def translate_neurotolge(text, fromlang="auto", to_lang=None):
if "et" in to_lang:
to_lang = "et"
elif "en" in to_lang:
to_lang = "en"
elif "ru" in to_lang:
to_lang = "ru"
elif "lv" in to_lang:
to_lang = "lv"
else:
langapi = detectlanguage.detect(text)[0]
if "et" in langapi["language"]:
to_lang = "en"
elif "ru" in langapi["language"]:
to_lang = "en"
elif "lv" in langapi["language"]:
to_lang = "en"
elif "en" in langapi["language"]:
to_lang = "et"
r = requests.get(
"https://neurotolge.ee/translate?from={}&to={}&q={}".format(
fromlang, to_lang, text),
verify=False,
)
if r.status_code == 200:
a = r.json()
translation = a["translations"][0]["translation"]
return translation
def is_word(self):
passwords = self.password_mutations()
for _password in passwords:
if detect(_password)[0]['confidence'] == 10:
return True
else:
return False
def nuvem(request, id):
documento = Documento.objects.get(pk=id)
nome_arquivo = documento.arquivo.path
prefix, file_extension = os.path.splitext(nome_arquivo)
if not os.path.exists(prefix + '.txt'):
pdf2txt(documento.arquivo.path)
nome_arquivo = prefix + '.txt'
if not documento.language:
try:
linhas = open(nome_arquivo).read().lower().split('\n')[0:20]
except UnicodeDecodeError as erro:
linhas = open(
nome_arquivo,
encoding='ISO-8859-1').read().lower().split('.')[0:20]
trecho = ' '.join([('' if len(linha) < 20 else linha)
for linha in linhas])
lang_detect = detectlanguage.detect(trecho)
if len(lang_detect) > 0:
precisao = lang_detect[0]['confidence']
if precisao > 7:
documento.language = lang_detect[0]['language']
documento.save()
imagem = generate(nome_arquivo, documento.language)
contexto = {'doc': documento, 'nuvem': imagem}
return render(request, 'nuvem.html', contexto)
def checkLang(myFile, verbose): # checks file for language and returns language code, or if is doubtful returns "xx"
tryNumber = 0 # starting up counter
finished = False
status = detectlanguage.user_status() # get status for the account at detectlanguage.com
if status['status'] == "SUSPENDED":
print "*** Account at detectlanguage.com is suspended"
print " Run %s -d to see status" % sys.argv[0]
print " Quitting...\n"
exit(7)
with open(myFile) as theFile:
fileLines = sum(1 for line in theFile) # number of lines in file
theFile.close() # close file
while True:
if tryNumber * detectRows >= fileLines:
print "*** File only has %d lines. No more lines to send. Accepting answer" % fileLines
break
with open(myFile) as theFile: # open file
head = list(islice(theFile, tryNumber * detectRows, (tryNumber + 1) * detectRows)) # select rows from file
theFile.close() # close file
text = convertText(head, verbose) # convert all strange characters, remove special characters and so on
print "--- Sending rows %d-%d to detectlanguage.com" % (tryNumber * detectRows, (tryNumber + 1) * detectRows)
result = detectlanguage.detect(text) # detect language
if result[0]['isReliable']: # result is reliable
langCode = str(result[0]['language']) # langCode set to answer from detectlanguage.com
print "--- Got %s - %s" % (langCode, langName(langCode))
for lang in prefLangs: # run through the prefered languages
if lang == langCode: # recieved language is one of the prefered languages
finished = True # search for language code is finished
break # break out of this for loop
if finished:
break # break out of the while loop
else:
print "*** Not one of your prefered languages"
else:
langCode = "xx"
print "*** Got unreliable answer. Confidence is %s" % str(result[0]['confidence'])
tryNumber += 1 # counting number of trys
if tryNumber > maxTrys: # reached maximum number of trys
print "*** Max number of trys reached. Accepting answer"
finished = True
# break
if finished:
break
if langCode == "xx":
print "detectlanguage.com can't determine language code"
else:
print "detectlanguage.com says languagecode is %s" % langCode
confidence = result[0]['confidence']
print "detectlanguage.com says confidence is %s" % confidence
return langCode
def validate_language(user_input, api_key):
detectlanguage.configuration.api_key = api_key
detected_languages = detectlanguage.detect(user_input)
for language in detected_languages:
if language["language"] == "en":
return language["isReliable"]
return False
def predict(self, text_or_list):
"""
Predict the language.
