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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) | |
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.Markdown(article) | |
if __name__ == '__main__': | |
demo.launch() | |