LingoLens: Translator & Sentiment Analysis

LingoLens is a Streamlit-based web application that provides two powerful language tools:

1. Language Translation: Translate text between a wide range of languages using the deep-translator library.
2. Sentiment Analysis: Analyze the sentiment (positive, neutral, or negative) of a given text using TextBlob.

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Features

• Language Translation:
  Translate text in real-time into over 100+ languages with the help of GoogleTranslator.

• Sentiment Analysis:
  Determine the sentiment polarity of a given text (positive, neutral, or negative).

• User-Friendly Interface:
  Built with Streamlit, the app is clean, intuitive, and easy to use.

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🛠️ Technologies Used

• Python
• Streamlit: For building the user interface.
• TextBlob: For sentiment analysis.
• Deep-Translator: For multi-language translation.

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🚀 Getting Started

Prerequisites

Make sure you have Python 3.7 or higher installed on your machine.

Installation

1. Clone the repository:

   git clone https://github.com/arya-io/LingoLens.git
   cd LingoLens

2. Install the required libraries:

   pip install -r requirements.txt

3. Run the app:

   streamlit run app.py

4. Open the app in your browser at http://localhost:8501.

📁 File Structure

LingoLens/
│
├── app.py                  # Main Streamlit app file
├── language_options.py     # Language codes and their mappings
├── requirements.txt        # List of required libraries
└── README.md               # Project documentation

📚 Supported Languages

• Includes over 100+ languages for translation. See the full list in language_options.py.

🎯 Future Enhancements

• Add more NLP features, such as text summarization.
• Enhance translation functionality with support for additional APIs.
• Integrate a database for logging translations and sentiment results.

🤝 Contributing

Contributions are welcome! If you'd like to contribute:

1. Fork this repository.
2. Create a new branch:

   git checkout -b feature-name

3. Make your changes and commit:

   git commit -m "Add feature-name"

4. Push your branch:

   git push origin feature-name

5. Create a pull request.

📄 License

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

🙌 Acknowledgments

• Streamlit: For providing an easy-to-use framework for building web apps.
• TextBlob: For sentiment analysis tools.
• Deep-Translator: For multilingual translation capabilities.