from paddleocr import PaddleOCR, draw_ocr
from PIL import Image, ImageFont
import gradio as gr
import torch

def inference(img, lang):
    ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False)
    img_path = img.name
    result = ocr.ocr(img_path, cls=True)
    image = Image.open(img_path).convert('RGB')
    boxes = [line[0] for line in result]
    txts = [line[1][0] for line in result]
    scores = [line[1][1] for line in result]
	
    font = ImageFont.truetype("simfang.ttf", 18)
    im_show = draw_ocr(image, boxes, txts, scores,
                       font_path=font)
					   
    im_show = Image.fromarray(im_show)
    im_show.save('result.jpg')
    return 'result.jpg'

title = 'OCR'
description = 'OCR demo (supports Chinese, English, French, German, Korean and Japanese). Simply upload your image and choose a language from the dropdown menu.'
css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
gr.Interface(
    inference,
    [gr.inputs.Image(type='file', label='Input'),gr.inputs.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], type="value", default='en', label='language')],
    gr.outputs.Image(type='file', label='Output'),
    title=title,
    description=description,
    css=css,
    enable_queue=True
    ).launch(debug=True)