qandeelfatima/ImageToTextModel

1import easyocr as ocr  #OCR2import streamlit as st  #Web App3from PIL import Image #Image Processing4import numpy as np #Image Processing 5 6#title7st.title(" Image to Text App ")8 9st.markdown("")10 11image = st.file_uploader(label = "Upload your image here",type=['png','jpg','jpeg'])12 13 14@st.cache_data15def load_model(): 16    reader = ocr.Reader(['en'],model_storage_directory='.')17    return reader 18 19reader = load_model() #load model20 21if image is not None:22 23    input_image = Image.open(image) #read image24    st.image(input_image) #display image25 26    with st.spinner("Image converting"):27        28 29        result = reader.readtext(np.array(input_image))30 31        result_text = [] 32 33 34        for text in result:35            result_text.append(text[1])36 37        st.write(result_text)38    #st.success("Here you go!")39    st.balloons()40else:41    st.write("Upload an Image")42 43