genai-translator 0.1

An AI-powered chatbot that leverages multiple open-source models, including Groq, for advanced language processing and translation.

GenAI Translator

GenAI Translator is a state-of-the-art multilingual translation application designed to leverage advanced language models for high-quality translations. This project uses powerful AI models from Groq, Google, and OpenAI to deliver precise and contextually accurate translations.

Features

• Multi-Model Support: Integrates with Groq, Google, and OpenAI language models.
• Customizable Prompts: Uses configurable prompt templates for translation tasks.
• User-Friendly Interface: Built with Gradio for easy interaction and visualization.
• Logging & Monitoring: Comprehensive logging setup with file rotation for tracking and debugging.

Table of Contents

• Installation
• Configuration
• Usage
• File Structure
• API Documentation
• Contributing
• License
• Contact

Installation

1. Clone the Repository:

   git clone https://github.com/itsmohitkumar/GenAI-Translator.git
   cd GenAI-Translator
   

2. Create a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use: venv\Scripts\activate
   

3. Install Dependencies:

   pip install -r requirements.txt
   

4. Set Up Environment Variables:

   Create a .env file in the root directory and add your API keys:

   GROQ_API_KEY=your_groq_api_key
   GOOGLE_API_KEY=your_google_api_key
   OPENAI_API_KEY=your_openai_api_key
   LANGCHAIN_API_KEY=your_langchain_api_key
   

Configuration

The configuration is managed in the config.py file. The default values can be adjusted based on your preferences.

Default Values:

• Groq Model Name: llama3-70b-8192
• Google Model Name: gemini-1.5-pro
• OpenAI Model Name: gpt-3.5-turbo
• Temperature: 0
• Max Tokens: None
• Timeout: None
• Max Retries: 2
• Default Input Language: English
• Default Output Language: German

Usage

1. Run the Application:

   python app.py
   

2. Access the Gradio Interface:

   Open the link provided in the terminal output to access the translation interface.

3. Using the TranslatorApp Package:

   You can use the translator-app package for programmatic access to the translation functionality. First, install the package:

   pip install translator-app==0.1
   

   Then, use the following code snippet to perform translations:

   from translator_app.config import Config
   from translator_app.translator import TranslatorApp
   
   # Initialize configuration
   config = Config()
   
   # Create a TranslatorApp instance with the configuration
   translator = TranslatorApp(config)
   
   # Perform a translation
   result = translator.perform_translations("Groq", "German", "Hello World")
   
   # Print the result
   print(result)
   

File Structure

GenAI-Translator/
│
├── src/
│   ├── __init__.py
│   ├── logger.py
│   ├── prompts.py
│
├── translator_app/
│   ├── __init__.py
│   ├── config.py
│   ├── api_client.py
│   ├── translator.py
│   └── gradio_interface.py
│
├── app.py
├── .env
├── requirements.txt
└── README.md

• src/: Contains core modules including logging and prompt templates.
• translator_app/: Contains configuration, API client, translation logic, and Gradio interface.
• app.py: Entry point to run the application.
• .env: Environment variables configuration file.
• requirements.txt: List of dependencies for the project.
• README.md: Project documentation.

API Documentation

• APIClient: Handles API communication for different language models.
• TranslatorApp: Manages translation logic and model interactions.
• GradioInterface: Provides a web interface for user interaction.

Contributing

We welcome contributions to the GenAI Translator project! To contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature/your-feature).
3. Commit your changes (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature/your-feature).
5. Create a new Pull Request.

Please ensure your code adheres to the project's style guidelines and includes appropriate tests.

License

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

Contact

For any questions or support, please contact:

• Author: Mohit Kumar
• Email: [e-mail]

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