| import easyocr as ocr #OCR | |
| import streamlit as st #Web App | |
| from PIL import Image #Image Processing | |
| import numpy as np #Image Processing | |
| #title | |
| st.title("Easy OCR - Extract Text from Images") | |
| #subtitle | |
| st.markdown("## Using `easyocr`, `streamlit`") | |
| #image uploader | |
| image = st.file_uploader(label = "Upload your image here", type=['png', 'jpg', 'jpeg']) | |
| # @st.cache | |
| # def load_model(): | |
| # reader = ocr.Reader(['en']) | |
| # return reader | |
| # | |
| # reader = load_model() #load model | |
| if image is not None: | |
| input_image = Image.open(image) #read image | |
| st.image(input_image) #display image | |
| with st.spinner("🤖 AI is at Work! "): | |
| reader = ocr.Reader(['en']) | |
| result = reader.readtext(np.array(input_image)) | |
| result_text = [] | |
| for text in result: | |
| result_text.append(text[1]) | |
| st.write(result_text) | |
| st.success("Here you go!") | |
| else: | |
| st.write("Upload an Image") | |
| st.caption("Made with ❤️ by z") | |