Paramters
---------
text_or_list : str
Returns
-------
languages : list
"""
res = detectlanguage.detect(text_or_list)
return [el[0]['language'] for el in res]
def predict(self, text_or_list: str) -> List[str]:
"""
Predict the language.
Paramters
---------
text_or_list : str
Returns
-------
languages : List[str]
"""
res = detectlanguage.detect(text_or_list)
return [el[0]["language"] for el in res]
def languageDetection(text):
# print (text)
detectlanguage.configuration.api_key = config.detectlanguageApi_key
try:
re = detectlanguage.detect(text)
all_confidence = sum([item.get('confidence') for item in re])
re = ', '.join([
item.get('language') + ":" +
str(round(item.get('confidence') / all_confidence * 100, 2)) + "%"
for item in re
])
except Exception as e:
print(e)
re = 'unknown'
return re
def process_language_for_content(content_collection, search):
"""
:type content_collection: pymongo.collection.Collection
"""
detectlanguage.configuration.api_key = os.environ.get('DETECTLANG')
for post in content_collection.find({
'ld_lang': None,
'search_id': search['_id']
}):
lang_json = detectlanguage.detect(post['text'])
if lang_json[0]['isReliable']:
print(post['_id'])
content_collection.update_one(
{'_id': post['_id']},
{"$set": {
'ld_lang': lang_json[0]['language']
}})
def ocr_core(filename):
"""
This function will handle the core OCR processing of images.
"""
# with open(filename,'r') as file:
# text_content = file.read().splitlines()
# final_text = str(text_content)+" "
text = pytesseract.image_to_string(Image.open(filename), lang="tam") # We'll use Pillow's Image class to open the image and pytesseract to detect the string in the image
result = detectlanguage.detect(text)
# detected_language, detected_language_reliance = result['language'], result['isReliable']
translator = Translator()
trans_text = translator.translate([text])
translated_text = []
for ele in trans_text:
translated_text.append(ele.text)
#print(ele.origin,' -> ',ele.text)
print(translated_text)
return text, translated_text
def edit_action(request):
title = request.POST.get('title')
url = "http://api.meaningcloud.com/lang-2.0"
payload = "key=1b2ea248af8252d4d3ef84d0ef6798ce&txt=" + title + "&url=&doc="
headers = {'content-type': 'application/x-www-form-urlencoded'}
response = requests.request("POST", url, data=payload, headers=headers)
data = json.loads(response.text)
language = data['language_list'][0]['name']
# detectlanguage API
detectlanguage.configuration.api_key = "7750ba3cec7607c4e9a95584b94bb464"
result = detectlanguage.detect(title)
lang = result[0]['language']
return render(request, 'lang.html', {'language': language, 'lang': lang})
def detect_language(search_q):
"""
Uses detectlanguage API to determine language of video based on video title and cleaned description
API returns json result with string: predicted language, boolean: isReliable and double: confidence level
Updates video table in database with detectlanguage data
:returns: void
"""
try:
cursor, connection = connect()
cursor.execute(
"""SELECT title, clean_descr, v_id
FROM video
WHERE "searchQ" = %s;""", (search_q, ))
results = cursor.fetchall()
# configure language detection API
detectlanguage.configuration.api_key = "eea8968a48d7b6af0a3de993f7f401e0"
# for each result from the database, detect language from title and clean description
for result in results:
text = result[0] + " " + result[1]
v_id = result[2]
json = detectlanguage.detect(text)[0]
# update database with language data (language, isReliable, confidence level)
cursor.execute(
"""UPDATE video SET language = %s, is_reliable = %s,
confidence = %s WHERE v_id = %s""",
(json['language'], json['isReliable'], json['confidence'],
v_id))
connection.commit()
except Exception as e:
print("Exception in detect_language:", e)
finally:
closeConnection(connection, cursor)
def only_in_language(self, language_code):
"""Filter for those Tweets that seem to be in a given language.
