ChatBot Response Generator

This is an open-source project aimed at creating a response generator for chatbots. It allows developers to define various types of responses and integrate them into their chatbot applications.

Tech/Framework Used

Built with Python, Flask, and NLTK library for natural language processing.

Screenshots and Demo

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Tech/Framework Used

• Python
• Rasa Framework

Getting Started

To get started with this project, follow these steps:

1. Clone the repository:

   git clone https://github.com/your-username/rasa-response-generator.git
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Define Responses: Edit the responses.py file to define your custom responses.

4. Integrate with Rasa: Integrate the generated responses into your Rasa chatbot by importing the responses.py module.

5. Train and Run: Train your Rasa chatbot using the integrated responses and run it to start interacting with users.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow these steps:

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

Acknowledgements

• Thanks to Rasa for providing the framework for building conversational AI chatbots.