Sentiment Analysis API

A Flask-based REST API for sentiment analysis using the BERT model.

Setup

1. Create a virtual environment:

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

2. Install dependencies:

pip install -r requirements.txt

3. Create a .env file (optional):

FLASK_DEBUG=False
FLASK_HOST=0.0.0.0
FLASK_PORT=5000

Running the Application

python app.py

The API will be available at http://localhost:5000

API Endpoints

GET /

• Health check endpoint
• Returns: "Hello, World!"

GET /api/v1/hello

• Test endpoint
• Returns: {"message": "Hello, API!"}

POST /api/v1/data

• Sentiment analysis endpoint
• Request body:

{
    "data": {
        "text": "Your text here"
    }
}

• Returns: Sentiment analysis results

Project Structure

.
├── app.py              # Main application entry point
├── config.py           # Configuration settings
├── requirements.txt    # Project dependencies
├── routes/            # API routes
│   └── sentiment_routes.py
└── services/          # Business logic
    └── sentiment_service.py