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| # This class contains the code provided for extracting content from a PDF file | |
| import gradio as gr | |
| import PyPDF2 | |
| import pdfplumber | |
| from pdfminer.high_level import extract_pages | |
| from pdfminer.layout import LTTextContainer, LTChar | |
| def text_extraction(element): | |
| # Extracting the text from the in-line text element | |
| line_text = element.get_text() | |
| # Find the formats of the text | |
| # Initialize the list with all the formats that appeared in the line of text | |
| line_formats = [] | |
| for text_line in element: | |
| if isinstance(text_line, LTTextContainer): | |
| # Iterating through each character in the line of text | |
| for character in text_line: | |
| if isinstance(character, LTChar): | |
| # Append the font name of the character | |
| line_formats.append(character.fontname) | |
| # Append the font size of the character | |
| line_formats.append(character.size) | |
| # Find the unique font sizes and names in the line | |
| format_per_line = list(set(line_formats)) | |
| # Return a tuple with the text in each line along with its format | |
| return (line_text, format_per_line) | |
| def read_pdf(pdf_path): | |
| if pdf_path is None: | |
| raise gr.Error("A PDF file must be specified!") | |
| # create a PDF file object | |
| pdf_file_obj = open(pdf_path, 'rb') | |
| # create a PDF reader object | |
| pdf_reader = PyPDF2.PdfReader(pdf_file_obj) | |
| # Create the dictionary to extract text from each image | |
| text_per_page = {} | |
| # We extract the pages from the PDF | |
| for pagenum, page in enumerate(extract_pages(pdf_path)): | |
| # Initialize the variables needed for the text extraction from the page | |
| page_text = [] | |
| line_format = [] | |
| text_from_images = [] | |
| text_from_tables = [] | |
| page_content = [] | |
| table_extraction_flag= False | |
| # Open the pdf file | |
| pdf = pdfplumber.open(pdf_path) | |
| # Find all the elements | |
| page_elements = [(element.y1, element) for element in page._objs] | |
| # Sort all the elements as they appear in the page | |
| page_elements.sort(key=lambda a: a[0], reverse=True) | |
| # Find the elements that composed a page | |
| for i,component in enumerate(page_elements): | |
| # Extract the position of the top side of the element in the PDF | |
| pos= component[0] | |
| # Extract the element of the page layout | |
| element = component[1] | |
| # Check if the element is a text element | |
| if isinstance(element, LTTextContainer): | |
| # Check if the text appeared in a table | |
| if table_extraction_flag == False: | |
| # Use the function to extract the text and format for each text element | |
| (line_text, format_per_line) = text_extraction(element) | |
| # Append the text of each line to the page text | |
| page_text.append(line_text) | |
| # Append the format for each line containing text | |
| line_format.append(format_per_line) | |
| page_content.append(line_text) | |
| else: | |
| # Omit the text that appeared in a table | |
| pass | |
| # Create the key of the dictionary | |
| dctkey = 'Page_'+str(pagenum) | |
| # Add the list of list as the value of the page key | |
| text_per_page[dctkey]= [page_text, line_format, text_from_images,text_from_tables, page_content] | |
| # Closing the pdf file object | |
| pdf_file_obj.close() | |
| return text_per_page | |