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| from PIL import Image | |
| import pytesseract | |
| import gradio as gr | |
| import os | |
| langs = [] | |
| choices = os.popen('tesseract --list-langs').read().split('\n')[1:-1] | |
| blocks = gr.Blocks() | |
| # If you don't have tesseract executable in your PATH, include the following: | |
| # pytesseract.pytesseract.tesseract_cmd = r'<full_path_to_your_tesseract_executable>' | |
| # Example tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract' | |
| # Simple image to string | |
| # print(pytesseract.image_to_string(Image.open('eurotext.png'))) | |
| # # French text image to string | |
| # print(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='fra')) | |
| # # Get bounding box estimates | |
| # print(pytesseract.image_to_boxes(Image.open('test.png'))) | |
| # # Get verbose data including boxes, confidences, line and page numbers | |
| # print(pytesseract.image_to_data(Image.open('test.png'))) | |
| # # Get information about orientation and script detection | |
| # print(pytesseract.image_to_osd(Image.open('test.png')) | |
| def run(image, lang=None): | |
| result = pytesseract.image_to_string( | |
| image, lang=None if lang == [] else lang) | |
| return result | |
| with gr.Blocks() as demo: | |
| gr.Markdown("## Hello pytesseract!") | |
| with gr.Row(): | |
| with gr.Column(): | |
| image_in = gr.Image(type="pil") | |
| lang = gr.Dropdown(choices) | |
| btn = gr.Button("Run") | |
| with gr.Column(): | |
| text_out = gr.TextArea() | |
| examples = gr.Examples([["./eurotext.png", None]], fn=run, inputs=[ | |
| image_in, lang], outputs=[text_out], cache_examples=False) | |
| btn.click(fn=run, inputs=[image_in, lang], outputs=[text_out]) | |
| demo.launch() | |