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Create app.py
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app.py
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import gradio as gr, pytesseract, cv2, os
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def process(image: str, lang: str = 'eng') -> str:
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try:
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img = cv2.imread(image)
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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_,threshold_img = cv2.threshold(gray, 127, 255, cv2.THRESH_TOZERO)
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result = pytesseract.image_to_string(threshold_img, lang=lang)
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os.remove(image)
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return result
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except Exception as e:
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return str(e)
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langs = pytesseract.get_languages()
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interface = gr.Interface(
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process,
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[gr.Image(type="filepath"), gr.Dropdown(label="Select Language", choices=langs, type="value")],
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outputs="text",
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css="footer {visibility: hidden}",
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title="Optical Character Recognition | Image To Text",
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article = """<p style='text-align: center;'>Hello, thanks for coming, visit AI tools: <a href="https://www.genelify.com" target="_blank">Genelify</a>, visit Social Media tools: <a href="https://www.tubtic.com" target="_blank">Tubtic</a></p>"""
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)
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interface.launch(show_api=False)
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