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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) if languages else None, 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"]],
]
with gr.Blocks(title=title) as demo:
gr.Markdown(f'<h1 style="text-align: center; margin-bottom: 1rem;">{title}</h1>')
gr.Markdown(description)
with gr.Row():
with gr.Column():
image = gr.Image(type="filepath", label="Input")
language_choices = pytesseract.get_languages(config='--tessdata-dir ./tessdata') # get available languages from tessdata prefix
with gr.Accordion("Languages", open=False):
languages = gr.CheckboxGroup(language_choices, type="value", value=["eng", "shn"], label='language')
with gr.Row():
btn_clear = gr.ClearButton([image, languages])
btn_submit = gr.Button(value="Submit", variant="primary")
with gr.Column():
text = gr.Textbox(label="Output")
btn_submit.click(tesseract_ocr, inputs=[image, languages], outputs=text, api_name="tesseract-ocr")
btn_clear.add(text)
gr.Examples(
examples=examples,
inputs=[image, languages],
)
gr.Markdown(article)
if __name__ == '__main__':
demo.launch()
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