Erika AI is a desktop chatbot application built using Python. It allows users to interact with an AI model (like OpenAI's GPT models or Groq AI models) in real-time, providing a smooth and visually appealing chat interface. The AI model used is configurable via the config.py file.

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Appilcation DEMO

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Features

• Modern GUI built with CustomTkinter.
• Supports custom background and header images.
• AI responses typed out character by character for a realistic chat experience.
• Supports any API-compatible AI model.
• Easy to configure via a config.py file.
• User-friendly interface.

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Installation

1. Clone the repository:

git clone https://github.com/KrishnaSingh-bit/Erika-AI-Chatbot.git
cd Erika-AI-Chatbot

2. Install the required dependencies:

pip install -r requirements.txt

Dependencies include:

• customtkinter
• Pillow
• requests

Add your API credentials in config.py:

# config.py
API_KEY = "YOUR_API_KEY"
API_URL = "YOUR_API_URL"
MODEL = "YOUR_MODEL_NAME"
Model_name = "YOUR_MODEL_DISPLAY_NAME"
Make sure to replace the placeholders with your actual API credentials.

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Usage

Run the main application:

python main.py

• The GUI will open with a welcome message from Erika AI.
• Type your message in the input box and press Enter or click the Send button.
• Erika AI will respond in the chat box.

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Folder Structure

Erika-AI-Chatbot/
│
├── images/                  # Contains background, logo, and button images
|   ├── app.gif
│   ├── background.png
│   ├── logo.ico
|   ├── logo.png
│   ├── logo1.png
│   └── send1.png
│
├── Erika AI Chatbot.py                  # Main application file
├── config.py                # API configuration file
├── requirements.txt         # Python dependencies
└── README.md

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Contributing

Fork the repository.

• Create a new branch: git checkout -b feature-name
• Make your changes and commit: git commit -m "Description of change"
• Push to the branch: git push origin feature-name
• Create a pull request.

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Author

Krishna Singh GitHub

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Notes

• Make sure your AI API supports the same request format as defined in AIChat() function.
• For faster AI responses, reduce or remove the typing delay in display_message() function.

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