app.py

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

# Try to set Tesseract path if available
TESSERACT_PATH = "/usr/bin/tesseract"
if os.path.exists(TESSERACT_PATH):
    pytesseract.pytesseract.tesseract_cmd = TESSERACT_PATH
else:
    pytesseract.pytesseract.tesseract_cmd = "tesseract"  # fallback

st.set_page_config(page_title="OCR – Image to Text", layout="centered")
st.title("🖼️ OCR – Image to Text")
st.write("Upload a PNG or JPG image to extract text.")

uploaded_file = st.file_uploader("Choose an image file", type=["png", "jpg", "jpeg"])

if uploaded_file:
    try:
        image = Image.open(io.BytesIO(uploaded_file.read()))
        st.image(image, caption="Preview", use_column_width=True)

        if st.button("Extract Text"):
            with st.spinner("Running OCR..."):
                try:
                    text = pytesseract.image_to_string(image)
                    st.subheader("Extracted Text")
                    st.text_area("", text, height=300)
                except pytesseract.TesseractNotFoundError:
                    st.error("⚠️ Tesseract is not installed on the server. Please check your `apt.txt` or switch SDK to Docker.")
    except Exception as e:
        st.error(f"❌ Failed to process image: {e}")
else:
    st.info("Please upload an image to begin.")