src/awesome-chatgpt-prompts https://github.com/f/awesome-chatgpt-prompts.git main --squash.
• Docker Compose for local deployment: docker compose up -d.
• Access local service: http://localhost:5173/.
• Mocked API configuration: Set VITE_API_BASE=http://localhost:5174 in .env and run docker compose up -d mocked_api.
• Desktop app development: Requires Rust. Run npm run tauri dev. Production build: npm run tauri build.

Highlighted Details

• Supports multiple OpenAI models, including GPT-4.
• Features voice input and text-to-speech capabilities.
• Integrates image generation via DALL·E.
• Chats are exportable as Markdown files.
• Can be packaged as a desktop application using Tauri.

Maintenance & Community

The project has a diverse list of contributors, indicated by emojis for their contributions (e.g., 🤔 for core development, 💻 for code, 🐛 for bug fixes, 🎨 for design, 📖 for documentation).

Licensing & Compatibility

Licensed under GPL-3.0. This is a strong copyleft license, meaning derivative works must also be open-sourced under the same license.

Limitations & Caveats

Requires an OpenAI API key, incurring costs based on usage. The GPL-3.0 license may impose restrictions on integrating this code into proprietary, closed-source applications.