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Upload app.py

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  1. app.py +54 -0
app.py ADDED
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+ import pandas as pd
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+ import PIL
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+ from PIL import Image
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+ from PIL import ImageDraw
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+ import gradio as gr
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+ import torch
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+ import easyocr
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+
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+ torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/english.png', 'english.png')
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+ torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/chinese.jpg', 'chinese.jpg')
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+ torch.hub.download_url_to_file('https://github.com/JaidedAI/EasyOCR/raw/master/examples/japanese.jpg', 'japanese.jpg')
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+ torch.hub.download_url_to_file('https://i.imgur.com/mwQFd7G.jpeg', 'Hindi.jpeg')
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+
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+ def draw_boxes(image, bounds, color='yellow', width=2):
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+ draw = ImageDraw.Draw(image)
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+ for bound in bounds:
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+ p0, p1, p2, p3 = bound[0]
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+ draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width)
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+ return image
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+
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+ def inference(img, lang):
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+ reader = easyocr.Reader(lang)
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+ bounds = reader.readtext(img.name)
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+ im = PIL.Image.open(img.name)
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+ draw_boxes(im, bounds)
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+ im.save('result.jpg')
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+ return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]]
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+
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+ title = 'Image To Optical Character Recognition'
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+ description = 'Multilingual OCR which works conveniently on all devices in multiple languages.'
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+ article = "<p style='text-align: center'></p>"
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+ examples = [['english.png',['en']],['chinese.jpg',['ch_sim', 'en']],['japanese.jpg',['ja', 'en']],['Hindi.jpeg',['hi', 'en']]]
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+ css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
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+ choices = [
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+ "ch_sim",
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+ "ch_tra",
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+ "de",
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+ "en",
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+ "es",
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+ "ja",
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+ "hi",
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+ "ru"
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+ ]
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+ gr.Interface(
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+ inference,
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+ [gr.inputs.Image(type='file', label='Input'),gr.inputs.CheckboxGroup(choices, type="value", default=['en'], label='language')],
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+ [gr.outputs.Image(type='file', label='Output'), gr.outputs.Dataframe(headers=['text', 'confidence'])],
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+ title=title,
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+ description=description,
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+ article=article,
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+ examples=examples,
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+ css=css,
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+ enable_queue=True
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+ ).launch(debug=True)