# app.py

import gradio as gr
from PIL import Image
import pytesseract
import numpy as np

def extract_text_from_image(image):
    try:
        # Convert the PIL image to a NumPy array
        image_array = np.array(image)

        # Use Tesseract to extract text
        text = pytesseract.image_to_string(Image.fromarray(image_array))

        return text
    except Exception as e:
        return str(e)

iface = gr.Interface(
    fn=extract_text_from_image,
    inputs=gr.Image(type="pil", label="Upload an image"),
    outputs="text",
    live=True,
)

if __name__ == "__main__":
    iface.launch()