ThibaudLamothe

print('Hello World!')

ThibaudLamothe

# Make imports
import time
import clipboard
from selenium import webdriver

# Define text to translate
text_to_translate = 'This is a translation example for my article.'

# Start a Selenium driver
driver_path='../chromedriver'

ThibaudLamothe

# Importing our previous translation function
from run_translation import translate_sentence

# Sentences input
sentence1 = 'I want to translate a first sentence without any link to the second one.'
sentence2 = 'The starlings ate all the cherries in one afternoon, there won\'t be any more for us.''

# Creation of the corpus as a list of strings
corpus  = [sentence1, sentence2] 

ThibaudLamothe

def prepare_batch_corpus(corpus, max_caracter=5000):

    # Size information
    nb_sentence = len(corpus)

    # Batch information (reset these values after each batch finalization)
    batch = []
    batch_length = 0

    # All batches are stored in that list, which will bbe the output of the function

ThibaudLamothe

# Making necessary imports
import clipboard
from selenium.webdriver.common.keys import Keys

# Identifying the text area in the html structure
input_css = 'div.lmt__inner_textarea_container textarea'

# Connecting to it with our driver
input_area = driver.find_element_by_css_selector(input_css)

ThibaudLamothe

# Getting button location on  the html tree
button_css = ' div.lmt__target_toolbar__copy button' 

# Getting the button object
button = driver.find_element_by_css_selector(button_css)

# Extracting its position
y = button.location['y']

# Positionning the button into the screen

ThibaudLamothe

from pptx import Presentation

def get_texts_from_file(input_file):
    
    # Instantiate variable to store the texts
    texts = []

    # Load the presentation
    prs = Presentation(input_file)

ThibaudLamothe

# parameters
input_file = 'original.pptx'
output_file = 'translated.pptx'

# Opening presentation
prs = Presentation(input_file)

# List of all texts [text1, text2, ....]
corpus = extract_text_frames_from(prs)

ThibaudLamothe

# For each paragraph of each text_frame    
for text_frame in  all_presentation_text_frames:
    for paragraph in text_frame.paragraphs:

        # We get the translated text
        old_text = text_frame.paragraphs[idx].text
        new_text = corpus_translated[old_text]

        # And inspect the runs (for font analysis)
        if len(paragraph.runs)>0:

ThibaudLamothe

# For each paragraph of each text_frame    
for text_frame in  all_presentation_text_frames:
    for paragraph in text_frame.paragraphs:

        # We get the translated text
        old_text = text_frame.paragraphs[idx].text
        new_text = corpus_translated[old_text]

        # And inspect the runs (for font analysis)
        if len(paragraph.runs)>0: