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