Tweet language is decided by the `detectlanguage` API:
https://detectlanguage.com/
If detectlanguage.configuration.api_key has not already been set, tries
to get it from settings.DETECTLANGUAGE_API_KEY.
"""
import detectlanguage
if detectlanguage.configuration.api_key is None:
detectlanguage.configuration.api_key = settings.DETECTLANGUAGE_API_KEY
if not isinstance(language_code, str):
raise ValueError("language_code has to be string")
result = []
languages = detectlanguage.detect(
[tweet.filtered_text for tweet in self.data])
for idx, lang in enumerate(languages):
try:
if lang[0]["language"] == language_code:
result.append(self.data[idx])
except IndexError:
pass
return self.__class__(result, unique=self.unique)
def test_invalid_key(self):
detectlanguage.configuration.api_key = 'invalid'
detectlanguage.detect("Hello world")
def test_secure(self):
detectlanguage.configuration.secure = True
result = detectlanguage.detect("Hello world")
eq_('en', result[0]['language'])
detectlanguage.configuration.secure = False
def test_detect_array(self):
result = detectlanguage.detect(["Hello world", "Ėjo ežiukas"])
eq_('en', result[0][0]['language'])
eq_('lt', result[1][0]['language'])
def test_detect_unicode(self):
result = detectlanguage.detect("Ėjo ežiukas")
eq_('lt', result[0]['language'])
def test_detect(self):
result = detectlanguage.detect("Hello world")
eq_('en', result[0]['language'])
def test_detect(self):
result = detectlanguage.detect("Hello world")
eq_('en', result[0]['language'])
import detectlanguage
detectlanguage.configuration.api_key = 'sua api key'
texto = input(str("Digite a frase que deseja: "))
print(detectlanguage.detect(texto))
def detect_english(text):
result = dl.detect(text)
return "en" in [e['language'] for e in result]
try:
q_ru = str(blob.translate(to="ru"))
except:
q_ru = q
try:
q_de = str(blob.translate(to="de"))
except:
q_de = q
print q_en
print q_de
print q_ru
print "----"
lang = detectlanguage.detect(q)
lang = lang[0]["language"]
if lang == "en":
text_en_boost = native_boost
text_de_boost = foreign_boost
text_ru_boost = foreign_boost
hashtags_boost = default_HT_boost
elif lang == "ru":
text_en_boost = foreign_boost
text_de_boost = foreign_boost
text_ru_boost = native_boost
hashtags_boost = default_HT_boost
elif lang == "de":
text_en_boost = foreign_boost
text_de_boost = native_boost
def test_secure(self):
detectlanguage.configuration.secure = True
result = detectlanguage.detect("Hello world")
eq_('en', result[0]['language'])
detectlanguage.configuration.secure = False
def test_detect_array(self):
result = detectlanguage.detect(["Hello world", "Ėjo ežiukas"])
eq_('en', result[0][0]['language'])
eq_('lt', result[1][0]['language'])
def test_detect_unicode(self):
result = detectlanguage.detect("Ėjo ežiukas")
eq_('lt', result[0]['language'])
def nuvem(request, id):
documento = Documento.objects.get(pk=id)
form = LayoutForm(request.POST or None,
request.FILES or None,
initial={
'descricao': documento.descritivo or None,
'cores': documento.cores,
'select': documento.select
})
flag = documento.chave and request.GET.get(
'chave') and documento.chave == request.GET.get('chave')
if request.POST:
if form.is_valid():
documento.descritivo = form.cleaned_data.get('descricao')
if form.cleaned_data.get('imagem'):
documento.imagem = form.cleaned_data.get('imagem')
else:
documento.imagem = None
documento.stopwords = form.cleaned_data.get('stopwords')
documento.cores = form.cleaned_data.get('cores')
documento.select = form.cleaned_data.get('select')
documento.save()
messages.success(request, 'Alteração salva com sucesso.')
