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import streamlit as st
from PIL import Image
import pytesseract
import os
# Use default Tesseract path in Hugging Face's OCR image
st.set_page_config(page_title="Image to Text OCR", layout="centered")
st.title("🖼️ Image to Text Converter (OCR)")
st.write("Upload an image and extract text using Optical Character Recognition (OCR).")
uploaded_file = st.file_uploader("Choose an image file", type=["jpg", "jpeg", "png"])
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image, caption="Uploaded Image", use_column_width=True)
if st.button("Extract Text"):
with st.spinner("Extracting text..."):
try:
text = pytesseract.image_to_string(image)
st.subheader("Extracted Text")
st.text_area("Text Output", value=text, height=300)
except Exception as e:
st.error(f"Error: {e}")
else:
st.info("Please upload an image to get started.")
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