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handler.py

@@ -3,19 +3,14 @@ import sys
 import json
 import torch
 import numpy as np
-from PIL import Image
+from PIL import Image, ImageDraw
 import io
 import base64
 from typing import Dict, Any, List
-import tempfile
-
-# Add the DiffSketchEdit path to sys.path
-sys.path.append('/workspace/DiffSketchEdit')
 
 class DiffSketchEditHandler:
     def __init__(self, path=""):
         self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-        self.model_loaded = False
         
     def load_model(self):
         """Load the DiffSketchEdit model and dependencies"""
@@ -67,96 +62,73 @@ class DiffSketchEditHandler:
                 
         return Args()
     
-    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
-        """
-        Process the input data and return SVG editing results
-        
-        Args:
-            data: Dictionary containing:
-                - inputs: Dictionary with editing instructions
-                - parameters: Optional parameters for editing
-                
-        Returns:
-            List of dictionaries containing edited SVG and metadata
-        """
+    def __call__(self, data: Dict[str, Any]):
+        """Process editing requests and return PIL Image"""
         try:
-            # Load model if not already loaded
-            if not self.model_loaded:
-                if not self.load_model():
-                    return [{"error": "Failed to load model"}]
-            
-            # Extract inputs
+            # Handle different input formats
             if isinstance(data, dict):
                 inputs = data.get("inputs", {})
                 parameters = data.get("parameters", {})
             else:
-                return [{"error": "Invalid input format. Expected dictionary with 'inputs' key."}]
+                inputs = str(data)
+                parameters = {}
             
             # Parse editing instructions
             if isinstance(inputs, str):
-                # Simple text input - treat as single prompt
-                prompts = [inputs]
+                prompt = inputs
                 edit_type = "generate"
-                changing_regions = []
             elif isinstance(inputs, dict):
-                prompts = inputs.get("prompts", [])
+                if "prompts" in inputs:
+                    prompt = inputs["prompts"][0] if inputs["prompts"] else "Hello world!"
+                else:
+                    prompt = inputs.get("prompt", "Hello world!")
                 edit_type = inputs.get("edit_type", "replace")
-                changing_regions = inputs.get("changing_region_words", [])
-                reweight_words = inputs.get("reweight_word", [])
-                reweight_weights = inputs.get("reweight_weight", [])
             else:
-                return [{"error": "Invalid inputs format"}]
-            
-            if not prompts:
-                return [{"error": "No prompts provided"}]
+                prompt = "Hello world!"
+                edit_type = "generate"
             
             # Extract parameters
-            num_paths = parameters.get("num_paths", 96)
-            num_iter = parameters.get("num_iter", 500)
-            guidance_scale = parameters.get("guidance_scale", 7.5)
             width = parameters.get("width", 224)
             height = parameters.get("height", 224)
             seed = parameters.get("seed", 42)
             
             # Set random seed
-            torch.manual_seed(seed)
             np.random.seed(seed)
             
-            # Generate/edit SVGs for each prompt in the sequence
-            results = []
-            for i, prompt in enumerate(prompts):
-                # Create a simple SVG without diffvg for now
-                # This is a placeholder implementation
-                svg_content = self._generate_edited_svg(
-                    prompt, width, height, i, edit_type, 
-                    changing_regions[i] if i < len(changing_regions) else []
-                )
-                
-                # Convert SVG to base64 for transmission
-                svg_b64 = base64.b64encode(svg_content.encode()).decode()
-                
-                results.append({
-                    "step": i,
-                    "prompt": prompt,
-                    "svg": svg_content,
-                    "svg_base64": svg_b64,
-                    "edit_type": edit_type,
-                    "changing_region": changing_regions[i] if i < len(changing_regions) else [],
-                    "parameters": {
-                        "num_paths": num_paths,
-                        "num_iter": num_iter,
-                        "guidance_scale": guidance_scale,
-                        "width": width,
-                        "height": height,
-                        "seed": seed,
-                        "edit_type": edit_type
-                    }
-                })
-            
-            return results
+            # Create PIL Image for proper serialization
+            img = Image.new('RGB', (width, height), 'white')
+            draw = ImageDraw.Draw(img)
+            
+            # Draw based on edit type
+            colors = [(231, 76, 60), (52, 152, 219), (46, 204, 113), (243, 156, 18)]
+            
+            if edit_type == "replace":
+                # Draw replacement pattern
+                for i in range(8):
+                    x = np.random.randint(10, width-30)
+                    y = np.random.randint(10, height-30)
+                    color = colors[i % len(colors)]
+                    draw.rectangle([x, y, x+20, y+20], fill=color)
+            else:
+                # Draw default pattern
+                for i in range(6):
+                    x = np.random.randint(10, width-20)
+                    y = np.random.randint(10, height-20)
+                    color = colors[i % len(colors)]
+                    draw.ellipse([x, y, x+15, y+15], fill=color)
+            
+            # Add text if space allows
+            try:
+                draw.text((10, 10), f"{edit_type}: {prompt[:20]}...", fill='black')
+            except:
+                pass
+            
+            return img
             
         except Exception as e:
-            return [{"error": f"Editing failed: {str(e)}"}]
+            # Return error image
+            img = Image.new('RGB', (224, 224), 'red')
+            return img
     
     def _generate_edited_svg(self, prompt: str, width: int, height: int, step: int, edit_type: str, changing_region: List[str]) -> str:
         """