ChatBot with Natural Language Processing

Overview

• This project implements a ChatBot using a neural network in Python, leveraging Natural Language Processing (NLP) techniques, Bag of Words model, and preprocessing methods like tokenization and stemming.

Technologies Used

• NLTK: Natural Language Toolkit for various NLP tasks.

• PyTorch: Deep learning library for building and training neural networks.

• NumPy: Fundamental package for scientific computing with Python.

Project Structure

• train.py: Python script for training the neural network with the provided data.

• chat.py: Python script to initialize and run the ChatBot.

• model.py: Contains the feedforward neural network model with two hidden layers.

• nltk_utils.py: Includes functions for preprocessing the data.

• intents.json: Document containing the training data.

How to Use

Training the Model

python train.py

Initializing the ChatBot

To start the ChatBot, use the following command:

python chat.py

Dependencies

Make sure to install the necessary dependencies by running:

pip install nltk torch numpy 

Notes

• Ensure that the NLTK data is downloaded before running the scripts: uncomment # nltk.download('punkt')