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| title: NLP Analysis API | |
| emoji: 🤖 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: docker | |
| pinned: false | |
| # NLP Analysis API | |
| A FastAPI-based backend service for: | |
| - 💬 Sentiment Analysis | |
| - 🏷️ Named Entity Recognition (NER) | |
| - 🌍 Translation (multiple languages) | |
| - ✍️ Text Paraphrasing | |
| - 📝 Text Summarization | |
| ## Features | |
| - Real-time text analysis using Hugging Face transformers | |
| - RESTful API with comprehensive documentation | |
| - Rate limiting and input validation | |
| - CORS enabled for web apps | |
| - Professional error handling | |
| ## API Endpoints | |
| - `GET /` - API status | |
| - `GET /health` - Health check with model status | |
| - `POST /analyze` - Sentiment analysis | |
| - `POST /ner` - Named entity recognition | |
| - `POST /translate` - Text translation | |
| - `POST /paraphrase` - Text paraphrasing | |
| - `POST /summarize` - Text summarization | |
| ## Usage | |
| Once deployed, visit the `/docs` endpoint for interactive API documentation (Swagger UI). | |
| Example request: | |
| ```bash | |
| curl -X POST "https://huggingface.co/spaces/karim323/nlp-analysis-api/analyze" \ | |
| -H "Content-Type: application/json" \ | |
| -d '{"text": "I love this product!"}' | |
| ``` | |
| ## Tech Stack | |
| - FastAPI | |
| - Hugging Face Transformers | |
| - PyTorch | |
| - Python 3.11 | |
| Built with ❤️ for the ML community | |