Spaces:
Running
Running
File size: 2,673 Bytes
d657d5c 4f6287b c730fe9 7a086ec ebb9438 7a086ec 389b598 6f6e791 7a086ec ebb9438 e600be8 7a086ec f211fb5 e2feaed ebb9438 7a086ec ebb9438 e2feaed 7a086ec |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 |
import os
os.system('pip install paddlepaddle')
os.system('pip install paddleocr')
import requests
from paddleocr import PaddleOCR, draw_ocr
from PIL import Image
import gradio as gr
def download_image(url, save_path):
"""
Download an image from a specified URL and save it to the specified path
Args:
url (str): URL of the image
save_path (str): Path to save the image
Returns:
bool: True if download is successful, False otherwise
"""
try:
response = requests.get(url, stream=True)
if response.status_code == 200:
with open(save_path, 'wb') as file:
for chunk in response.iter_content(chunk_size=8192):
file.write(chunk)
print(f"Image successfully downloaded and saved as: {save_path}")
return True
else:
print(f"Download failed, status code: {response.status_code}")
return False
except Exception as e:
print(f"Error occurred during download: {str(e)}")
return False
# Download example image from GitHub
image_url = "https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/v2.8.0/doc/imgs_en/img_12.jpg"
download_image(image_url, "example.jpg")
def inference(img, lang):
ocr = PaddleOCR(use_angle_cls=True, lang=lang,use_gpu=False)
img_path = img
result = ocr.ocr(img_path, cls=True)[0]
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, scores,
font_path='./simfang.ttf')
im_show = Image.fromarray(im_show)
im_show.save('result.jpg')
return 'result.jpg'
title = 'PaddleOCR'
description = 'Gradio demo for PaddleOCR. PaddleOCR demo supports Chinese, English, French, German, Korean and Japanese. To use it, simply upload your image and choose a language from the dropdown menu, or click one of the examples to load them. Read more at the links below.'
article = "<p style='text-align: center'>Awesome multilingual OCR toolkits based on PaddlePaddle <a href='https://github.com/PaddlePaddle/PaddleOCR'>Github Repo</a></p>"
examples = [['example.jpg','en']]
css = ".output_image, .input_image {height: 40rem !important; width: 100% !important;}"
gr.Interface(
inference,
[gr.Image(type='filepath', label='Input'), gr.Dropdown(choices=['ch', 'en', 'fr', 'german', 'korean', 'japan'], value='en', label='language')],
gr.Image(type='filepath', label='Output'),
title=title,
description=description,
article=article,
examples=examples,
css=css
).launch(debug=True)
|