🖼️ Image Cipher Generator with Streamlit 🔒

This repository contains a web application that allows users to apply a simple cipher or decipher images by shifting pixel values. The app is built using Streamlit and lets you securely encode and decode images with ease.

📚 Table of Contents

• ✨ Features
• 🚀 Demo
• 🛠️ Installation
• 📝 Usage
• 🧰 Technologies Used
• 🙏 Acknowledgments
• 🤝 Connect with Me

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✨ Features

• 🖼️ Upload images in JPG, JPEG, or PNG formats.
• 🔐 Cipher Images: Encode images by shifting pixel values.
• 🔓 Decipher Images: Decode previously ciphered images.
• 📈 Adjustable Shift Value for the cipher and decipher operations.
• 💾 Download the processed image.
• 💻 Interactive web interface built with Streamlit.

🚀 Demo

You can try a live demo of the application by uploading an image and applying a cipher or decipher operation.

🛠️ Installation

To run this application locally, follow these steps:

Prerequisites

Make sure you have the following installed:

• Python 3.8 or higher

Steps

1. Clone the repository:

   git clone https://github.com/yourusername/image-cipher-generator.git
   cd image-cipher-generator

2. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # For macOS and Linux
   venv\Scripts\activate     # For Windows

3. Install dependencies:

   pip install -r requirements.txt

4. Run the Streamlit app:

   streamlit run app.py

5. Open the application in your browser:

   http://localhost:8501
   

📝 Usage

1. Open the app in your browser.
2. 🖼️ Upload an image using the "Choose an image..." button.
3. Select a shift value using the slider (default is 50).
4. Choose to Cipher or Decipher the image.
5. The app will display the processed image.
6. 📥 Download the ciphered or deciphered image.

🧰 Technologies Used

• 🖥️ Streamlit - For building the web application interface.
• 🧪 NumPy - For numerical operations on image arrays.
• 🖼️ PIL (Pillow) - For handling image processing.
• 🔢 Python - For the application backend.

🙏 Acknowledgments

This project uses Streamlit for the UI and Pillow for image handling.

🤝 Connect with Me

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• 

Thank You