Create app.py

app.py

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+import gradio as gr
+import torch
+from torchvision import transforms
+from PIL import Image
+from animegan2_pytorch import AnimeGAN2
+
+# Load AnimeGAN model
+model = AnimeGAN2('face_paint_512_v2')
+device = "cuda" if torch.cuda.is_available() else "cpu"
+model = model.to(device)
+
+# Function to process images
+def convert_to_anime(image):
+    image = Image.fromarray(image)
+    image = transforms.ToTensor()(image).unsqueeze(0).to(device)
+    with torch.no_grad():
+        output = model(image)[0].cpu()
+    output = transforms.ToPILImage()(output)
+    return output
+
+# Gradio UI
+iface = gr.Interface(
+    fn=convert_to_anime,
+    inputs=gr.Image(type="numpy"),
+    outputs=gr.Image(type="pil"),
+    title="AnimeGAN Image Converter",
+    description="Upload an image to convert it into anime style!",
+)
+
+iface.launch()