nome_arquivo = documento.arquivo.path
prefix, file_extension = os.path.splitext(nome_arquivo)
if not os.path.exists(prefix + '.txt'):
pdf2txt(documento.arquivo.path)
nome_arquivo = prefix + '.txt'
if os.path.exists(prefix + '.dedup'):
os.rename(prefix + '.dedup', nome_arquivo)
numero_linhas = 50
if not documento.language:
try:
linhas = open(nome_arquivo).read().lower().split(
'\n')[0:numero_linhas]
except UnicodeDecodeError as erro:
linhas = open(nome_arquivo,
encoding='ISO-8859-1').read().lower().split(
'.')[0:numero_linhas]
trecho = ' '.join([('' if len(linha) < numero_linhas else linha)
for linha in linhas])
lang_detect = detectlanguage.detect(trecho)
if len(lang_detect) > 0:
precisao = lang_detect[0]['confidence']
if precisao > 5:
documento.language = lang_detect[0]['language']
documento.select = lang_detect[0]['language']
documento.save()
mask = None
channel = 0
if documento.imagem:
try:
image = Image.open(documento.imagem)
channel = len(image.split())
mask = np.array(image)
except Exception:
messages.error(
request,
'Não foi possivel usar a imagem como mascára, por favor selecione outra.'
)
# Fix error: Not Implement methods para imagens com menos de 3 canais.
if channel >= 3 or not documento.cores:
color = documento.cores
else:
messages.error(
request, 'Não foi possivel pegar as cores dessa imagem, '
'pois ela possui somente %s %s.' %
(channel, 'canais' if channel > 1 else 'canal'))
color = False
if documento.tipo == 'keywords':
imagem = generate_words(nome_arquivo, documento.language, mask, color)
else:
imagem = generate(nome_arquivo, documento.stopwords,
documento.language, mask, color)
contexto = {'show': flag, 'form': form, 'doc': documento, 'nuvem': imagem}
return render(request, 'nuvem.html', contexto)
while True:
try:
if detectlanguage.user_status()['requests'] >= detectlanguage.user_status()['daily_requests_limit']:
logging.debug("Number of requests over daily limit.")
time.sleep(60)
statuses = db[twitterStatusCol].find({ "language_detections.language": { "$exists": False } })
if statuses:
count = 0
batch_request = []
batch_status = []
for twitterStatus in statuses:
if count >= 500:
logging.debug("Processing batch ...")
detections = detectlanguage.detect(batch_request)
if len(detections) != 500:
logging.error("ABNORMAL NUMBER OF LANGUAGE DETECTIONS: " + str(len(detections)))
break
count = 0
for detection in detections:
if len(detection) == 0:
detection = {}
detection['source'] = 'detectlanguage'
detection['language'] = ''
batch_status[count]['language_detections'] = []
batch_status[count]['language_detections'].append(detection)
else:
detection[0]['source'] = 'detectlanguage'
import detectlanguage
detectlanguage.configuration.api_key = "609c401c57d4180ddbf29d57ad9b273c"
print(detectlanguage.detect("Buenos dias señor"))
print(detectlanguage.simple_detect("तक को बनाया स्टार"))
print(detectlanguage.user_status())
def tr_detector(arg):
return detectlanguage.detect(arg)
c = 0
for line in csv.reader(fline,
delimiter='\t',
skipinitialspace='True',
quotechar=None):
#lg = detect(line[1].decode('utf-8').strip())
lang = ''
conf = '-1'
reliable = 'False'
# b = TextBlob(line[1].decode('utf-8').strip())
# lg = b.detect_language()
lg = detectlanguage.detect(line[1].decode('utf-8').strip())
c = c + 1
print(f + ' ' + str(c))
if len(lg) > 0:
writer.writerow([
line[0].strip().encode('utf-8'),
line[1].strip().encode('utf-8'),
line[2].strip().encode('utf-8'),
line[3].strip().encode('utf-8'),
line[4].strip().encode('utf-8'), line[5],
lg[0]['language'], lg[0]['isReliable'], lg[0]['confidence']
])
max_requests = 1000 # int(sys.argv[2]) if len(sys.argv) > 2 else 1000
offset = 0 # int(sys.argv[3]) if len(sys.argv) > 3 else 0
dl_user_status = detectlanguage.user_status()
available_requests = dl_user_status['daily_requests_limit'] - dl_user_status[
'requests']
if available_requests == 0:
print("Quota of requests at DetectLanguage exhausted for today.")
