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Update app.py
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import os
os.system('pip install paddlepaddle')
os.system('pip install paddleocr')
from paddleocr import PaddleOCR, draw_ocr
from PIL import Image
import gradio as gr
import torch
torch.hub.download_url_to_file('https://i.imgur.com/aqMBT0i.jpg', 'example.jpg')
def inference(img, lang):
ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False)
img_path = img.name
result = ocr.ocr(img_path, cls=True)
image = Image.open(img_path).convert('RGB')
boxes = [line[0] for line in result]
txts = [line[1][0] for line in result]
# scores = [line[1][1] for line in result]
im_show = draw_ocr(image, boxes, txts,
font_path='simfang.ttf')
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')
return 'result.jpg'
title = 'A Framework for Data-Driven Document Evaluation and scoring - Image to Text Extraction '
description = 'Demo for Optical character recognition(OCR)'
article = ""
examples = [['example.jpg','en']]
css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
gr.Interface(
inference,
[gr.inputs.Image(type='file', label='Input'),gr.inputs.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], type="value", default='en', label='language')],
gr.outputs.Image(type='file', label='Output'),
title=title,
description=description,
article=article,
examples=examples,
css=css,
enable_queue=True
).launch(debug=True)