def get_none_arabic_words(text):
none_arabic = list()
ad = AlphabetDetector()
for word in text.split():
if not ad.is_arabic(word):
none_arabic.append(word)
return none_arabic
def Pic_Book(x):
im1 = Image.open(r'C:\\Users\\user\\Desktop\\darlusail\\book.jpg')
Pic_cell=sheet.cell(x,17).value
Title_cell=str(sheet.cell(x,4).value)
draw = ImageDraw.Draw(im1)
font= ImageFont.truetype('arial.ttf', size=10) # desired size
txt = arabic_reshaper.reshape(Title_cell)# starting position of the message
message=get_display(txt)
color = 'rgb(0, 0, 0)' # black color
wrapper = textwrap3.TextWrapper(width=20) # draw the message on the background with text wrapper
word_list = wrapper.wrap(text=message)
caption_new = ''
ad = AlphabetDetector()
if (ad.is_arabic(txt)==True or ad.is_latin(txt)!=True):#checks if the text whatever it is has Arabic words
print(" the name contains arabic words")
for ii in reversed(word_list):
caption_new = caption_new + ii + '\n'
if(ad.is_latin(txt)==True):
print(" the name doesn't contains arabic words")
for ii in word_list:
caption_new = caption_new + ii + '\n'
print(caption_new)
font= ImageFont.truetype('arial.ttf', size=10)#define the font for the text
color = 'rgb(0, 0, 0)'
#w,h = draw.textsize(message, font=font)
w,h = draw.textsize(caption_new, font=font)
W,H = im1.size
#x,y = 0.5*(W-w),0.90*H-h
x,y=0.5*(W-w),0.5*H
draw.text((x,y), caption_new, fill=color,font=font)
size=563,285 #define the dimensions to crop in the next step
im1=im1.resize(size,Image.ANTIALIAS)
im2=im1.save(r"C:"+Pic_cell) #save the image with the new configurations
def keep_only_arabic(text):
ad = AlphabetDetector()
clean_lines = list()
for line in text.splitlines():
clean_line = list()
for word in line.split():
if ad.is_arabic(word):
if word.isalpha():
clean_line.append(word)
clean_lines.append(' '.join(clean_line))
return '\n'.join(clean_lines)
def keep_text_with_diacritics(text):
ad = AlphabetDetector()
lines = text.split('\n')
result_list = list()
for line in lines:
clean_line = list()
for word in line.split():
if ad.is_arabic(word) and has_diacritics(word):
clean_line.append(word)
result_list.append(' '.join(clean_line))
return '\n'.join(result_list)
def clean_tweet(tweet):
ad = AlphabetDetector()
tweet_processor.set_options(tweet_processor.OPT.URL,
tweet_processor.OPT.MENTION,
tweet_processor.OPT.HASHTAG,
tweet_processor.OPT.RESERVED,
tweet_processor.OPT.NUMBER)
tweet = tweet.lower()
tweet = tweet_processor.clean(tweet)
tweet = remove_diacritics(tweet)
#tweet = remove_repeating_char(tweet)
tweet = normalize_arabic(tweet)
tweet = keep_only_arabic(tweet.split())
#tweet = tweet.replace("\n", " ").strip()
tokens = tokenize(tweet)
tokens = [
token if emoticon_re.search(token) else token for token in tokens
]
tokens = [token for token in tokens if ad.is_arabic(token)]
return ' '.join(tokens)
def keep_only_arabic(words):
ad = AlphabetDetector()
tokens = [token for token in words if ad.is_arabic(token)]
tweet = ' '.join(tokens)
return tweet