TransQueueAI

Description

TransQueueAI is a Python-based automated translation queue system that leverages OpenAI's GPT-3.5 Turbo model. This system is designed to handle large-scale text translation tasks, ensuring efficient operation and fault tolerance.

Features

• Parallelized Translation: Takes advantage of Python's threading capabilities to speed up the translation process.
• Rate-Limit Handling: Automatically retries translation tasks when API rate limits are reached.
• Progress Tracking: Keeps track of the translation progress and resumes from where it left off.
• Queue Persistence: Stores the task queue in a JSON file so the program can be safely stopped and resumed.

Installation

1. Clone this repository to your local machine.
2. Install the required Python packages using pip install -r requirements.txt.
3. Rename .env.example to .env and update it with your OpenAI API Key and other configurations.

Usage

1. Add your .po files in the input directory.
2. Run main.py to start the translation process.

How it Works

• The translation tasks are placed in a queue.
• Multiple threads pick tasks from the queue and send them to the OpenAI GPT-3.5 Turbo model for translation.
• The translated text is then stored and the queue is updated.
• All progress is saved in a progress.json file.

Contributing

We welcome contributions! Please see the CONTRIBUTING.md for details.

License

This project is licensed under the MIT License - see the LICENSE.md file for details.