Update app.py

app.py

@@ -4,6 +4,7 @@ os.system("hub install UGATIT_100w==1.0.0")
 import gradio as gr
 import paddlehub as hub
 import numpy as np
+from PIL import Image
 
 model = hub.Module(name='UGATIT_100w', use_gpu=False)
 
@@ -12,11 +13,11 @@ def inference(image):
     result = model.style_transfer(paths=[image.name])
     print(type(result[0]))
     print(result[0])
-    return (result[0]* 255).astype(np.uint8).convert('RGB')
+    return Image.fromarray(np.uint8(result[0])).convert('RGB')
     
 title = "UGATIT-selfie2anime"
 description = "Gradio demo for DeOldify. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below."
 article = "<p style='text-align: center'><a href='https://github.com/jantic/DeOldify' target='_blank'>Github Repo</a></p>"
 examples=[['pearl.png']]
-iface = gr.Interface(inference, inputs=gr.inputs.Image(type="file"), outputs=gr.outputs.Image(type="numpy"),examples=examples,enable_queue=True,title=title,article=article,description=description)
+iface = gr.Interface(inference, inputs=gr.inputs.Image(type="file"), outputs=gr.outputs.Image(type="pil"),examples=examples,enable_queue=True,title=title,article=article,description=description)
 iface.launch()