Conversational AI with Image Recognition

This project is a conversational AI application that integrates image recognition capabilities. It uses a pre-trained model from the transformers library to generate responses based on user queries and images.

Features

• Load and display images
• Send text queries along with images
• Receive AI-generated responses based on the input image and query
• GUI built with Tkinter

Usage

1. Run the GUI application:

   python gui.py

2. Use the GUI to load an image, enter a query, and get a response from the AI.

Project Structure

• app.py: Contains the core logic for loading the model and processing images and queries.
• gui.py: Implements the graphical user interface using Tkinter.
• .gitignore: Specifies files and directories to be ignored by Git.

Dependencies

• transformers
• torch
• Pillow
• tkinter

License

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

Acknowledgements

• Hugging Face Transformers
• PyTorch
• Pillow
• Tkinter
• Qwen2-VL-7B-Instruct