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import base64 |
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import io |
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from PIL import Image, ImageDraw |
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import json |
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class EndpointHandler: |
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def __init__(self, path=""): |
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self.path = path |
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self.initialized = False |
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def __call__(self, data): |
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"""Handle a request to the model.""" |
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if not self.initialized: |
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self.initialize() |
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if data is None: |
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return None |
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inputs = self.preprocess(data) |
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outputs = self.inference(inputs) |
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return self.postprocess(outputs) |
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def initialize(self): |
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"""Initialize the handler.""" |
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self.initialized = True |
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def preprocess(self, request): |
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"""Process the input request.""" |
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if isinstance(request, str): |
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prompt = request |
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payload = {"prompt": prompt} |
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elif isinstance(request, dict): |
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payload = request |
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else: |
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try: |
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payload = json.loads(request) |
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except: |
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payload = {"prompt": str(request)} |
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return payload |
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def inference(self, inputs): |
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"""Generate vector graphics from the inputs.""" |
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prompt = inputs.get("prompt", "") |
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if not prompt: |
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prompts = inputs.get("prompts", [""]) |
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prompt = prompts[0] if prompts else "" |
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svg = f""" |
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<svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"> |
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<rect width="512" height="512" fill="#f0f0f0"/> |
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<text x="256" y="50" font-family="Arial" font-size="20" text-anchor="middle" fill="#333">Generated from: "{prompt}"</text> |
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<g transform="translate(256, 256)"> |
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<circle cx="0" cy="0" r="100" fill="#3498db" opacity="0.7"/> |
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<rect x="-50" y="-50" width="100" height="100" fill="#e74c3c" opacity="0.7"/> |
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<path d="M-100,-100 L100,100 M-100,100 L100,-100" stroke="#2c3e50" stroke-width="5"/> |
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</g> |
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</svg> |
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""" |
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img = Image.new("RGB", (512, 512), color="#f0f0f0") |
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draw = ImageDraw.Draw(img) |
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draw.ellipse((156, 156, 356, 356), fill="#3498db", outline="#3498db") |
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draw.rectangle((206, 206, 306, 306), fill="#e74c3c", outline="#e74c3c") |
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draw.line((156, 156, 356, 356), fill="#2c3e50", width=5) |
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draw.line((156, 356, 356, 156), fill="#2c3e50", width=5) |
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buffered = io.BytesIO() |
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img.save(buffered, format="PNG") |
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img_str = base64.b64encode(buffered.getvalue()).decode() |
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return {"svg": svg, "image": img_str} |
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def postprocess(self, inference_output): |
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"""Return the output as JSON.""" |
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return inference_output |
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