Delete handler_template.py with huggingface_hub

handler_template.py

@@ -1,65 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-
-import os
-import base64
-import torch
-import numpy as np
-from PIL import Image
-import io
-
-class BaseHandler:
-    def __init__(self):
-        """Initialize the handler with model-specific configurations"""
-        self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-        self.model = None
-        self.initialized = False
-        
-    def initialize(self):
-        """Load model and other resources"""
-        # This method should be implemented by each specific handler
-        raise NotImplementedError
-        
-    def preprocess(self, data):
-        """Preprocess the input data"""
-        # This method should be implemented by each specific handler
-        raise NotImplementedError
-        
-    def inference(self, inputs):
-        """Run inference with the preprocessed inputs"""
-        # This method should be implemented by each specific handler
-        raise NotImplementedError
-        
-    def postprocess(self, inference_output):
-        """Post-process the model output"""
-        # This method should be implemented by each specific handler
-        raise NotImplementedError
-        
-    def __call__(self, data):
-        """Handle a request to the model"""
-        # Initialize the model if not already done
-        if not self.initialized:
-            self.initialize()
-            
-        # Process the request
-        preprocessed_data = self.preprocess(data)
-        inference_output = self.inference(preprocessed_data)
-        output = self.postprocess(inference_output)
-        
-        return output
-        
-    def encode_image(self, image):
-        """Encode a PIL Image to base64"""
-        buffered = io.BytesIO()
-        image.save(buffered, format="PNG")
-        img_str = base64.b64encode(buffered.getvalue()).decode("utf-8")
-        return img_str
-        
-    def decode_image(self, image_str):
-        """Decode a base64 string to PIL Image"""
-        img_data = base64.b64decode(image_str)
-        return Image.open(io.BytesIO(img_data))
-        
-    def svg_to_base64(self, svg_content):
-        """Convert SVG content to base64"""
-        return base64.b64encode(svg_content.encode("utf-8")).decode("utf-8")