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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/BeautyIsTruthTruthisBeauty.JPG', 'BeautyIsTruthTruthisBeauty.JPG') | |
#torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/PleaseRepeatLouder.jpg', 'PleaseRepeatLouder.jpg') | |
#torch.hub.download_url_to_file('https://github.com/AaronCWacker/Yggdrasil/blob/main/images/ProhibitedInWhiteHouse.JPG', 'ProhibitedInWhiteHouse.JPG') | |
torch.hub.download_url_to_file('https://app.konfuzio.com/page/show-image/3111249/','invoice.png') | |
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:]] | |
article = "<p style='text-align: center'></p>" | |
examples = [['invoice.png',['en']]] | |
css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" | |
choices = [ | |
"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'])], | |
examples=examples, | |
css=css, | |
enable_queue=True | |
).launch(debug=True) |