Gray To Color Image Translation

# Gray-to-Color-Image-Translation This project implements a Pix2Pix Generative Adversarial Network (GAN) model to convert black and white images to color images. The Pix2Pix GAN is a deep learning architecture used for various image-to-image translation tasks.    ## Requirements To run this app, you need to have the following Python libraries installed: - Streamlit (`pip install streamlit`) - TensorFlow (`pip install tensorflow`) - NumPy (`pip install numpy`) - Matplotlib (`pip install matplotlib`) ## Usage 1. Clone the repository or download the app files. 2. Make sure you have installed the required dependencies mentioned above. 3. Open a terminal or command prompt and navigate to the directory containing `app.py`. 4. Run the following command to start the Streamlit app: ``` streamlit run app.py ``` 5. Once the app is running, open your web browser and go to `http://localhost:{PORT}`. 6. Upload the image which you want to colourize and click on convert ## NOTE - As this model trains on CelabA dataset that's why it is only able to colorize the faces of humans ## Acknowledgments - The CelebA dataset for providing the celebrity face images for training the Pix to pix model. - TensorFlow and Keras for their excellent machine learning frameworks. - Streamlit for making it easy to build interactive web applications with Python. ## Contact If you have any questions or suggestions, feel free to contact us at [email protected]. Enjoy generating celebrity faces with GAN on Streamlit!

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