Chatbot with Deep Learning

Overview

Welcome to the Chatbot with Deep Learning project! This repository contains the code and resources to build an intelligent chatbot using deep learning techniques. The chatbot leverages natural language processing (NLP) and neural network models to understand and respond to user queries in a human-like manner.

Features

• Natural Language Understanding: Processes and comprehends user inputs using NLP techniques.
• Neural Network Architecture: Utilizes deep learning models such as LSTM or Transformer for generating responses.
• Contextual Awareness: Maintains context during a conversation for coherent interactions.
• Scalable and Extensible: Easily extendable to include more intents and responses.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/chatbot-with-deep-learning.git
   cd chatbot-with-deep-learning

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

Usage

1. Training the Model:

   • Prepare your dataset in the data/ directory.
   • Run the training script:

     python train.py

2. Running the Chatbot:

   • Start the chatbot:

     python chatbot.py

   • Interact with the chatbot through the command line interface or integrate it with a messaging platform.

Project Structure

chatbot-with-deep-learning/
│
├── data/
│   └── intents.json        # Sample dataset for training
│
├── models/
│   └── chatbot_model.h5    # Saved model
│
├── src/
│   ├── preprocess.py       # Data preprocessing script
│   ├── train.py            # Model training script
│   ├── chatbot.py          # Chatbot application script
│   └── utils.py            # Utility functions
│
├── requirements.txt        # List of dependencies
├── README.md               # Project documentation
└── config.yaml             # Configuration file

Contributing

We welcome contributions to improve the chatbot! Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Create a Pull Request.

Contact

If you have any questions or suggestions, feel free to open an issue or reach out to ([email protected]).

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Thank you for checking out the Chatbot with Deep Learning project! We hope you find it useful and look forward to your contributions.