import google.generativeai as genai
from PIL import Image
import streamlit as st
import io

from ocr_utils import extract_text



from ocr_utils import extract_text
# from ocr_utils import highlight_content

# Streamlit app layout
st.title("OCR Text Extraction from Images")

# File uploader widget
uploaded_file = st.file_uploader(
    "Upload an Image", type=["jpg", "jpeg", "png"])

if uploaded_file is not None:
    # Open and display the uploaded image
    image = Image.open(uploaded_file)
    st.image(image, caption='Uploaded Image', use_column_width=True)

    # Extract text from the image
    full_text = extract_text(image)

    # Display the extracted text
    st.subheader("Extracted Text")
    st.write(full_text)

    # Text input for keyword search
    keyword = st.text_input("Enter Keyword to Search")
    # Display highlighted content if a keyword is entered

    if keyword:
        if keyword in full_text:
            highlighted_text = full_text.replace(
                keyword, f"<mark style='background-color: yellow; color: black;'>{keyword}</mark>")
            st.subheader("Highlighted Search Results")
            st.markdown(highlighted_text, unsafe_allow_html=True)
        else:
            st.subheader("Highlighted Search Results")
            st.write(f"The keyword '{keyword}' was not found in the text.")
    else:
        st.subheader("Highlighted Search Results")
        st.write("No keyword entered for highlighting.")