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# coding: utf-8
# Copyright (C) 2022, [Breezedeus](https://github.com/breezedeus).
from PIL import Image
import streamlit as st
from pix2text import set_logger, Pix2Text
logger = set_logger()
st.set_page_config(layout="wide")
@st.cache(allow_output_mutation=True)
def get_model():
return Pix2Text()
def main():
p2t = get_model()
title = '开源工具 <a href="https://github.com/breezedeus/pix2text">Pix2Text</a> Demo'
st.markdown(f"<h1 style='text-align: center;'>{title}</h1>", unsafe_allow_html=True)
subtitle = '作者：<a href="https://github.com/breezedeus">breezedeus</a>； ' \
'欢迎加入 <a href="https://cnocr.readthedocs.io/zh-cn/stable/contact/">交流群</a>'
st.markdown(f"<div style='text-align: center;'>{subtitle}</div>", unsafe_allow_html=True)
st.markdown('')
st.subheader('选择待识别图片')
content_file = st.file_uploader('', type=["png", "jpg", "jpeg", "webp"])
if content_file is None:
st.stop()
try:
img = Image.open(content_file).convert('RGB')
img.save('ori.jpg')
out = p2t(img)
logger.info(out)
st.markdown('##### 原始图片：')
cols = st.columns([1, 3, 1])
with cols[1]:
st.image(content_file)
st.subheader('识别结果：')
st.markdown(f"* **图片类型**：{out['image_type']}")
st.markdown("* **识别内容**：")
cols = st.columns([1, 3, 1])
with cols[1]:
st.text(out['text'])
if out['image_type'] == 'formula':
st.markdown(f"$${out['text']}$$")
except Exception as e:
st.error(e)
if __name__ == '__main__':
main()
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