app.py

import gradio as gr


def image_generation(model, number_of_images=1):
    Images = 0
    return f"generating {number_of_images} images from {model}"

if __name__ == "__main__":

    inputs = gr.inputs.Radio(["Abstract Expressionism", "Impressionism", "Cubism", "Minimalism", "Pop Art", "Color Field", "Hana Hanak houses"])
    outputs = gr.outputs.Image(label="Output Image")

    title = "Projected GAN for painting generation"
    description = "choose your artistic direction "
    article = "<p style='text-align: center'><a href='https://github.com/autonomousvision/projected_gan'>Official projected GAn github repo + paper</a> | <a href='https://github.com/facebookresearch/pytorch_GAN_zoo/blob/master/models/DCGAN.py'>Github Repo</a></p>"



    gr.Interface(image_generation, inputs, outputs, title=title, article = article, 
    description=description, analytics_enabled=False).launch(debug=True)

    app, local_url, share_url = iface.launch()