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import gradio as gr
from PIL import Image
import re
import os
import sys
import pytesseract
# Set Tesseract path if needed (uncomment and modify if Tesseract is not in PATH)
# pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract"
def ocr_image(image):
try:
# Ensure the image is in RGB mode
image = image.convert('RGB')
# Perform OCR with Tesseract (supports both English and Hindi)
text = pytesseract.image_to_string(image, lang='eng+hin')
return text
except Exception as e:
return f"OCR Error: {str(e)}"
def search_text(text, keyword):
if not keyword:
return "Please enter a keyword to search."
# Perform case-insensitive search
pattern = re.compile(re.escape(keyword), re.IGNORECASE)
matches = pattern.finditer(text)
# Highlight matches and get surrounding context
results = []
for match in matches:
start = max(0, match.start() - 20)
end = min(len(text), match.end() + 20)
context = text[start:end]
highlighted = pattern.sub(f"<mark>{match.group()}</mark>", context)
results.append(f"...{highlighted}...")
if results:
return "<br><br>".join(results)
else:
return "No matches found."
def process_image(image, keyword):
if image is None:
return "Please upload an image.", ""
extracted_text = ocr_image(image)
search_results = search_text(extracted_text, keyword) if "OCR Error" not in extracted_text else ""
return extracted_text, search_results
# Debug information
print(f"Python version: {sys.version}")
print(f"Tesseract version: {pytesseract.get_tesseract_version()}")
print(f"Tesseract path: {pytesseract.pytesseract.tesseract_cmd}")
# Create the Gradio interface
iface = gr.Interface(
fn=process_image,
inputs=[
gr.Image(type="pil", label="Upload Image"),
gr.Textbox(label="Search Keyword")
],
outputs=[
gr.Textbox(label="Extracted Text"),
gr.HTML(label="Search Results")
],
title="OCR and Keyword Search",
description="Upload an image with English text, and optionally provide a keyword to search within the extracted text."
)
# Launch the app
iface.launch(share=True)
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