osalama7/nlp-flask-api

nlp-flask-api

# Python API

This is a Python API built with Flask for performing sentiment analysis on text data.

## Table of Contents

- [Introduction](#introduction)
- [Getting Started](#getting-started)
- [API Endpoints](#api-endpoints)
- [Usage](#usage)
- [Dependencies](#dependencies)
- [Contributing](#contributing)
- [License](#license)

## Introduction

This Python API is designed to perform sentiment analysis on text data. It uses machine learning to classify text into positive or negative sentiment categories. The API provides two main endpoints: one for training the sentiment analysis model and another for making predictions on text data.

## Getting Started

To get started with this API, follow these steps:

1. Clone this repository to your local machine:

   ```bash
   git clone https://github.com/yourusername/your-python-api.git

2. Navigate to the project directory:

   cd your-python-api

3. Install the required dependencies (see the Dependencies section).

4. Start the API by running:

   python app.py

5. The API should now be running and accessible at http://localhost:5000.

API Endpoints

Training the Model

• Endpoint: /api/nlp/logistic
• Method: POST
• Description: Train the sentiment analysis model by providing positive and negative training data.

Making Predictions

• Endpoint: /api/nlp/predict
• Method: POST
• Description: Make sentiment predictions on text data using the trained model.

Usage

To use this API, you can make HTTP POST requests to the provided endpoints. The API expects input data in JSON format, and it will return the results in JSON format as well. Here are some example use cases:

• Training the sentiment analysis model:

  curl -X POST -F "Arabic_tweets_positive=@positive_tweets.csv" -F "Arabic_tweets_negative=@negative_tweets.csv" http://localhost:5000/api/nlp/logistic

• Making predictions on text data:

  curl -X POST -H "Content-Type: application/json" -d '{"text": "This is a positive message."}' http://localhost:5000/api/nlp/predict

Dependencies

• Flask
• pandas
• numpy
• nltk
• requests

You can install these dependencies using pip:

pip install flask pandas numpy nltk requests

Contributing

If you would like to contribute to this project, please follow the standard GitHub workflow:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Create a pull request to the main repository.

License

This project is licensed under the MIT License. See the LICENSE file for details.

You can customize this README.md to provide more detailed information about your API, including specific API endpoints, request and response formats, and any additional details about how to use and contribute to the project.