Create app.py

app.py

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+import random_face
+import gradio as gr 
+
+def mobileface(truncate, alpha):
+  engine = random_face.get_engine()
+  face = engine.get_random_face(truncate=truncate, alpha=alpha)
+  return face[:,:,::-1]
+
+inputs = [
+          gr.inputs.Checkbox(label="Truncate"),
+          gr.inputs.Slider(minimum=0, maximum=1, step=None, default=0.5, label="Alpha")
+          
+]
+
+outputs = gr.outputs.Image(type='numpy', label="Output Image")
+
+title = "MobileStyleGAN"
+description = "demo for MobileStylegan. To use it, simply click submit and optionally adjust alpha and truncation values. Read more below."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.04767'>MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis</a> | <a href='https://github.com/bes-dev/MobileStyleGAN.pytorch'>Github Repo</a></p>"
+
+
+
+gr.Interface(mobileface, inputs, outputs, title=title, description=description, article=article).launch()