noelmakubi/swahili-Chatbot-RuleBased

simple chatbot implemented in Python using natural language processing techniques. The chatbot utilizes NLTK (Natural Language Toolkit) library for tokenization and similarity calculation. The chatbot is built upon a knowledge base stored in a text file. It reads the file, splitting each line into a question and its corresponding answer pairs. # swahili-Chatbot-RuleBased Welcome to the Flask Chatbot repository! This project implements a simple chatbot using Flask and NLTK. The chatbot reads from a dataset to provide responses based on user input. ## Getting Started To get started with this project, follow these steps: 1. **Clone the repository:** ```bash github.com ``` 2. **Install dependencies:** ```bash pip install -r requirements.txt ``` 3. **Run the Flask application:** ```bash python app.py ``` ## Usage Once the Flask application is running, you can interact with the chatbot. Open your web browser and go to `localhost` to access the chat interface. ## Features - Interactive chat interface - Responses based on similarity matching using NLTK's Jaccard distance - Easy to extend with additional dataset ## Contributions Contributions are welcome! If you find any bugs or want to suggest enhancements, feel free to open an issue or submit a pull request. ## License This project is licensed under the GPL-2.0 license- see the LICENSE file for details.