app.py

import gradio as gr
import cv2

import easyocr
from PIL import Image

def get_grayscale(image):
    return cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

def thresholding(src):
    return cv2.threshold(src,127,255, cv2.THRESH_TOZERO)[1]

def ocr_with_easy(img):
    gray_scale_image = get_grayscale(img)
    thresholding(gray_scale_image)
    cv2.imwrite('image.png', gray_scale_image)
    reader = easyocr.Reader(['en'])
    bounds = reader.readtext('image.png', paragraph="False", detail=0)
    bounds = ''.join(bounds)
    return bounds

def generate_ocr(img):
    text_output = ''
    if (img).any():
        if img is not None:
            text_output = ocr_with_easy(img)
        else:
            raise gr.Error("Please upload an image!!!!")
    return text_output

image = gr.Image()
output = gr.Textbox(label="Output")

app = gr.Interface(
    generate_ocr,
    image,
    output,
    title="Optical Character Recognition",
    css=".gradio-container {background-color: lightgray} #radio_div {background-color: #FFD8B4; font-size: 40px;}"
)

app.launch()