Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+from PIL import Image
+
+# Load the image-to-image model from Hugging Face
+model = pipeline("image-to-image")
+
+def generate_ai_image(image):
+    # Convert the image to an AI-generated image
+    ai_image = model(image)[0]
+    return ai_image
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_ai_image,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Image(type="pil"),
+    title="AI Image Generator",
+    description="Upload a normal picture and convert it to an AI-generated image."
+)
+
+# Run the app
+if __name__ == "__main__":
+    iface.launch()