surya-ocr / app.py
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import gradio as gr
import json
from ocr_text import main as ocr_main
from detect_layout import main as layout_main
from reading_order import main as reading_main
with open("languages.json", "r", encoding='utf-8') as file:
language_map = json.load(file)
def model1(image_path, languages):
langs = ""
if languages == [] or not languages:
langs = "English"
else:
for lang in languages:
langs += f"{lang},"
langs = langs[:-1]
print(langs)
annotated = ocr_main(image_path, langs=langs)
return annotated
def model2(image_path):
annotated = layout_main(image_path)
return annotated
def model3(image_path):
annotated = reading_main(image_path)
return annotated
def process_image(image, model_func):
if image is None:
return None
result = model_func(image)
return result
with gr.Blocks() as demo:
gr.Markdown("<center><h1>Surya - Image OCR/Layout/Reading Order</h1></center>")
with gr.Row():
with gr.Column():
with gr.Row():
input_image = gr.Image(type="filepath", label="Input Image", sources="upload")
with gr.Row():
dropdown = gr.Dropdown(label="Select Languages for OCR", choices=list(language_map.keys()), multiselect=True, value=["English"], interactive=True)
with gr.Row():
btn1 = gr.Button("OCR", variant="primary")
btn2 = gr.Button("Layout", variant="primary")
btn3 = gr.Button("Reading Order", variant="primary")
with gr.Row():
clear = gr.ClearButton()
with gr.Column():
with gr.Tabs():
with gr.TabItem("OCR"):
output_image1 = gr.Image()
with gr.TabItem("Layout"):
output_image2 = gr.Image()
with gr.TabItem("Reading Order"):
output_image3 = gr.Image()
btn1.click(fn=model1, inputs=[input_image, dropdown], outputs=output_image1)
btn2.click(fn=model2, inputs=[input_image], outputs=output_image2)
btn3.click(fn=model3, inputs=[input_image], outputs=output_image3)
clear.add(components=[input_image, output_image1, output_image2, output_image3])
demo.launch()