Co-op Translator
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Co Op Translator
Overview :
Co-op Translator is a Python package designed to automate multilingual translations in your projects using Azure AI services. By integrating advanced large language model (LLM) technology and Azure AI services, the project simplifies the process of translating content into multiple languages, enabling developers to effortlessly create well-organized translation folders and easily translate Markdown files and images.
Target Users :
The target audience includes global developers, students, and researchers, particularly those engaged in technical projects who are non-native English speakers. Co-op Translator breaks down language barriers by providing easy-to-use automated translation tools, enabling technical documentation to be presented in multiple languages, thereby empowering global developers with greater opportunities for participation and contribution.
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Use Cases
Phi-3 Cookbook translation case: Demonstrates how to apply Co-op Translator to translate a real project, highlighting the translation process, challenges faced, and outcomes achieved.
Technical documentation translation: Utilize Co-op Translator to translate technical documentation into various languages, making it more accessible for non-native English-speaking developers.
International project collaboration: Cross-national teams use Co-op Translator to overcome language barriers while collaboratively developing multilingual software projects.
Features
Automated translations: Easily translate text into multiple languages.
Markdown preservation: Maintain proper Markdown syntax during the translation process.
Image text translation: Extract and translate text from images.
Advanced LLM technology: Utilize cutting-edge language models for high-quality translations.
Easy integration: Seamlessly integrate with existing project setups.
Simplified localization: Streamline the localization process for international markets.
How to Use
1. Set up Azure resources: Before starting, you will need to set up Azure Computer Vision resources and Azure OpenAI resources.
2. Create a '.env' file: In the project root directory, create an environment file containing the necessary configurations.
3. Install the Co-op Translator package: Install Co-op Translator using pip or poetry.
4. Translate your project using Co-op Translator: Follow the documentation to run translation commands, converting your project content into the target language.
5. Command reference: Understand all available commands and their options for detailed information.
6. Multilingual support setup: Before the translation process begins, add a link to a translated version table in the README.
7. Supported languages: Check the list of supported languages and add new languages as needed.
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