README.md

metadata

title: Multilingual ABSA
emoji: 🎯
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.14.0
app_file: app.py
pinned: false
license: mit

Multilingual ABSA

Real-time aspect-based sentiment analysis for English, Hindi, Hinglish product reviews.

🔗 Live Demo on Hugging Face Spaces 📦 GitHub repo

Run Locally

git clone https://github.com/Aryanmishra-dev/Multilingual-Absa
cd Multilingual-Absa
pip install -r requirements.txt
python app.py

Open http://localhost:7860

What it does

Extracts aspects (e.g. "battery", "camera") and their sentiment (positive/negative/neutral) from product reviews in 3 languages.

Language	F1	Latency p95
English	78.1%	185 ms
Hindi	67.8%	185 ms

ONNX INT8 quantized → FP32 → rule-based fallback.

Stack

• Gradio 4.44 (UI)
• ONNX Runtime (inference)
• XLM-RoBERTa (multilingual backbone)
• SQLite (prediction history)

License

MIT