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"""
Advanced usage example for the Custom PaliGemma OCR Model.
"""
from transformers import AutoModel
from PIL import Image
import json
def advanced_ocr_example():
"""Advanced OCR usage with custom prompts and batch processing."""
# Load model
model = AutoModel.from_pretrained("your-username/your-model-name", trust_remote_code=True)
# Example 1: Custom prompt for invoice
invoice_image = Image.open("invoice.jpg")
invoice_result = model.generate_ocr_text(
image=invoice_image,
prompt="<image>Extract all text and numbers from this invoice:",
max_length=1024
)
print("Invoice OCR Result:")
print(f"Text: {invoice_result['text']}")
print(f"Confidence: {invoice_result['confidence']:.3f}")
# Example 2: Batch processing
images = [
Image.open("doc1.jpg"),
Image.open("doc2.jpg"),
Image.open("doc3.jpg")
]
batch_results = model.batch_ocr(images)
print("\nBatch Processing Results:")
for i, result in enumerate(batch_results):
print(f"Document {i+1}: {result['text'][:50]}...")
print(f"Confidence: {result['confidence']:.3f}")
# Example 3: Model information
info = model.get_model_info()
print("\nModel Information:")
print(json.dumps(info, indent=2))
return batch_results
if __name__ == "__main__":
advanced_ocr_example()
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