Neural Style Transfer

Welcome to the Neural Style Transfer app! This application allows you to apply artistic styles to your images using a deep learning model.

Features

• Upload Images: Choose a content image and a style image.
• Style Transfer: Apply the style of the uploaded style image to the content image.
• Visualize Results: View the styled output alongside the original images.

How to Use

1. Upload Content Image:

   • Select an image that you want to apply the style to.

2. Upload Style Image:

   • Select an image that provides the artistic style.

3. See the Result:

   • The application will process the images and display the styled result.

Requirements

• Python 3.x
• Streamlit
• TensorFlow
• TensorFlow Hub
• PIL (Pillow)
• NumPy

Installation

To set up the application, follow these steps:

1. Clone the Repository:

   git clone https://github.com/alihassanml/Neural-Style-Transfer.git

2. Navigate to the Directory:

   cd Neural-Style-Transfer

3. Install Dependencies:

   pip install streamlit tensorflow tensorflow_hub pillow numpy

4. Run the Application:

   streamlit run app.py

5. Open Your Browser:

   • Visit http://localhost:8501 to use the application.

Notes

• Ensure that your images are in JPG, JPEG, or PNG format.
• The images will be displayed at a reduced size to fit the layout.

Author

• Ali Hassan - alihassanml

License

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