Initial commit

app.py

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+from PIL import Image
+import tensorflow
+import gradio as gr
+from tensorflow.keras.models import load_model
+model = load_model('model')
+def infer(img):
+  cartoonGAN = model.signatures["serving_default"]
+  img = np.array(img.convert("RGB"))
+  img = np.expand_dims(img, 0).astype(np.float32) / 127.5 - 1
+  out = cartoonGAN(tf.constant(img))['output_1']
+  out = ((out.numpy().squeeze() + 1) * 127.5).astype(np.uint8)
+  return out
+
+  
+title = "CartoonGAN"
+description = "Gradio Demo for AnimeGanv2 Face Portrait. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please use a cropped portrait picture for best results similar to the examples below."
+
+#description = "Gradio Demo for AnimeGanv2 Face Portrait. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below. Please use a cropped portrait picture for best results similar to the examples below."
+iface = gr.Interface(infer, gr.inputs.Image(type="pil"), "image",title=title,description=description)
+iface.launch()

model/saved_model.pb

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+version https://git-lfs.github.com/spec/v1
+oid sha256:91ee0cf957489e48506c40ef2aea41e0484a331ece6b5ca5aa12c15bf594e339
+size 2082535

model/variables/variables.data-00001-of-00002

@@ -0,0 +1,4 @@
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