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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.")
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