Update app/utils.py
Browse files- app/utils.py +9 -6
app/utils.py
CHANGED
@@ -1,6 +1,7 @@
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from transformers import AutoModel, AutoTokenizer
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import os
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import torch
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class OCRModel:
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_instance = None
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@@ -12,30 +13,32 @@ class OCRModel:
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return cls._instance
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def initialize(self):
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# تحميل النموذج مرة واحدة وتخزينه محلياً
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model_path = os.getenv('MODEL_PATH', 'RufusRubin777/GOT-OCR2_0_CPU')
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self.tokenizer = AutoTokenizer.from_pretrained(
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model_path,
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trust_remote_code=True,
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local_files_only=False
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)
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self.model = AutoModel.from_pretrained(
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model_path,
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trust_remote_code=True,
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low_cpu_mem_usage=True,
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device_map='cpu',
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use_safetensors=True,
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pad_token_id=self.tokenizer.eos_token_id
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)
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self.model = self.model.eval()
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def process_image(self,
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try:
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return result
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except Exception as e:
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return f"Error processing image: {str(e)}"
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from transformers import AutoModel, AutoTokenizer
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import os
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import torch
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from PIL import Image
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class OCRModel:
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_instance = None
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return cls._instance
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def initialize(self):
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model_path = os.getenv('MODEL_PATH', 'RufusRubin777/GOT-OCR2_0_CPU')
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self.tokenizer = AutoTokenizer.from_pretrained(
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model_path,
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trust_remote_code=True,
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local_files_only=False
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)
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self.model = AutoModel.from_pretrained(
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model_path,
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trust_remote_code=True,
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low_cpu_mem_usage=True,
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+
device_map='cpu',
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use_safetensors=True,
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pad_token_id=self.tokenizer.eos_token_id
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)
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self.model = self.model.eval()
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+
def process_image(self, image_stream):
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try:
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# فتح الصورة من الذاكرة
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image = Image.open(image_stream)
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with torch.no_grad():
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result = self.model.chat(self.tokenizer, image, ocr_type='format')
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return result
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except Exception as e:
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return f"Error processing image: {str(e)}"
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