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model.py

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+
+import torch
+import base64
+from PIL import Image, ImageDraw
+import io
+
+class VectorGraphicsModel:
+    def __init__(self):
+        self.device = "cuda" if torch.cuda.is_available() else "cpu"
+        
+    def __call__(self, prompt, negative_prompt="", num_paths=96, guidance_scale=7.5, seed=42):
+        """Generate vector graphics from a text prompt."""
+        # This is a placeholder implementation
+        # In a real scenario, this would call the actual model
+        
+        # Generate a simple SVG
+        svg = f"""
+        <svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512">
+            <rect width="512" height="512" fill="#f0f0f0"/>
+            <text x="256" y="50" font-family="Arial" font-size="20" text-anchor="middle" fill="#333">Generated from: "{prompt}"</text>
+            <g transform="translate(256, 256)">
+                <circle cx="0" cy="0" r="100" fill="#3498db" opacity="0.7"/>
+                <rect x="-50" y="-50" width="100" height="100" fill="#e74c3c" opacity="0.7"/>
+                <path d="M-100,-100 L100,100 M-100,100 L100,-100" stroke="#2c3e50" stroke-width="5"/>
+            </g>
+        </svg>
+        """
+        
+        # Create a simple PNG image
+        img = Image.new("RGB", (512, 512), color="#f0f0f0")
+        draw = ImageDraw.Draw(img)
+        draw.ellipse((156, 156, 356, 356), fill="#3498db", outline="#3498db")
+        draw.rectangle((206, 206, 306, 306), fill="#e74c3c", outline="#e74c3c")
+        draw.line((156, 156, 356, 356), fill="#2c3e50", width=5)
+        draw.line((156, 356, 356, 156), fill="#2c3e50", width=5)
+        
+        # Convert image to base64
+        buffered = io.BytesIO()
+        img.save(buffered, format="PNG")
+        img_str = base64.b64encode(buffered.getvalue()).decode()
+        
+        return {"svg": svg, "image": img_str}
+
+def pipeline():
+    """Return the model pipeline."""
+    return VectorGraphicsModel()