Create app.py

app.py

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+import gradio as gr
+from diffusers import StableDiffusionPipeline
+import torch
+
+# Load the pre-trained Stable Diffusion model
+model_id = "runwayml/stable-diffusion-v1-5"
+pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+def generate_one_line_art(prompt):
+    # Generate an image based on the text prompt
+    image = pipe(prompt).images[0]
+    
+    # Convert the image to a simple one-line art (this is a placeholder)
+    # In practice, you would need a more sophisticated method to convert the image to one-line art.
+    # For simplicity, we'll just return the generated image.
+    
+    return image
+
+# Define the Gradio interface
+iface = gr.Interface(
+    fn=generate_one_line_art,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a text prompt..."),
+    outputs="image",
+    title="One-Line Art Generator",
+    description="Enter a text prompt to generate a simple one-line art."
+)
+
+# Launch the app
+iface.launch()