app.py

import tempfile
import os
import streamlit as st
import paddlehub as hub
from PIL import Image
import io

pp_ocrv3 = hub.Module(name="ch_pp-ocrv3")

def inference(img):
  with tempfile.TemporaryDirectory() as tempdir_name:
    pp_ocrv3.recognize_text(paths=[img],use_gpu=False,output_dir=tempdir_name,visualization=True)
    result_names = os.listdir(tempdir_name)
    output_image = Image.open(os.path.join(tempdir_name, result_names[0]))
    return [output_image]
  
title="ch_PP-OCRv3"
description="ch_PP-OCRv3 is a practical ultra-lightweight OCR system developed by PaddleOCR."

examples=[['test.png']]


uploaded_file = st.file_uploader("Choose a file")
if uploaded_file is not None:
    # To read file as bytes:
    bytes_data = uploaded_file.getvalue()
    st.write(bytes_data)
    image = Image.open(io.BytesIO(bytes_data))
    st.image(image, caption='Sunrise by the mountains')