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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/thai.jpg', 'thai.jpg') | |
| torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/french.jpg', 'french.jpg') | |
| 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://github.com/JaidedAI/EasyOCR/raw/master/examples/korean.png', 'korean.png') | |
| 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 = 'EasyOCR' | |
| description = 'Gradio demo for EasyOCR. EasyOCR demo supports 80+ languages.To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below.' | |
| article = "<p style='text-align: center'><a href='https://www.jaided.ai/easyocr/'>Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.</a> | <a href='https://github.com/JaidedAI/EasyOCR'>Github Repo</a></p>" | |
| examples = [['english.png',['en']],['thai.jpg',['th']],['french.jpg',['fr', 'en']],['chinese.jpg',['ch_sim', 'en']],['japanese.jpg',['ja', 'en']],['korean.png',['ko', 'en']],['Hindi.jpeg',['hi', 'en']]] | |
| css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}" | |
| choices = [ | |
| "abq", | |
| "ady", | |
| "af", | |
| "ang", | |
| "ar", | |
| "as", | |
| "ava", | |
| "az", | |
| "be", | |
| "bg", | |
| "bh", | |
| "bho", | |
| "bn", | |
| "bs", | |
| "ch_sim", | |
| "ch_tra", | |
| "che", | |
| "cs", | |
| "cy", | |
| "da", | |
| "dar", | |
| "de", | |
| "en", | |
| "es", | |
| "et", | |
| "fa", | |
| "fr", | |
| "ga", | |
| "gom", | |
| "hi", | |
| "hr", | |
| "hu", | |
| "id", | |
| "inh", | |
| "is", | |
| "it", | |
| "ja", | |
| "kbd", | |
| "kn", | |
| "ko", | |
| "ku", | |
| "la", | |
| "lbe", | |
| "lez", | |
| "lt", | |
| "lv", | |
| "mah", | |
| "mai", | |
| "mi", | |
| "mn", | |
| "mr", | |
| "ms", | |
| "mt", | |
| "ne", | |
| "new", | |
| "nl", | |
| "no", | |
| "oc", | |
| "pi", | |
| "pl", | |
| "pt", | |
| "ro", | |
| "ru", | |
| "rs_cyrillic", | |
| "rs_latin", | |
| "sck", | |
| "sk", | |
| "sl", | |
| "sq", | |
| "sv", | |
| "sw", | |
| "ta", | |
| "tab", | |
| "te", | |
| "th", | |
| "tjk", | |
| "tl", | |
| "tr", | |
| "ug", | |
| "uk", | |
| "ur", | |
| "uz", | |
| "vi" | |
| ] | |
| 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) |