Create app.py

app.py

@@ -0,0 +1,47 @@
+import torch
+from PIL import Image
+import numpy as np
+from realesrgan import RealESRGAN
+import os
+import gradio as gr
+os.system("gdown https://drive.google.com/uc?id=1pG2S3sYvSaO0V0B8QPOl1RapPHpUGOaV -O RealESRGAN_x2.pth")
+os.system("gdown https://drive.google.com/uc?id=1SGHdZAln4en65_NQeQY9UjchtkEF9f5F -O RealESRGAN_x4.pth")
+os.system("gdown https://drive.google.com/uc?id=1mT9ewx86PSrc43b-ax47l1E2UzR7Ln4j -O RealESRGAN_x8.pth")
+
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+model2 = RealESRGAN(device, scale=2)
+model2.load_weights('RealESRGAN_x2.pth')
+model4 = RealESRGAN(device, scale=4)
+model4.load_weights('RealESRGAN_x4.pth')
+model8 = RealESRGAN(device, scale=8)
+model8.load_weights('RealESRGAN_x8.pth')
+
+
+def inference(image: Image, size: str) -> Image:
+    if size == '2x':
+        result = model2.predict(image.convert('RGB'))
+    elif size == '4x':
+        result = model4.predict(image.convert('RGB'))
+    else:
+        result = model8.predict(image.convert('RGB'))
+    return result
+
+
+title = "Face Real ESRGAN: 2x 4x 8x"
+description = "Increases the resolution of a photo. This model shows better results on faces compared to the original version."
+article = ""
+
+gr.Interface(inference,
+    [gr.inputs.Image(type="pil"), 
+    gr.inputs.Radio(['2x', '4x', '8x'], 
+    type="value", 
+    default='2x', 
+    label='Resolution model')], 
+    gr.outputs.Image(type="pil", label="Output"),
+    title=title,
+    description=description,
+    article=article,
+    examples=[['groot.jpeg', "2x"]],
+    allow_flagging='never',
+    theme="default",
+    ).launch(enable_queue=True)