app.py

import streamlit as st
from PIL import Image
import pytesseract
import io

# Set Tesseract binary path for Hugging Face
pytesseract.pytesseract.tesseract_cmd = "/usr/bin/tesseract"

st.set_page_config(page_title="OCR – Image to Text", layout="centered")
st.title("🖼️ OCR – Image to Text")

st.write("Upload an image to extract text using Tesseract OCR.")

uploaded_file = st.file_uploader("Choose an image", type=["png", "jpg", "jpeg"])
if uploaded_file:
    try:
        image = Image.open(io.BytesIO(uploaded_file.read()))
        st.image(image, caption="Uploaded Image", use_column_width=True)

        if st.button("Extract Text"):
            with st.spinner("Extracting text..."):
                extracted_text = pytesseract.image_to_string(image)
            st.success("Text extracted!")
            st.text_area("Extracted Text", extracted_text, height=300)

    except Exception as e:
        st.error(f"❌ Failed to process image: {e}")
else:
    st.info("Please upload an image.")