🌐 Multilingual Sentiment Analyzer

Multilingual text sentiment analysis using the nlptown/bert-base-multilingual-uncased-sentiment model from Hugging Face 🤗
Supports text input in multiple languages including Indonesian, English, Spanish, Japanese, and more 🌍

Powered by 🤗 Transformers + Gradio UI

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🚀 Live Demo

👉 Try it on Hugging Face Spaces

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🎯 Features

• 🔤 Multilingual Input — Supports sentiment analysis for many languages
• 🧠 Star-based Sentiment Classification (1–5 stars), mapped to:
  • 1–2 stars → Negative 😠
  • 3 stars → Neutral 😐
  • 4–5 stars → Positive 😊
• 💻 Interactive Web UI built with Gradio
• 📊 Confidence Score displayed in percentage

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🧠 Model Used

• nlptown/bert-base-multilingual-uncased-sentiment
  Trained to classify sentiment from 1 to 5 stars in various languages.

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💻 Running Locally

Follow the steps below to run this project locally on your machine:

# 1. Clone the repository
git clone https://github.com/Ryurex/sentiment-multilingual.git
cd sentiment-multilingual

# 2. (Optional but recommended) Create and activate a virtual environment
python -m venv venv

# For Windows
.\venv\Scripts\activate

# For Linux/Mac
source venv/bin/activate

# 3. Install required dependencies
pip install -r requirements.txt

# 4. Run the application
python app.py