This project is a web-based chatbot application built using Django and the ChatterBot library. It provides a user-friendly interface for interacting with a conversational AI powered by pre-trained English language corpora. The chatbot processes user inputs via HTTP requests and responds dynamically using a best-match logic adapter.

• Web Interface: A clean, responsive front-end for seamless user interaction.
• COnversational AI: Leverages ChatterBot for natural language processing and response generation.
• RESTful API: Handles user messages via GET requests and returns JSON responses.
• Customizable Responses: Configurable default response for unrecognized inputs.
• Extensible Training: Supports additional training with custom corpora.

• Python 3.10.12
• Django
• ChatterBot==1.0.5
• PyYAML (included with ChatterBot)

1. Clone the Repo:

   https://github.com/alexander784/Python_chatbot.git
   cd Python_chatbot

2. Create a virtual env

    source venv/bin/activate

3. INstall dependecies

   pip install chatterbot==1.0.5
   

4. Apply migrations:

   python manage.py migrate
   

1. Start Django development server

   python3 manage.py runserver
   

2. Open your browser and navigate to http://127.0.0.1:8000 to access the chatbot interface.

3. Type messages in the provided input field to interact with the chatbot.

Front-End Template (chatbotapp/templates/chatbotapp/index.html)

A basic HTML template with JavaScript for handling user input and displaying responses is required. Refer to the project repository for the complete template.

Login Adapter: Uses BestMatch with a 0.9 similarity threshold for high-confidence responses.

Default Responses:Returns "Sorry am not conversate with that" for low-confidence matches.

Training Data: Pre-trained with chatterbot.corpus.english. Extend training by modifying the trainer.train() method.

Django Settings Ensure chatbotapp is added to INSTALLED_APPS in settings.py.

Contributions are always welcome! To contribute:

• Fork the repository.
• Create a new branch (git checkout -b feature-branch).
• 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.

• Django for the web framework.
• ChatterBot for the conversational AI framework.