Upload custom_handler_diffsketcher.py with huggingface_hub

custom_handler_diffsketcher.py

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+
+from typing import Dict, Any
+import torch
+import base64
+import io
+import os
+import json
+from PIL import Image
+
+class EndpointHandler:
+    def __init__(self, path=""):
+        # Initialize device
+        self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+        print(f"Initializing diffsketcher handler on {self.device}")
+        
+    def __call__(self, data: Dict[str, Any]) -> Dict[str, str]:
+        # Extract prompt from the input data
+        prompt = data.get("prompt", "")
+        if not prompt and "prompts" in data:
+            prompts = data.get("prompts", [""])
+            prompt = prompts[0] if prompts else ""
+        
+        # Generate a placeholder SVG
+        svg = f'<svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><text x="50%" y="50%" dominant-baseline="middle" text-anchor="middle" font-size="20">diffsketcher: {prompt}</text></svg>'
+        
+        # Create a placeholder image
+        image = Image.new('RGB', (512, 512), color = (100, 100, 100))
+        
+        # Convert the image to base64
+        buffered = io.BytesIO()
+        image.save(buffered, format="PNG")
+        img_str = base64.b64encode(buffered.getvalue()).decode()
+        
+        # Return the results
+        return {
+            "svg": svg,
+            "image": img_str
+        }