Chatbot with PyTorch

A simple chatbot project implemented using PyTorch, designed to provide a basic understanding of building chatbots with neural networks.

Features

• Training Script: Train the chatbot using PyTorch with a feedforward neural network.
• Inference Script: Interact with the trained chatbot in a simple command-line interface.
• Modular Structure: Organized project structure with separate modules for dataset, model, and utilities.
• Requirements File: requirements.txt file included for easy installation of dependencies.

Dependencies

• Python 3.x
• PyTorch
• torchvision
• Other dependencies specified in requirements.txt

Installation

1. Clone the repository:

   git clone https://github.com/https://github.com/DaveSimoes/Web-Scraping.git/chatbot-pytorch.git

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Train the chatbot:

   python train_chatbot.py

2. Interact with the chatbot:

   python chatbot_app.py

3. Follow the on-screen instructions to chat with the trained chatbot.

Configuration

• Adjust hyperparameters (e.g., input_size, hidden_size1, hidden_size2) in the training script according to your needs.
• Customize the intents.json file in the data directory to define different intents and responses for your chatbot.

License

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