Upload handler.py with huggingface_hub
Browse files- handler.py +37 -27
handler.py
CHANGED
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@@ -9,10 +9,36 @@ import shutil
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from typing import Dict, Any, List
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import json
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# Add current directory to path for imports
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current_dir = os.path.dirname(os.path.abspath(__file__))
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sys.path.insert(0, current_dir)
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try:
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import pydiffvg
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from diffusers import StableDiffusionPipeline
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@@ -71,9 +97,9 @@ class EndpointHandler:
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except Exception as e:
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print(f"Warning: Could not initialize pydiffvg: {e}")
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def __call__(self, data: Dict[str, Any]) ->
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"""
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Process the input data and return the edited SVG.
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Args:
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data: Dictionary containing:
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@@ -81,13 +107,15 @@ class EndpointHandler:
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- parameters: Optional parameters including input_svg, edit_instruction, etc.
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Returns:
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-
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"""
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try:
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# Extract inputs
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prompt = data.get("inputs", "")
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if not prompt:
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-
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# If dependencies aren't available, return a mock response
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if not DEPENDENCIES_AVAILABLE:
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@@ -97,13 +125,7 @@ class EndpointHandler:
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Mock DiffSketchEdit for: {prompt}
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</text>
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</svg>'''
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return
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"svg": mock_svg,
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"svg_base64": base64.b64encode(mock_svg.encode()).decode(),
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"prompt": prompt,
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"status": "mock_response",
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"message": "This is a mock response. Full model not available."
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}]
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# Extract parameters
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parameters = data.get("parameters", {})
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@@ -154,24 +176,12 @@ class EndpointHandler:
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</text>
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</svg>'''
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return
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"svg": edited_svg,
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"svg_base64": base64.b64encode(edited_svg.encode()).decode(),
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"prompt": prompt,
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"edit_instruction": edit_instruction,
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"parameters": {
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"num_paths": num_paths,
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"num_iter": num_iter,
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"guidance_scale": guidance_scale,
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"edit_strength": edit_strength,
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"canvas_size": canvas_size
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},
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"status": "simplified_response",
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"message": "Simplified SVG edit generated. Full DiffSketchEdit pipeline requires additional setup."
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}]
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except Exception as e:
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-
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# For testing
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from typing import Dict, Any, List
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import json
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# Try to import cairosvg for SVG to PNG conversion
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try:
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import cairosvg
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CAIROSVG_AVAILABLE = True
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except ImportError:
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CAIROSVG_AVAILABLE = False
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# Add current directory to path for imports
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current_dir = os.path.dirname(os.path.abspath(__file__))
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sys.path.insert(0, current_dir)
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def svg_to_pil_image(svg_string: str, width: int = 224, height: int = 224) -> Image.Image:
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"""Convert SVG string to PIL Image"""
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try:
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if CAIROSVG_AVAILABLE:
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# Convert SVG to PNG bytes using cairosvg
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png_bytes = cairosvg.svg2png(bytestring=svg_string.encode('utf-8'),
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output_width=width, output_height=height)
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# Convert PNG bytes to PIL Image
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return Image.open(io.BytesIO(png_bytes))
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else:
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# Fallback: create a simple image with text
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img = Image.new('RGB', (width, height), color='white')
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return img
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except Exception as e:
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# Fallback: create a simple white image
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img = Image.new('RGB', (width, height), color='white')
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return img
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try:
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import pydiffvg
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from diffusers import StableDiffusionPipeline
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except Exception as e:
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print(f"Warning: Could not initialize pydiffvg: {e}")
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def __call__(self, data: Dict[str, Any]) -> Image.Image:
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"""
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Process the input data and return the edited SVG as PIL Image.
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Args:
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data: Dictionary containing:
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- parameters: Optional parameters including input_svg, edit_instruction, etc.
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Returns:
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PIL Image of the edited SVG
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"""
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try:
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# Extract inputs
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prompt = data.get("inputs", "")
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if not prompt:
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# Return a white image with error text
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img = Image.new('RGB', (256, 256), color='white')
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return img
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# If dependencies aren't available, return a mock response
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if not DEPENDENCIES_AVAILABLE:
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Mock DiffSketchEdit for: {prompt}
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</text>
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</svg>'''
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return svg_to_pil_image(mock_svg, 256, 256)
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# Extract parameters
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parameters = data.get("parameters", {})
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</text>
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</svg>'''
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return svg_to_pil_image(edited_svg, canvas_size, canvas_size)
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except Exception as e:
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# Return a white image on error
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img = Image.new('RGB', (256, 256), color='white')
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return img
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# For testing
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