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---
title: Sentiment Reveal
emoji: π
sdk: gradio
sdk_version: "4.37.2"
app_file: app.py
license: mit
---
# Sentiment Reveal
**Sentiment Reveal** is a powerful and intuitive sentiment analysis application designed to analyze product reviews and other text data from eCommerce platforms. It supports multiple languages and provides detailed sentiment feedback, helping businesses understand customer feedback more effectively.
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## π Features
- **Multilingual Support:** Analyzes text in English, Dutch, German, French, Italian, and Spanish.
- **Detailed Sentiment Analysis:** Classifies sentiment into five levels: Very Negative, Negative, Neutral, Positive, and Very Positive.
- **Confidence Score:** Provides a confidence score for each prediction.
- **User-Friendly Interface:** Simple and clean interface built with Gradio.
- **Theme Support:** Optimized for both light and dark themes.
## π How It Works
This application is powered by `nlptown/bert-base-multilingual-uncased-sentiment`, a pre-trained BERT model fine-tuned for sentiment analysis on a 1-5 star rating scale. The model is capable of understanding and interpreting nuances in the text across multiple languages.
## π οΈ Getting Started
### Prerequisites
- Python 3.7+
- `pip` for package management
### Installation
1. **Clone the repository:**
```bash
git clone https://github.com/your-username/SentimentReveal.git
cd SentimentReveal
```
2. **Create and activate a virtual environment (recommended):**
```bash
python -m venv venv
source venv/bin/activate # On Windows, use `venv\Scripts\activate`
```
3. **Install the dependencies:**
```bash
pip install -r requirements.txt
```
### Running the Application
Once the dependencies are installed, you can run the application with the following command:
```bash
python app.py
```
The application will be available at a local URL (e.g., `http://127.0.0.1:7860`).
## πΌ Benefits
- **Understand Customer Feedback:** Quickly gauge customer opinions from reviews.
- **Improve Products & Services:** Identify areas for improvement based on sentiment.
- **Monitor Brand Reputation:** Keep track of how your brand is perceived across different languages.
## π€ Contributing
Contributions are welcome! If you have any suggestions or find any bugs, please open an issue or submit a pull request.
## π License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.
---
### Deploy
If you would like to deploy this app on your own server or customize it further for your needs, feel free to reach out. |