Create app.py

app.py

@@ -0,0 +1,24 @@
+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()
+
+