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from typing import List
import pytesseract
from PIL import Image
import gradio as gr
def tesseract_ocr(filepath: str, languages: List[str]):
image = Image.open(filepath)
oem_psm_config = '--oem 3 --psm 11 --tessdata-dir ./tessdata'
return pytesseract.image_to_string(image=image, lang='+'.join(languages), config=oem_psm_config)
title = "Shan Tesseract OCR"
description = "Gradio demo for Tesseract-OCR Shan. 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>"
examples = [
["examples/example2.png", ["eng", "shn"]],
["examples/example3.png", ["eng", "shn"]],
["examples/example4.png", ["eng", "shn"]],
["examples/example1.png", ["eng", "shn"]],
]
language_choices = pytesseract.get_languages(config='--tessdata-dir ./tessdata')
demo = gr.Interface(
fn=tesseract_ocr,
inputs=[
gr.Image(type="filepath", label="Input"),
gr.CheckboxGroup(language_choices, type="value", value=['eng'], label='language')
],
outputs='text',
title=title,
description=description,
article=article,
examples=examples,
)
if __name__ == '__main__':
demo.launch()
print("Finished running")
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