exit()
df = pd.read_csv(source_file_path, header=0)
nb_lines = min(available_requests, len(df) - offset, max_requests)
df = df[offset:offset + nb_lines].copy().reset_index(drop=True)
response = detectlanguage.detect(df["text"].values.tolist())
first_languages = list(
map(
lambda x: x[0] if x else {
'isReliable': False,
'confidence': 0,
'language': ''
}, response))
new_df = pd.concat([df, pd.DataFrame(first_languages)], axis=1)
orc_file = ORC_FILE.format(datetime.now().strftime("%y%m%d"))
with open(orc_file, "wb") as data:
with pyorc.Writer(
data,
"struct<text:string,isSpam:boolean,language:string,isReliable:boolean,confidence:float>",
try:
q_ru = str(blob.translate(to="ru"))
except:
q_ru = q
try:
q_de = str(blob.translate(to="de"))
except:
q_de = q
print q_en
print q_de
print q_ru
print "----"
lang = detectlanguage.detect(q)
lang = lang[0]["language"]
if lang == "en":
text_en_boost = native_boost
text_de_boost = foreign_boost
text_ru_boost = foreign_boost
hashtags_boost = default_HT_boost
elif lang == "ru":
text_en_boost = foreign_boost
text_de_boost = foreign_boost
text_ru_boost = native_boost
hashtags_boost = default_HT_boost
elif lang == "de":
text_en_boost = foreign_boost
text_de_boost = native_boost
async def searchcard(ctx, *args):
#author = ctx.message.author
languages = ['en', 'ja', 'ko', 'zh-tw', 'fr', 'it', 'de', 'es']
#Search Function
chosen_lang = False
error_found = False
add_chosen_lang = 'lang=en'
for i in range(0, len(args)):
if 'lang=' in args[i] and args[i].split(
'=', 1)[1] in languages and chosen_lang == False:
add_chosen_lang = args[i]
args = args[:i] + args[i + 1:]
chosen_lang = True
elif ('lang=' in args[i]
and args[i].split('=', 1)[1] not in languages):
await ctx.send('Invalid Language')
error_found = True
card_name = " ".join(args[:]) #not 5b
# if len(card_name) >= 3:
# blob = TextBlob(card_name).detect_language()
# languages = ['en', 'ja', 'ko', 'zh-tw' , 'fr', 'it', 'de', 'es']
# if blob.lower() in languages:
# d_lang = blob
# elif blob.lower() == 'fy':
# d_lang = 'de'
# else:
# d_lang = 'en'
# add_lang = f'lang={d_lang}'
# else:
# add_lang = add_chosen_lang
# if chosen_lang == True:
# add_lang = add_chosen_lang
if len(card_name) >= 3 and error_found == False:
try:
result = dlang.detect(card_name)[0]['language']
if result.lower() in languages:
d_lang = result
elif result.lower() == 'zh-Hant':
d_lang = 'zh-tw'
elif result.lower() == 'fy':
d_lang = 'de'
else:
d_lang = 'en'
add_lang = f'lang={d_lang}'
except:
add_lang = add_chosen_lang
await ctx.send('API limit reached. Please use "lang=<lang>"')
error_found = True
else:
add_lang = add_chosen_lang
if error_found == False:
dict_filters = {
'card_name': 'card_name',
'card_clan': 'clan%5B%5D',
'sv_format': 'format',
'card_set': 'card_set%5B%5D',
'card_cost': 'cost%5B%5D',
'card_type': 'char_type%5B%5D',
'card_rarity': 'rarity%5B%5D',
'language': 'lang'
}
dict_set_acro = {
'25': 'RGW',
'24': 'EOP',
'23': 'OOS',
'22': 'DOC',
'21': 'RSC',
'20': 'DOV',
'19': 'ETA',
'18': 'SOR',
'17': 'FOH',
'16': 'WUP',
'15': 'UCL',
'14': 'VEC',
'13': 'ROG',
'12': 'STR',
'11': 'ALT',
'10': 'OOT',
'09': 'BOS',
'08': 'DBN',
'07': 'CGS',
'06': 'SFL',
'05': 'WLD',
'04': 'TOG',
'03': 'ROB',
'02': 'DRK',
'01': 'CLC',
'00': 'Basic'
}
initial_link = 'https://shadowverse-portal.com/cards?'
