from pix2text import Pix2Text, merge_line_texts

img_fp = './examples/en1.jpg'
p2t = Pix2Text.from_config()
outs = p2t.recognize_text_formula(img_fp, resized_shape=768, return_text=True)
print(outs)










# #! pip install pix2text>=1.1
# import requests
# from io import BytesIO
# from PIL import Image

# from pix2text import Pix2Text, merge_line_texts

# def download_img(url):
#     response = requests.get(url)
#     image_file = BytesIO(response.content)
#     return Image.open(image_file).convert('RGB')

# image_fps = [
#     'https://raw.githubusercontent.com/breezedeus/Pix2Text/main/docs/examples/formula.jpg',
#     'https://raw.githubusercontent.com/breezedeus/Pix2Text/main/docs/examples/math-formula-42.png',
# ]
# images = [download_img(img_fp) for img_fp in image_fps]

# p2t = Pix2Text.from_config()
# outs = p2t.recognize_formula(images, return_text=True)  # recognize pure formula images
# print('outs for pure formula images', outs)

# mixed_img_fp = 'https://raw.githubusercontent.com/breezedeus/Pix2Text/main/docs/examples/en1.jpg'
# mixed_img = download_img(mixed_img_fp)

# outs2 = p2t.recognize(mixed_img, file_type='text_formula', return_text=True, save_analysis_res='en1-out.jpg')  # recognize mixed images
# print(outs2)
# from IPython.display import display
# display(Image.open('en1-out.jpg'))