sasankaweera123 / website_chatbot

This project is a chatbot web application that uses PyTorch, Flask, and NLTK to provide a conversational interface for users to interact with the chatbot and receive responses based on predefined patterns and intents.

Chatbot Web Application

This is a chatbot web application built using Flask, PyTorch, and NLTK. It provides a chat interface where users can interact with the chatbot to get responses based on the provided patterns and intents.

Features

• Allows users to have a conversation with the chatbot.
• Provides responses based on the trained model and predefined intents.
• Handles user input and displays chat messages in real-time.

Prerequisites

• Python 3.6 or higher
• Flask
• PyTorch
• NLTK
• TorchVision

Getting Started

1. Clone the repository:

git clone https://github.com/sasankaweera123/website_chatbot.git

2. Install the required dependencies:

pip install -r requirements.txt

3. Train the chatbot model:

   • Update the intents.json file with your own intents, patterns, and responses.

   • Run the train_chatbot.py script to train the model:

     python train_chatbot.py

4. Run the web application:

python app.py

5. Open your browser and navigate to http://localhost:5000 to access the chatbot interface.

Usage

• Type your message in the input field and press Enter or click the Send button to send your message to the chatbot.
• The chat messages will be displayed in the chatbox.
• The chatbot will respond with an appropriate message based on the provided patterns and intents.

Customization

• To customize the chatbot behavior, update the intents.json file with your own intents, patterns, and responses.
• You can modify the HTML template (base.html) and CSS styles (style.css) to change the appearance of the chatbox interface.

License

Acknowledgments

• This project is based on the tutorial by patrickloeber on building a chatbot with PyTorch and Flask. Thank you for the helpful tutorial and code examples!