https://github.com/sidd-77/style-transfer

https://github.com/sidd-77/style-transfer

python streamlit tensorflow2

Last synced: 13 days ago
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• Host: GitHub
• URL: https://github.com/sidd-77/style-transfer
• Owner: Sidd-77
• Created: 2024-03-20T06:12:52.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-03-25T06:48:49.000Z (11 months ago)
• Last Synced: 2024-03-25T20:22:01.022Z (11 months ago)
• Topics: python, streamlit, tensorflow2
• Language: Jupyter Notebook
• Homepage: https://neural-style-transferr.streamlit.app/
• Size: 88.6 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Neural Style Transfer

This project is a Neural Style Transfer application that allows users to apply the style of one image to another. It uses a pre-trained model from TensorFlow Hub to perform the style transfer.

## Tech Stack

- **Streamlit**: A fast, efficient, and easy-to-use framework for building web applications.

- **TensorFlow**: An end-to-end open source platform for machine learning.

- **TensorFlow Hub**: A repository of pre-trained TensorFlow models.

## Running the Project Locally

1. Clone the repository to your local machine:

```bash

git clone https://github.com/Sidd-77/style-transfer.git

```

2. Navigate to the project directory:

```bash

cd style-transfer

```

3. Install required dependencies:

```bash

pip install -r requirements.txt

```

4. Run the Streamlit application:

```bash

streamlit run app.py

```

The application should be now running at ```http://localhost:8501```