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

def draw_boxes(image, bounds, color='red', width=2):
    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 inference(img):
    reader = easyocr.Reader(['en'])
    bounds = reader.readtext(img, decoder='wordbeamsearch', rotation_info =[90, 180, 270])
    im = PIL.Image.open(img)
    draw_boxes(im, bounds)
    # im=im.convert('RGB')
    # plt.imshow(im)
    # plt.show()
    im.save('result.png')
    return ['result.png', pd.DataFrame(bounds).iloc[: , 1:]]
    

title = 'Raymond Weil'
examples = [['image_11.png'],['image_12.png'],['image_13.png'],['image_14.png'],['image_15.png'],['image_16.png'],['image_17.png'],['image_18.png'],['image_19.png']]
css = "footer {visibility: hidden} body}, .gradio-container {background-color: white},"

gr.Interface(
    inference,
    inputs=[gr.Image(label="input" ,type="filepath")],
    outputs=[gr.Image(type='filepath', label='Output'), gr.Dataframe(headers=['text', 'confidence'])],
    title=title,
    # description=description,
    examples=examples,
    css=css
    ).launch(debug=True,enable_queue=True)