added_filters = []
#Add Card Name }
add_card_name = dict_filters['card_name'] + '=' + card_name
add_card_name = add_card_name.replace(' ', '+')
added_filters.append(add_card_name)
#Add Lang Name
#add_lang = dict_filters['language'] + '=' + language
added_filters.append(add_lang)
added_link = '&'.join(added_filters)
count = 0
increment = 12
move_button = ''
while move_button in ['N', 'B'] or count == 0:
if move_button == 'B' and count % increment == 0:
count = count - increment * 2
elif move_button == 'B' and count % increment != 0:
count = count - count % increment - increment
card_offset = '&card_offset=' + str(count)
full_link = initial_link + added_link + card_offset
source = requests.get(full_link).text
soup = bs(source, 'lxml')
card_list = soup.find_all('a', class_="el-card-visual-content")
if len(card_list) == 0:
msg_no_result = 'No result found'
chosen_card_number = False
await ctx.send(msg_no_result)
break
if len(card_list) == 1 and count == 0:
chosen_card_number = card_list[0]['href'].split('/')[2]
break
right_ans = ['N', 'B', 'Q']
embed_desc = ''
for i in range(1, len(card_list) + 1):
count += 1
card_title = card_list[i - 1].find('img')['alt']
card_number = card_list[i - 1]['href'].split('/')[2]
if card_number[0] == '7':
expac_acro = '[alt]'
else:
expac_acro = f'[{dict_set_acro[card_number[1:3]]}]'
#print(str(count) + '.) ' + card_title + ' ' + expac_acro)
embed_desc = embed_desc + str(
count) + '.) ' + card_title + ' ' + expac_acro + '\n'
right_ans.append(str(count))
embed_footer = '## - Choose card, N - next page, B - prev page, Q - quit'
time_out = False
while time_out == False:
author = ctx.author.name
txt_response = f"**{author}**, did you mean..."
await ctx.send(txt_response)
embed_response = discord.Embed(title="Search Results",
description=embed_desc,
color=0xffb7c5)
embed_response.set_footer(text=embed_footer)
await ctx.send(embed=embed_response)
def check(msg):
return msg.author == ctx.author and msg.channel == ctx.channel
valid_ans = False
while valid_ans == False:
try:
msg = await bot.wait_for("message",
check=check,
timeout=10)
if msg.content in right_ans:
move_button = msg.content
valid_ans = True
time_out = True
chosen_card_number = False
except asyncio.TimeoutError:
await ctx.send(f"**{author}**, Time's up!")
