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import streamlit as st | |
from PIL import Image | |
import pytesseract | |
st.set_page_config(page_title="OCR - Image to Text", layout="centered") | |
st.title("πΌοΈ OCR - Image to Text") | |
st.write("Upload an image to extract text:") | |
# Upload block | |
uploaded_file = st.file_uploader("Upload Image", type=["png", "jpg", "jpeg"]) | |
# Show uploaded image and extraction options | |
if uploaded_file is not None: | |
try: | |
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..."): | |
text = pytesseract.image_to_string(image) | |
st.success("β Text extracted!") | |
st.text_area("Extracted Text", value=text, height=300) | |
except Exception as e: | |
st.error(f"β Error: {e}") | |