A newer version of the Gradio SDK is available:
6.9.0
metadata
title: Transformer Sentiment Analysis
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: '4.0'
app_file: gradio_app.py
pinned: false
license: mit
tags:
- sentiment-analysis
- transformers
- pytorch
- nlp
- distilbert
- machine-learning
models:
- distilbert-base-uncased-finetuned-sst-2-english
datasets:
- imdb
- sst2
🤖 Transformer Sentiment Analysis
Advanced AI-powered sentiment analysis using state-of-the-art transformer models.
✨ Features
- Real-time Analysis: Instant sentiment classification with confidence scores
- Batch Processing: Analyze multiple texts simultaneously
- Interactive Visualizations: Probability distributions and analytics
- Professional Interface: Modern, responsive UI design
- Production-Ready: Optimized for performance and scalability
🧠 Model Details
- Architecture: DistilBERT (66M parameters)
- Performance: 74% accuracy on IMDB dataset
- Speed: ~100ms inference time
- Training: Fine-tuned on Stanford Sentiment Treebank
🚀 Tech Stack
- Framework: PyTorch + Hugging Face Transformers
- Interface: Gradio with custom CSS
- Backend: FastAPI with async support
- Deployment: Docker + Cloud platforms
🎯 Use Cases
- Social media monitoring
- Customer feedback analysis
- Market research insights
- Product review classification
🔗 Links
- GitHub Repository: Complete source code and documentation
- Live Demo: Try the interactive demo above
- Documentation: Comprehensive guides and API docs
Built with modern ML engineering practices including comprehensive testing, CI/CD, and scalable deployment configurations.