This is a simple Python-based chat bot that currently echoes user input. In the future, this project will be upgraded with natural language processing (NLP) features to turn it into a fully functional chat bot capable of engaging in dynamic conversations.
- Echo Bot: Currently, the bot simply echoes whatever the user inputs.
- Planned Upgrades: Future plans include adding natural language processing to understand and respond intelligently to user input.
- Customizable: Easily extendable to support new functionality.
To run the echo bot locally, you'll need to have the following installed:
- Python 3.7+ (preferably in a virtual environment)
- Pip (Python's package installer)
- Clone the repository:
git clone https://github.com/yourusername/chat_bot.git
- Navigate to project directory: cd chat_bot
- Install dependencies: pip install -r requirements.txt
To start the chat bot (which currently echoes input), simply run: python chat_bot.py
Hello! I am your echo bot. Type something and I'll repeat it.
Hello, bot! Hello, bot!
- Natural Language Processing: Integrating NLP libraries like NLTK, spaCy, or GPT-3 to allow the bot to understand and respond to user input in a meaningful way.
- Custom Responses: The bot will be able to offer personalized or helpful responses based on the context of the conversation.
- Machine Learning: Future versions might incorporate machine learning to improve the bot’s performance over time based on user interactions.
- Python: The main programming language for this project.
- Other Libraries: [List any other libraries you're using.]
- Fork the repository.
- Create a new branch (git checkout -b feature-branch).
- Make your changes.
- Commit your changes (git commit -m 'Add feature').
- Push to the branch (git push origin feature-branch).
- Open a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.
- The README is written to reflect that the bot is currently an echo bot, with future upgrades planned for adding more sophisticated chatbot features like NLP.
- The Future Improvements section specifically highlights plans for further development.
- The rest of the structure is typical for a project README, including installation instructions, usage, and contribution guidelines.
Just copy and paste this into your README.md file in your project folder!