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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/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') | |
| 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>" | |
| examples = [['english.png',['en']],['chinese.jpg',['ch_sim', 'en']],['japanese.jpg',['ja', 'en']],['Hindi.jpeg',['hi', 'en']]] | |
| 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) |