https://github.com/arya-io/lingolens
A Streamlit app for language translation and sentiment analysis powered by GoogleTranslator and TextBlob.
https://github.com/arya-io/lingolens
ai datascience deeptranslator machinelearning nlp pythonproject sentimentanalysis textblob textprocessing webapp
Last synced: 2 months ago
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A Streamlit app for language translation and sentiment analysis powered by GoogleTranslator and TextBlob.
- Host: GitHub
- URL: https://github.com/arya-io/lingolens
- Owner: arya-io
- License: mit
- Created: 2024-11-20T17:28:01.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-11-23T17:57:02.000Z (6 months ago)
- Last Synced: 2025-01-22T17:24:49.777Z (4 months ago)
- Topics: ai, datascience, deeptranslator, machinelearning, nlp, pythonproject, sentimentanalysis, textblob, textprocessing, webapp
- Language: Python
- Homepage: https://lingolen.streamlit.app/
- Size: 14.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 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`.
---
## 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.
---
## 🛠️ Technologies Used
- **Python**
- **Streamlit**: For building the user interface.
- **TextBlob**: For sentiment analysis.
- **Deep-Translator**: For multi-language translation.
---
## 🚀 Getting Started
### Prerequisites
Make sure you have Python 3.7 or higher installed on your machine.
### Installation
1. Clone the repository:
```bash
git clone https://github.com/arya-io/LingoLens.git
cd LingoLens
2. Install the required libraries:
```bash
pip install -r requirements.txt
3. Run the app:
```bash
streamlit run app.py
4. Open the app in your browser at http://localhost:8501.
## 📁 File Structure
```bash
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:
```bash
git checkout -b feature-name
3. Make your changes and commit:
```bash
git commit -m "Add feature-name"
4. Push your branch:
```bash
git push origin feature-name
5. Create a pull request.
## 📄 License
This project is licensed under the MIT License. See the [LICENSE](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.