🧠 Natural Language Processing API

A RESTful API for performing core NLP tasks such as sentiment analysis, named entity recognition, text summarization, keyword extraction, and language detection. Built using FastAPI and state-of-the-art NLP models from Hugging Face and spaCy.

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🚀 Features

• ✅ Sentiment Analysis
• ✅ Named Entity Recognition (NER)
• ✅ Text Summarization
• ✅ Keyword Extraction
• ✅ Language Detection
• 🔒 CORS & error handling
• 📝 Auto-generated API docs with Swagger/OpenAPI

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🛠️ Tech Stack

• Python 3.10+
• FastAPI
• spaCy / Hugging Face Transformers
• Pydantic
• Uvicorn (ASGI Server)
• Docker (optional)

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📦 Installation

1. Clone the repository

git clone https://github.com/Lucifer88484/Natural-Language-Processing-API.git
cd nlp-api

2. Create a virtual environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

4. Download required models

python -m spacy download en_core_web_sm

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🚀 Running the API

Development server

uvicorn app.main:app --reload

The API will be available at http://localhost:8000

Production server

uvicorn app.main:app --host 0.0.0.0 --port 8000

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📚 API Documentation

Once the server is running, you can access:

• Interactive API documentation: http://localhost:8000/docs
• OpenAPI specification: http://localhost:8000/openapi.json

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🧪 Running Tests

pytest

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📝 API Endpoints

Endpoint	Method	Description
/api/v1/sentiment	POST	Analyze sentiment of text
/api/v1/entities	POST	Extract named entities
/api/v1/summarize	POST	Generate text summary
/api/v1/language	POST	Detect language of text
/api/v1/keywords	POST	Extract keywords from text

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📄 License

Hrishikesh D. Mohite © 2025

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🤝 Contributing

Mail me at: [email protected]