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41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from docling.datamodel.pipeline_options import OnnxtrOcrOptions, PdfPipelineOptions
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from docling.document_converter import (
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ConversionResult,
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DocumentConverter,
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InputFormat,
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PdfFormatOption,
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)
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def main():
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# Source document to convert
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source = "https://arxiv.org/pdf/2408.09869v4"
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ocr_options = OnnxtrOcrOptions(
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det_arch="db_mobilenet_v3_large",
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reco_arch="Felix92/onnxtr-parseq-multilingual-v1", # Model will be downloaded from Hugging Face Hub
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auto_correct_orientation=True, # This can be used to correct the orientation of the pages
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)
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pipeline_options = PdfPipelineOptions(
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ocr_options=ocr_options,
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)
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# Convert the document
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converter = DocumentConverter(
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format_options={
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InputFormat.PDF: PdfFormatOption(
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pipeline_options=pipeline_options,
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),
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},
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)
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conversion_result: ConversionResult = converter.convert(source=source)
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doc = conversion_result.document
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md = doc.export_to_markdown()
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print(md)
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if __name__ == "__main__":
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main()
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