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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']]]
# Comment
#['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 = "<p style='text-align: center'></p>"
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) |