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Commit ·
57da257
1
Parent(s): a88643a
Added Description
Browse files- src/summarizer.py +1 -1
- src/text_extractor.py +34 -10
src/summarizer.py
CHANGED
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@@ -1,4 +1,4 @@
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-
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from tqdm import tqdm
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from transformers import PegasusForConditionalGeneration, PegasusTokenizer
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from src.text_extractor import TextExtractor
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0from typing import Dict, List, Tuple, Optional
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from tqdm import tqdm
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from transformers import PegasusForConditionalGeneration, PegasusTokenizer
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from src.text_extractor import TextExtractor
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src/text_extractor.py
CHANGED
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@@ -9,9 +9,9 @@ class TextExtractor:
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pass
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@staticmethod
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def get_font_info(doc: Iterator, granularity=False) ->
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"""
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-
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Args:
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doc (<class 'fitz.fitz.Document'>): A fitz type document of the pdf file.
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ValueError: Raises Value Error if there are no font detected
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Returns:
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-
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"""
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styles = {}
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font_counts = {}
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return font_counts, styles
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@staticmethod
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def get_font_tags(font_counts, styles):
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"""
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Args:
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font_counts (
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styles (
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Returns:
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"""
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p_size = styles[font_counts[0][0]]['size']
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# sorting the font sizes high to low, so that we can append the right integer to each tag
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return size_tag
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@staticmethod
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def assign_tags(doc, size_tag):
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"""
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Scrapes headers & paragraphs from PDF and return texts with element tags.
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size_tag (dict): Textual element tags for each size.
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Returns:
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list: Texts with pre-prended element tags
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"""
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texts = []
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previous_s = {}
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@staticmethod
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def get_slides(texts):
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slides = {}
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section = []
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page = 1
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page += 1
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except:
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continue
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return slides
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pass
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@staticmethod
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def get_font_info(doc: Iterator, granularity=False) -> List[Tuple[str, int]]:
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"""
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Return a list containing the font sizes and their count number.
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Args:
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doc (<class 'fitz.fitz.Document'>): A fitz type document of the pdf file.
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ValueError: Raises Value Error if there are no font detected
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Returns:
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List[Tuple[str, int]]:
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Font Counts: [('12.0', 266), ('16.020000457763672', 18), ('13.979999542236328', 7), ('7.019999980926514', 2)]
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"""
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styles = {}
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font_counts = {}
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return font_counts, styles
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@staticmethod
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def get_font_tags(font_counts, styles) -> Dict[int, str]:
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"""
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Return a dictionary of font sizes and their corresponding tags.
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Args:
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font_counts (List[Tuple[str, int]]): The font sizes as keys and their count as values
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styles (Dict[int, Dict[str, str]]): A style descriptioin of every font sizes.
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Returns:
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Dict[int, str]: Dictionary of the font sizes as keys and their tags as values.
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Example: {12.0: '<p>', 16.020000457763672: '<h1>', 13.979999542236328: '<h2>', 7.019999980926514: '<s4>'}
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"""
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p_size = styles[font_counts[0][0]]['size']
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# sorting the font sizes high to low, so that we can append the right integer to each tag
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return size_tag
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@staticmethod
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def assign_tags(doc, size_tag) -> List[str]:
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"""
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Scrapes headers & paragraphs from PDF and return texts with element tags.
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size_tag (dict): Textual element tags for each size.
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Returns:
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list: Texts with pre-prended element tags
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Examples: ['<h1>Group Members: |', '<p>1. Stella Shania Mintara - 2301860596
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| 2. David Samuel - 2301850304 | 3. Egivenia - 2301850134 | 4. Aurelius Va
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nnes Leander - 2301862102 | 5. Juanrico Alvaro - 2301847316 ||']
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"""
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texts = []
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previous_s = {}
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@staticmethod
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def get_slides(texts):
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"""
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Returns the tagged texts into a slide format dictionary where the page is the
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key and the value is a list contaning the component of that page.
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Args:
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texts (List[str]): PDF text with element tags.
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Returns:
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Dict: The text of the PDF seperated by the header 1 tags.
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Examples: {'Page 1': [('h1', 'Group Members:'),
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['p', '1. Stella Shania Mintara - 2301860596 2. David Samuel -
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2301850304 3. Egivenia - 2301850134 4. Aurelius Vannes Leander -
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2301862102 5.
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Juanrico Alvaro - 2301847316']],
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'Page 2': [('h1', 'Case Problem'),
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['p', FreshMart is an established large-scale supermarket with branc
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hes in popular areas across Jakarta and big cities]]}
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"""
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slides = {}
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section = []
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page = 1
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page += 1
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except:
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continue
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return slides
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