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import os
from PIL import Image
import streamlit
os.system('pip install pix2tex')
from pix2tex.cli import LatexOCR
from munch import Munch
args = Munch({'config': 'settings/config.yaml',
'checkpoint': os.path.realpath(os.path.join(os.path.dirname(__file__), 'checkpoints/weights.pth')),
'no_resize': False})
model = LatexOCR(args)
if __name__ == '__main__':
streamlit.set_page_config(page_title='LaTeX-OCR')
streamlit.title('LaTeX OCR')
streamlit.markdown(
'Convert images of equations to corresponding LaTeX code.\n\nThis is based on the `pix2tex` module. Check it out [](https://github.com/lukas-blecher/LaTeX-OCR)')
uploaded_file = streamlit.file_uploader(
'Upload an image an equation',
type=['png', 'jpg'],
)
if uploaded_file is not None:
image = Image.open(uploaded_file)
streamlit.image(image)
else:
streamlit.text('\n')
if streamlit.button('Convert'):
if uploaded_file is not None and image is not None:
with streamlit.spinner('Computing'):
try:
latex_code = model(image)
streamlit.code(latex_code, language='latex')
streamlit.markdown(f'$\\displaystyle {latex_code}$')
except Exception as e:
streamlit.error(e)
else:
streamlit.error('Please upload an image.')
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