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Browse files- .gitattributes +0 -1
- .gitignore +158 -0
- app.py +115 -0
- requirements.txt +6 -0
.gitattributes
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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.gitignore
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# Created by .ignore support plugin (hsz.mobi)
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### Python template
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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.pytest_cache
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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# *.manifest
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# *.spec
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*.res
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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#idea
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.vs
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.vscode
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.idea
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/images
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/models
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#models
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*.onnx
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*.ttf
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*.ttc
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long1.jpg
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*.bin
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*.mapping
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*.xml
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*.pdiparams
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*.pdiparams.info
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*.pdmodel
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.DS_Store
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app.py
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# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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from pathlib import Path
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import numpy as np
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import streamlit as st
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from PIL import Image
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from rapid_latex_ocr import LatexOCR
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from streamlit_cropper import st_cropper
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from streamlit_image_select import image_select
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st.set_option("deprecation.showfileUploaderEncoding", False)
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class RecEquation:
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def __init__(self, model_dir: str):
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model_dir = Path(model_dir)
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image_resizer_path = model_dir / "image_resizer.onnx"
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encoder_path = model_dir / "encoder.onnx"
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decoder_path = model_dir / "decoder.onnx"
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tokenizer_json = model_dir / "tokenizer.json"
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self.model = LatexOCR(
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image_resizer_path=str(image_resizer_path),
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encoder_path=str(encoder_path),
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decoder_path=str(decoder_path),
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tokenizer_json=str(tokenizer_json),
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)
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def __call__(self, img: np.ndarray):
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result, elapse = self.model(img)
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return result, elapse
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if __name__ == "__main__":
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st.markdown(
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"<h1 style='text-align: center;'><a href='https://github.com/RapidAI/RapidLatexOCR' style='text-decoration: none'>Rapid Latex OCR</a></h1>",
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unsafe_allow_html=True,
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)
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st.markdown(
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"""
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<p align="left">
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<a href=""><img src="https://img.shields.io/badge/Python->=3.6,<3.12-aff.svg"></a>
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<a href=""><img src="https://img.shields.io/badge/OS-Linux%2C%20Win%2C%20Mac-pink.svg"></a>
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<a href="https://pepy.tech/project/rapid_latex_ocr"><img src="https://static.pepy.tech/personalized-badge/rapid_latex_ocr?period=total&units=abbreviation&left_color=grey&right_color=blue&left_text=Downloads"></a>
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<a href="https://pypi.org/project/rapid_latex_ocr/"><img alt="PyPI" src="https://img.shields.io/pypi/v/rapid_latex_ocr"></a>
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<a href="https://semver.org/"><img alt="SemVer2.0" src="https://img.shields.io/badge/SemVer-2.0-brightgreen"></a>
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<a href="https://github.com/psf/black"><img src="https://img.shields.io/badge/code%20style-black-000000.svg"></a>
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</p>
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""",
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unsafe_allow_html=True,
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)
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# Upload an image and set some options for demo purposes
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img_file = st.sidebar.file_uploader(label="Upload a file", type=["png", "jpg"])
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realtime_update = st.sidebar.checkbox(label="Update in Real Time", value=False)
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box_color = st.sidebar.color_picker(label="Box Color", value="#0000FF")
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aspect_choice = st.sidebar.radio(
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label="Aspect Ratio", options=["Free", "1:1", "16:9", "4:3", "2:3"]
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)
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aspect_dict = {
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"Free": None,
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"1:1": (1, 1),
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"16:9": (16, 9),
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"4:3": (4, 3),
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"2:3": (2, 3),
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}
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aspect_ratio = aspect_dict[aspect_choice]
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with st.sidebar.container():
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img = image_select(
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label="Examples(click to select):",
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images=[
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"images/equation.png",
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"images/eq_2.png",
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"images/eq_3.png",
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"images/eq_4.png",
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],
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key="equation_default",
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use_container_width=False,
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)
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rec_eq_sys = RecEquation(model_dir="models")
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select_img_container = st.container()
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st.markdown("#### Select image:")
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img_empty = st.empty()
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img_empty.image(img, use_column_width=False)
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rec_res, elapse = rec_eq_sys(img)
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if img_file:
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img = Image.open(img_file)
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# Get a cropped image from the frontend
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with select_img_container:
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if not realtime_update:
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select_img_container.markdown("#### Double click to save crop")
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img = st_cropper(
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img,
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realtime_update=realtime_update,
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box_color=box_color,
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aspect_ratio=aspect_ratio,
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)
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img_empty.image(img, use_column_width=False)
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rec_res, elapse = rec_eq_sys(np.array(img))
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st.markdown(f"#### Rec result (cost: {elapse:.4f}s):")
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st.latex(rec_res)
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st.markdown("#### Latex source code:")
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st.code(rec_res)
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requirements.txt
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altair<5
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Pillow
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numpy
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rapid_latex_ocr
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streamlit_image_select
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streamlit_cropper
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