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| from typing import List | |
| import pytesseract | |
| from PIL import Image | |
| import gradio as gr | |
| def tesseract_ocr(filepath: str, languages: List[str]=None): | |
| image = Image.open(filepath) | |
| return pytesseract.image_to_string(image=image, lang=', '.join(languages) if languages else None) | |
| title = "Tesseract OCR" | |
| description = "Gradio demo for Tesseract. Tesseract is an open source text recognition (OCR) Engine." | |
| article = "<p style='text-align: center'><a href='https://tesseract-ocr.github.io/' target='_blank'>Tesseract documentation</a> | <a href='https://github.com/tesseract-ocr/tesseract' target='_blank'>Github Repo</a></p>" | |
| examples = [ | |
| ["examples/weird_unicode_math_symbols.png", []], | |
| ["examples/eurotext.png", ["eng"]], | |
| ["examples/tesseract_sample.png", ["jpn", "eng"]], | |
| ["examples/chi.jpg", ["HanS", "HanT"]], | |
| ] | |
| with gr.Blocks(title=title) as demo: | |
| gr.Markdown(f'<h1 style="text-align: center; margin-bottom: 1rem;">{title}</h1>') | |
| gr.Markdown(description) | |
| with gr.Row(): | |
| with gr.Column(): | |
| image = gr.Image(type="filepath", label="Input") | |
| language_choices = pytesseract.get_languages() | |
| with gr.Accordion("Languages", open=False): | |
| languages = gr.CheckboxGroup(language_choices, type="value", value=["eng"], label='language') | |
| with gr.Row(): | |
| btn_clear = gr.ClearButton([image, languages]) | |
| btn_submit = gr.Button(value="Submit", variant="primary") | |
| with gr.Column(): | |
| text = gr.Textbox(label="Output") | |
| btn_submit.click(tesseract_ocr, inputs=[image, languages], outputs=text, api_name="tesseract-ocr") | |
| btn_clear.add(text) | |
| gr.Examples( | |
| examples=examples, | |
| inputs=[image, languages], | |
| ) | |
| gr.Markdown(article) | |
| if __name__ == '__main__': | |
| demo.launch() | |