app.py

import gradio as gr
from PIL import Image
import pytesseract
import re

def perform_ocr(image):
    extracted_text = pytesseract.image_to_string(image, lang='hin+eng')
    return extracted_text

def search_and_highlight(text, keyword):
    highlighted_text = re.sub(f"({keyword})", r"<mark>\1</mark>", text, flags=re.IGNORECASE)
    return highlighted_text

def ocr_and_search(image, keyword):
    if image is None:
        return "Please upload an image."

    extracted_text = perform_ocr(image)
    
    if keyword:
        highlighted_text = search_and_highlight(extracted_text, keyword)
        return highlighted_text
    else:
        return extracted_text

iface = gr.Interface(
    fn=ocr_and_search,  
    inputs=[
        gr.Image(type="pil", label="Upload Image"),  
        gr.Textbox(label="Enter keyword to search (optional)") 
    ],
    outputs=gr.HTML(label="Extracted and Highlighted Text"),
    title="OCR and Keyword Search",
    description="Upload an image for OCR processing and search for keywords in the extracted text."
)

iface.launch()