app.py

import gradio as gr
from docling.datamodel.base_models import InputFormat
from docling.datamodel.pipeline_options import PdfPipelineOptions
from docling.document_converter import DocumentConverter, PdfFormatOption
from docling_core.types.doc import ImageRefMode
from pathlib import Path
import os

# Define the document converter
pipeline_options = PdfPipelineOptions()
pipeline_options.do_ocr = True
pipeline_options.do_table_structure = True
pipeline_options.table_structure_options.do_cell_matching = True
pipeline_options.generate_picture_images = True

doc_converter = DocumentConverter(
    format_options={
        InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options)
    }
)

def convert_to_markdown(file):
    # Use the file-like object directly
    input_path = Path(file.name)

    # Convert the document
    result = doc_converter.convert(str(input_path))

    # Prepare output directory
    output_dir = Path("output")
    output_dir.mkdir(exist_ok=True)

    # Save result as markdown
    doc_filename = result.input.file.stem
    md_filename = output_dir / f"{doc_filename}-with-images.md"
    result.document.save_as_markdown(md_filename, image_mode=ImageRefMode.REFERENCED)

    # Load the markdown content
    with open(md_filename, 'r', encoding='utf-8') as f:
        markdown_content = f.read()

    return markdown_content

# Create Gradio interface with type="file"
iface = gr.Interface(
    fn=convert_to_markdown,
    inputs=gr.File(label="Upload your document", type="file"),
    outputs="markdown",
    title="Document to Markdown Converter",
    description="Upload a document (e.g., PDF, DOCX, PPTX) and get its Markdown version."
)

if __name__ == "__main__":
    iface.launch()