Generative AI Chat App

This project is a Graphical User Interface (GUI) chat application built using Tkinter that allows users to interact with a large language model powered by Google Generative AI. The application provides a user-friendly interface for engaging in conversations with the AI and exploring its capabilities.

Features

• Interactive Chat: Users can type messages and receive responses from the AI model in real-time.
• Emoji Support: A button is available to insert emojis into chat messages, enhancing expressiveness.
• Scrolled Text History: The chat history is displayed in a scrollable text box, allowing users to review past conversations.
• Safety Measures: The AI model is configured with safety settings to mitigate potential risks of harmful content.
• Exit Commands: Users can type "exit" or "quit" to terminate the chat session.

New Features and Changes

• Dynamic Subject Naming: Automatically names session files based on the chat subject.
• Auto-Saving: Chat messages are saved automatically without the need for explicit commands.
• Time Stamping: Each message in the chat history is timestamped with the current time.
• Time Box Display: A small box displays the current time during the chat session.
• Visual Indication of AI Replies: AI-generated responses are displayed in a different color for easy differentiation.
• Emoji Selection: Users can insert emojis into their messages using a pop-up emoji selection menu.
• Improved Emoji Button: The emoji button in the input box offers a more intuitive way to access emojis.
• Graceful Shutdown: Closes the visual window and terminates the Python process upon exiting the chat.
• Environmental Configuration: Utilizes a .env file to manage API keys securely.
• Enhanced Error Handling: Error messages are displayed in a distinct color for better visibility.
• Dependency Management: New dependency added: python-dotenv for managing environment variables.

Technologies Used

• Python: The primary programming language used for the application.
• Tkinter: A Python library for creating graphical user interfaces.
• google-generativeai: The official Python client library for interacting with Google Generative AI models.
• python-dotenv: A Python library for managing environment variables.

Installation Instructions

1. Clone the repository:

   git clone https://github.com/MdSagorMunshi/GenerativeAIChatApp.git

2. Change Directory

   cd GenerativeAIChatApp

3. Install the required libraries:

   pip install -r requirements.txt

4. Obtain a Google Generative AI API Key: Follow the instructions on the Google Generative AI Studio to obtain an API key. Once you have the API key, create a file named .env in your project directory and add the following line to it:

   API_KEY=YOUR_API_KEY_HERE
   

   Replace YOUR_API_KEY_HERE with your actual API key. This file will securely store your API key and ensure it is not exposed in your code.

5. Verify the Model Name:
   Ensure that the model_name variable in the code is set to a valid Generative AI model name. You can find available models and their names in the Google Generative AI documentation.

6. Run the application:

   python chat_gui.py 

Usage Instructions

1. Launch the application: Run the chat_gui.py file.
2. Start chatting: Type your messages into the entry box and press Enter to send them to the AI.
3. Use emojis: Click the emoji button to select and insert emojis into your messages.
4. Review chat history: Scroll through the text box to see previous messages.
5. Exit the chat: Type "exit" or "quit" and press Enter to end the conversation and close the application.

Contribution Guidelines

(Optional) If you'd like others to contribute to your project, you can add a section outlining how they can do so. This might include information on:

• How to report bugs or suggest features
• How to submit pull requests
• Coding style guidelines

FAQ

• Q: What generative AI models does this app support?
  • A: Currently, the app is configured to work with the gemini-1.5-pro-latest model. However, you can modify the code to use other generative models supported by the google.generativeai library. Ensure you have the correct model name and API key.
• Q: How do I get an API key?
  • A: You can obtain an API key by signing up for Google Generative AI and following their instructions.
• Q: Can I contribute to this project?
  • A: Absolutely! Feel free to fork the repository, make improvements, and submit pull requests.

License

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