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f77a9a3
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Parent(s):
bab3281
Add document text extraction functionality using Extractous and Gradio
Browse files
app.py
ADDED
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import gradio as gr
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from extractous import Extractor, TesseractOcrConfig
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def extract_document(file):
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"""
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Extract text and metadata from an uploaded document
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"""
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if file is None:
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return "Please upload a file", "No metadata available"
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try:
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# Create an extractor with default settings
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extractor = Extractor()
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# Optional: Add OCR config for image-based or scanned documents
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extractor = extractor.set_ocr_config(TesseractOcrConfig().set_language("eng"))
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# Extract text and metadata
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result, metadata = extractor.extract_file_to_string(file)
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return result, str(metadata)
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except Exception as e:
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return f"Error extracting document: {str(e)}", "No metadata available"
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# Create the Gradio interface
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demo = gr.Interface(
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fn=extract_document,
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inputs=gr.File(label="Upload Document"),
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outputs=[
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gr.Textbox(label="Extracted Text", lines=10),
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gr.Textbox(label="Metadata", lines=3),
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],
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title="Document Text Extraction Demo",
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description="""
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Upload a document to extract its text content and metadata using Extractous.
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**Supported formats include:**
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- PDF files (with OCR support)
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- Microsoft Office (DOC, DOCX, PPT, PPTX, etc.)
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- Web Documents (HTML, XML)
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- Text Files (TXT, Markdown)
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- Images (with OCR capability)
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- And more
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""",
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article="""
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This demo showcases document text and metadata extraction capabilities.
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For more information, visit [Extractous on GitHub](https://github.com/yobix-ai/extractous).
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""",
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examples=[
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["2412.13663v2.pdf"], # Add example files to demo directory
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],
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)
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if __name__ == "__main__":
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demo.launch()
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