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import pandas as pd
import PIL
from PIL import Image
from PIL import ImageDraw
import gradio as gr
import torch
import easyocr
def draw_boxes(image, bounds, color='red', width=2):
draw = ImageDraw.Draw(image)
for bound in bounds:
p0, p1, p2, p3 = bound[0]
draw.line([*p0, *p1, *p2, *p3, *p0], fill=color, width=width)
return image
def inference(img, lang):
reader = easyocr.Reader(lang)
bounds = reader.readtext(img.name)
im = PIL.Image.open(img.name)
draw_boxes(im, bounds)
im.save('result.jpg')
return ['result.jpg', pd.DataFrame(bounds).iloc[: , 1:]]
choices = ["en", "vi"]
gr.Interface(
inference,
inputs=[gr.Image(type='pil', label='Input'),
gr.CheckboxGroup(choices, type="value", default=['vi'], label='language')],
outputs=[gr.Image(type='pil', label='Output'),
gr.Dataframe(headers=['text', 'confidence'])],
enable_queue=True
).launch(debug=True)