import pandas as pd import PIL from PIL import Image from PIL import ImageDraw import gradio as gr import torch import easyocr torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/20-Books.jpg', '20-Books.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/21-Books.jpg', '21-Books.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/22-Magazines.jpg', '22-Magazines.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/23-Magazines.jpg', '23-Magazines.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/24-Card-Games.jpg', '24-Card-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/25-Games.jpg', '25-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/26-Books.jpg', '26-Books.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/27-Books.jpg', '27-Books.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/28-Books.jpg', '28-Books.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/27-Games.jpg', '27-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/28-Games.jpg', '28-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/29-Books-Science-Fiction.jpg', '29-Books-Science-Fiction.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/30-Manga-Books.jpg', '30-Manga-Books.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/31-Books.jpg', '31-Books.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/32-Books.jpg', '32-Books.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/33-Game-Night.jpg', '33-Game-Night.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/34-Games.jpg', '34-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/35-Favorite-Games.jpg', '35-Favorite-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/36-Game-Night.jpg', '36-Game-Night.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/38-Strategy-Games.jpg', '38-Strategy-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/39-Games.jpg', '39-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/40-Games.jpg', '40-Games.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/41-Game-Rules.jpg', '41-Game-Rules.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/42-Game-Rules.jpg', '42-Game-Rules.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/43-Games-Pieces.jpg', '43-Games-Pieces.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/44-Game-Pieces.jpg', '44-Game-Pieces.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/45-Choose-Your-Own-Adventure.jpg', '45-Choose-Your-Own-Adventure.jpg') torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/46-Choose-Your-Own-Adventure.jpg', '46-Choose-Your-Own-Adventure.jpg') torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/english.png', 'english.png') torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/chinese.jpg', 'chinese.jpg') torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/japanese.jpg', 'japanese.jpg') #torch.hub.download_url_to_file('https://i.imgur.com/mwQFd7G.jpeg', 'Hindi.jpeg') examples = [['20-Books.jpg',['en']], ['21-Books.jpg',['en']], ['22-Magazines.jpg',['en']], ['23-Magazines.jpg',['en']], ['24-Card-Games.jpg',['en']], ['25-Games.jpg',['en']], ['26-Books.jpg',['en']], ['27-Books.jpg',['en']], ['28-Books.jpg',['en']], ['27-Games.jpg',['en']], ['28-Games.jpg',['en']], ['29-Books-Science-Fiction.jpg',['en']], ['30-Manga-Books.jpg',['en']], ['31-Books.jpg',['en']], ['32-Books.jpg',['en']], ['33-Game-Night.jpg',['en']], ['34-Games.jpg',['en']], ['35-Favorite-Games.jpg',['en']], ['36-Game-Night.jpg',['en']], ['38-Strategy-Games.jpg',['en']], ['39-Games.jpg',['en']], ['40-Games.jpg',['en']], ['41-Game-Rules.jpg',['en']], ['42-Game-Rules.jpg',['en']], ['43-Games-Pieces.jpg',['en']], ['44-Game-Pieces.jpg',['en']], ['45-Choose-Your-Own-Adventure.jpg',['en']], ['46-Choose-Your-Own-Adventure.jpg',['en']], ['english.png',['en']], ['chinese.jpg',['ch_sim', 'en']], ['japanese.jpg',['ja', 'en']], #['Hindi.jpeg',['hi', 'en']] ] def draw_boxes(image, bounds, color='yellow', 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, lang): reader = easyocr.Reader(lang) bounds = reader.readtext(img.name) im = PIL.Image.open(img.name) draw_boxes(im, bounds) im.save('result.jpg') return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]] title = 'Image To Optical Character Recognition' description = 'Multilingual OCR which works conveniently on all devices in multiple languages.' article = "

" css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" choices = [ "ch_sim", "ch_tra", "de", "en", "es", "ja", "hi", "ru" ] gr.Interface( inference, [gr.inputs.Image(type='file', label='Input'),gr.inputs.CheckboxGroup(choices, type="value", default=['en'], label='language')], [gr.outputs.Image(type='file', label='Output'), gr.outputs.Dataframe(headers=['text', 'confidence'])], title=title, description=description, article=article, examples=examples, css=css, enable_queue=True ).launch(debug=True)