app.py

"""
@author: idoia lerchundi
"""
import urllib.request
from PIL import Image,ImageFile
import streamlit as st
import numpy as np
import requests
from io import BytesIO
import easyocr as ocr 

def local_css(file_name):
    with open(file_name) as f:
        st.markdown(f"<style>{f.read()}</style>", unsafe_allow_html=True)

st.set_page_config(
   page_title="Streamlit iCodeIdoia - Image2OCR Extract text from an image"
)

st.image("images/banner.jpg")

# ---- LOAD
local_css("styles/style.css")

@st.cache_resource
def load_model(): 
    reader = ocr.Reader(['en'],model_storage_directory='.',gpu=False)
    return reader 

reader = load_model() #load model

# ---- TABS
tab1, tab2 = st.tabs(["Demo","Application"])

with tab1:   
   # Handle first image
   
   url = "https://raw.githubusercontent.com/webdevserv/image2OCR/main/images/ocr.jpg"

   st.subheader("OCR an image demo")
   img_description = st.text('Image text will extracted using OCR.')

   if st.button('OCR Demo'):  
    response = requests.get(url)
    img = Image.open(BytesIO(response.content))
    img.load()
    st.image(img) #display image

    with st.spinner("🔄 OCR in process."):
        result = reader.readtext(np.array(img))
        result_text = [] #empty list
        for text in result:
            result_text.append(text[1])

        st.write(result_text)
    st.balloons()
   else:
    st.write("Upload an image to extract text using OCR.")

   
with tab2:
  st.subheader("OCR an image app")
  img_description = st.text('Image text will be extracted using OCR. Warning: It might take an awful long time it is not GPU enabled.')
  uploaded_file = st.file_uploader("Upload a image to OCR.", type=['jpg'])

  if uploaded_file is not None: 
   img = Image.open(uploaded_file)
   img.load()
   st.image(img) #display image

   with st.spinner("🔄 OCR in process."):
        result = reader.readtext(np.array(img))

        result_text = [] #empty list for results

        for text in result:
            result_text.append(text[1])

        st.write(result_text)
   st.balloons()
  else:
    st.write("Upload an image to extract text using OCR.")
    
    # Buy Me a Coffee button
    st.markdown(
        """
        <div style="margin: 0.75em 0;">
            <a href="https://www.buymeacoffee.com/Artgen" target="_blank">
                <img src="https://cdn.buymeacoffee.com/buttons/default-orange.png" 
                     alt="Buy Me A Coffee" height="41" width="174">
            </a>
        </div>
        """,
        unsafe_allow_html=True
    )
    
    # Support message
    st.markdown(
        """
        <div style="margin: 0.75em 0;">
            But what would really help me is a <strong>PRO subscription</strong> 
            to Google Colab, Kaggle or Hugging Face. Many thanks.
        </div>
        """,
        unsafe_allow_html=True
    )