Gallery Chatbot

A modern web application that combines image gallery functionality with an AI-powered chatbot interface. This project allows users to upload, view, and interact with images while engaging in natural conversations about the visual content.

🌟 Features

• Image Gallery: Browse and view uploaded images in an organized gallery interface
• Image Upload: Support for uploading and managing images
• AI Chatbot: Interactive chatbot that can discuss and analyze images
• Modern UI: Clean and responsive user interface built with modern web technologies
• Vector Database: Efficient image storage and retrieval using vector database technology

📋 Table of Contents

• Installation
• Usage
• Project Structure
• Technologies Used
• Contributing
• License

🚀 Installation

Prerequisites

• Python 3.10 or higher
• pip (Python package installer)

1. Clone the repository:

git clone https://github.com/yourusername/gallery-chatbot.git
cd gallery-chatbot

2. Create and activate a virtual environment:

python -m venv .venv
# On Windows
.venv\Scripts\activate
# On Unix or MacOS
source .venv/bin/activate

3. Install dependencies:

pip install -r requirements.txt

4. Set up environment variables: Create a .env file in the root directory with the following variables:

API_KEY=your_api_key_here
IMAGE_DATA_FILE_PATH=path/to/image/storage

💻 Usage

1. Start the application:

python -m app.main

2. Open your web browser and navigate to:

http://localhost:8000

3. You can now:
   • Upload images through the upload interface
   • Browse the image gallery
   • Interact with the AI chatbot about the images

📁 Project Structure

gallery-chatbot/
├── app/
│   ├── api/            # API routes and endpoints
│   ├── config/         # Configuration settings
│   ├── services/       # Business logic and services
│   ├── static/         # Static files (CSS, JS, images)
│   ├── templates/      # HTML templates
│   ├── utils/          # Utility functions
│   ├── vectrodb_models/# Vector database models
│   └── main.py         # Application entry point
├── tests/              # Test files
├── .env               # Environment variables
├── requirements.txt   # Project dependencies
└── README.md         # Project documentation

🛠️ Technologies Used

• Backend Framework: FastAPI
• Frontend: HTML, CSS, JavaScript
• Database: Vector Database for image storage
• AI/ML:
  • CLIP for image understanding
  • LangChain for chatbot functionality
• Other Key Libraries:
  • uvicorn (ASGI server)
  • python-multipart (file uploads)
  • jinja2 (templating)

📄 License

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

🙏 Acknowledgments

• OpenAI for CLIP model
• FastAPI team for the excellent web framework
• All contributors and users of this project

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Made with ❤️ by [Saib Ahmed Emil]