app.py

import gradio as gr
import pandas as pd
import easyocr
import torch
import PIL
from PIL import Image
from PIL import ImageDraw


def draw_boxes(image, bounds, color='blue', width=1):
    draw = ImageDraw.Draw(image)
    for bound in bounds:
        p0, p1, p2, p3 = bound[0]
        draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width)
    return image

def detect(img, lang=['en']):
    reader = easyocr.Reader(lang)
    bounds = reader.readtext(img)
    im = PIL.Image.open(img)
    im_out=draw_boxes(im, bounds)
    return im_out,pd.DataFrame(bounds).iloc[: 0, -1:],pd.DataFrame(bounds).iloc[: 0, -1:]

with gr.Blocks() as robot:
    im=gr.Image(type="filepath")
    go_btn=gr.Button()
    out_im=gr.Image()
    with gr.Row():
        out_txt=gr.Textbox(lines=8)
        data_f=gr.Dataframe(headers=['text', 'confidence'])
    go_btn.click(detect,im,[out_im,out_txt,data_f])
robot.queue(concurrency_count=10).launch()