Arabic Chatbot Using Transformer Models

This repository contains the implementation of an Arabic chatbot that leverages transformer models to facilitate natural and engaging conversations in Arabic.

Table of Contents

• Introduction
• Features
• Installation
• Usage

Introduction

The goal of this project is to develop a conversational chatbot designed specifically for Arabic speakers. The chatbot utilizes the power of transformer models, such as BERT or GPT, to understand and generate responses in Arabic, ensuring natural and meaningful interactions.

Features

• Transformer-based architecture: Leverages state-of-the-art models for natural language understanding and generation.
• Arabic language support: Tailored specifically for Arabic, including support for dialects and complex sentence structures.
• Engaging conversations: Designed to provide human-like and contextually relevant responses.

Installation

To run this project, you need to have Python installed along with the required dependencies.

1. Clone this repository:

   git clone https://github.com/eyabesbes/NLP.git
   cd NLP

2. Install the required dependencies when necessary:

   pip install -r requirements.txt

3. (Optional) If using Jupyter Notebook, ensure you have it installed:

   pip install notebook

Usage

1. Open the Jupyter Notebook:

   jupyter notebook

2. Navigate to the notebook file containing the chatbot implementation (e.g., chatbot.ipynb).

3. Run the cells step-by-step to load the model and interact with the chatbot.