Fails to run

[TernaryM01]

Just installed the app and ran texify_gui. Upon uploading a PDF file, it says:
AttributeError: module 'streamlit.elements.image' has no attribute 'image_to_url'

[zHElEARN]

same issue

[hengmamath]

Same Issue for me.

[doreori]

yep same

[cy948]

I fix it with older version of streamlit

pip install streamlit==1.40.2

[curious-energy]

I using the version is: streamlit==1.41.1
and I only call the API for texify.

Here is a simple code example:

import os
from PIL import Image, ImageGrab
import streamlit as st
from texify.inference import batch_inference
from texify.model.model import load_model
from texify.model.processor import load_processor

# how to use
# streamlit run .\texify_app.py
# clipboard image load using F5 or refresh the page,
# click convert, and copy the latex code where you want.

if __name__ == '__main__':
    st.set_page_config(page_title='LaTeX-OCR')
    st.title('LaTeX OCR')
    st.markdown('Convert images of equations to corresponding LaTeX code.')
    image_container = st.empty()
    im = ImageGrab.grabclipboard()
    import time
    time.sleep(0.1)

    # modify with you local file path
    flie_path = "D:\\Miniconda\\envs\\texocr\\doc\\clipboard\\grab_clipboard.jpg"

    if isinstance(im, Image.Image):
        print("Image: size : %s, mode: %s" % (im.size, im.mode))
        image_container.image(im)
        im.save(flie_path)
    else:
        print("clipboard is empty")
    
    if os.path.exists(flie_path):
        if st.button('Convert'):
            with st.spinner('Computing'):
                try:
                    model = load_model()
                    processor = load_processor()

                    image = Image.open(flie_path)
                    latex_code = batch_inference([image], model, processor)
                    # print(latex_code)
                    st.code(latex_code[0], language='latex')
                    st.markdown(latex_code[0])
                except Exception as e:
                    st.error('Failed Convert!')
    else:
        st.info('Please copy an image to your clipboard first, then click "Use Clipboard"')

maybe a useful video link

[curious-energy]

I using the version is: streamlit==1.41.1 and I only call the API for texify.

Here is a simple code example:

import os
from PIL import Image, ImageGrab
import streamlit as st
from texify.inference import batch_inference
from texify.model.model import load_model
from texify.model.processor import load_processor

# how to use
# streamlit run .\texify_app.py
# clipboard image load using F5 or refresh the page,
# click convert, and copy the latex code where you want.

if __name__ == '__main__':
    st.set_page_config(page_title='LaTeX-OCR')
    st.title('LaTeX OCR')
    st.markdown('Convert images of equations to corresponding LaTeX code.')
    image_container = st.empty()
    im = ImageGrab.grabclipboard()
    import time
    time.sleep(0.1)

    # modify with you local file path
    flie_path = "D:\\Miniconda\\envs\\texocr\\doc\\clipboard\\grab_clipboard.jpg"

    if isinstance(im, Image.Image):
        print("Image: size : %s, mode: %s" % (im.size, im.mode))
        image_container.image(im)
        im.save(flie_path)
    else:
        print("clipboard is empty")
    
    if os.path.exists(flie_path):
        if st.button('Convert'):
            with st.spinner('Computing'):
                try:
                    model = load_model()
                    processor = load_processor()

                    image = Image.open(flie_path)
                    latex_code = batch_inference([image], model, processor)
                    # print(latex_code)
                    st.code(latex_code[0], language='latex')
                    st.markdown(latex_code[0])
                except Exception as e:
                    st.error('Failed Convert!')
    else:
        st.info('Please copy an image to your clipboard first, then click "Use Clipboard"')

maybe a useful video link

It works fine in Windows 11 test. If other systems use it, you need to modify the supported clipboard interface.