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| import gradio as gr, pytesseract, cv2, os | |
| def process(image: str, lang: str = 'eng') -> str: | |
| try: | |
| img = cv2.imread(image) | |
| gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) | |
| threshold_img = cv2.threshold(gray, 127, 255, cv2.THRESH_TOZERO)[1] | |
| result = pytesseract.image_to_string(threshold_img, lang=lang) | |
| os.remove(image) | |
| return result | |
| except Exception as e: | |
| return str(e) | |
| langs = pytesseract.get_languages() | |
| interface = gr.Interface( | |
| process, | |
| [gr.Image(type="filepath"), gr.Dropdown(label="Select Language", choices=langs, type="value")], | |
| outputs="text", | |
| css="footer {visibility: hidden}", | |
| title="Optical Character Recognition | Image To Text", | |
| 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>""" | |
| ) | |
| interface.launch(show_api=False) |