app.py

from typing import List

import pytesseract
from PIL import Image
import gradio as gr

def tesseract_ocr(filepath: str, keyword: str):
    # Load the image and perform OCR
    image = Image.open(filepath)
    extracted_text = pytesseract.image_to_string(image=image)
    
    # Highlight the keyword in the extracted text
    if keyword:
        highlighted_text = extracted_text.replace(keyword, f"<mark>{keyword}</mark>")
    else:
        highlighted_text = extracted_text
    
    return highlighted_text

title = "Tesseract OCR"
description = "Gradio demo for Tesseract. Tesseract is an open-source text recognition (OCR) Engine."
article = "<p style='text-align: center'><a href='https://tesseract-ocr.github.io/' target='_blank'>Tesseract documentation</a> | <a href='https://github.com/tesseract-ocr/tesseract' target='_blank'>Github Repo</a></p>"



demo = gr.Interface(
    fn=tesseract_ocr, 
    inputs=[
        gr.Image(type="filepath", label="Upload Image for OCR"), 
        gr.Textbox(label="Keyword to Highlight", placeholder="Enter a keyword...")  # Keyword input
        ],
    outputs='html',
    title=title,
    description=description,
    article=article,
)

if __name__ == '__main__':
    demo.launch()
    print("Finished running")