valid_ans = True
time_out = True
chosen_card_number = False
if valid_ans == False:
await ctx.send(f"**{author}**, Invalid Response")
#move_button = input('## - Choose card, N - next page, B - prev page, Q - quit = ')
if move_button.isnumeric() == True and int(move_button) in range(
count - len(card_list) + 1, count + 1):
chosen_card_number = card_list[(int(move_button) % increment) -
1]['href'].split('/')[2]
else:
chosen_card_number = False
#if query == '1':
# chosen_card_number = '110124010'
#else:
# chosen_card_number = '120541010'
if chosen_card_number is not False:
add_lang = add_chosen_lang if chosen_lang == True else add_lang
chosen_card_link = f'https://shadowverse-portal.com/card/{chosen_card_number}?{add_lang}'
source = requests.get(chosen_card_link).text
soup = bs(source, 'lxml')
card_info = soup.find('ul', class_="card-info-content")
card_text = card_info.find_all('span')
p_text = card_info.find_all('p')
trait = card_text[1].text.split('\r\n')[1]
class_ = card_text[3].text.split('\r\n')[1]
rarity = card_text[5].text.split('\r\n')[1]
create = card_text[7].text.split('\r\n')[1]
if chosen_card_number[0] != '7' and chosen_card_number[1:3] != '00':
liquefy = f'{p_text[0].text} / ' + p_text[1].text.split(
"\n")[2]
card_pack = card_text[11].text.split('\r\n')[1]
if add_lang == 'lang=ja':
title = soup.find_all(
'li', class_="bl-breadcrumb-content-list")[2].text
else:
title = soup.find(
'h1', class_="card-main-title").text.split('\r\n')[1]
embed1 = discord.Embed(title=title,
url=chosen_card_link,
color=discord.Color.orange())
flavor = soup.find('p', class_="card-content-description").text
if int(chosen_card_number[-4]) == 1: #follower
skill_txt = soup.find_all('p', class_="card-content-skill")
if skill_txt[0].text == '\n':
skill_u = 'None'
else:
skill_u = str(skill_txt[0]).split('>', 1)[1].split(
'</p>', 1)[0].split('\r\n')[-2]
if skill_txt[1].text == '\n':
skill_e = 'None'
else:
skill_e = str(skill_txt[1]).split('>', 1)[1].split(
'</p>', 1)[0].split('\r\n')[-2]
skill_u = clean_text_1(skill_u)
skill_e = clean_text_1(skill_e)
lang_unevo = soup.find_all(
'p',
class_="el-label-card-state l-inline-block")[0].text.split(
'\r\n')[1]
lang_evo = soup.find_all(
'p',
class_="el-label-card-state l-inline-block")[1].text.split(
'\r\n')[1]
atk_unevo = soup.find_all(
'p',
class_="el-card-status is-atk")[0].text.split('\r\n')[1]
atk_evo = soup.find_all(
'p',
class_="el-card-status is-atk")[1].text.split('\r\n')[1]
life_unevo = soup.find_all(
'p',
class_="el-card-status is-life")[0].text.split('\r\n')[1]
life_evo = soup.find_all(
'p',
class_="el-card-status is-life")[1].text.split('\r\n')[1]
embed1.add_field(
name=f'{lang_unevo}: {atk_unevo}/{life_unevo}',
value=f'{skill_u}',
inline=False)
embed1.add_field(name=f'{lang_evo}: {atk_evo}/{life_evo}',
value=f'{skill_e}',
inline=False)
else: #non-follower
skill = str(
soup.find_all('p', class_="card-content-skill")[0]).split(
'>', 1)[1].split('</p>', 1)[0].split('\r\n')[1]
skill = clean_text_1(skill)
embed1.add_field(name='Effect:',
value=f'{skill}',
inline=False)
#embed1.set_author(name='SV FAQ Bot Commands \n')
#embed1.add_field(name="__dl <code> <lang> <mode>__",
# value="Transforms deckcode into SV Portal link. \n\n",
# inline=False
# )
#embed1.add_field(name='Effect:',
# value=f'{skill} \n {flavor}')
embed1.set_image(
url=
f"https://svgdb.me/assets/cards/en/C_{chosen_card_number}.png"
) #the image itself
#embed1.set_footer(text='Yahiko#1354',icon_url="https://cdn.discordapp.com/attachments/84319995256905728/252292324967710721/embed.png") #image in icon_url
#embed1.set_thumbnail(url="https://cdn.discordapp.com/attachments/84319995256905728/252292324967710721/embed.png") #image itself
#await author.send(embed=embed1)
await ctx.send(embed=embed1)
def test_invalid_key(self):
detectlanguage.configuration.api_key = 'invalid'
detectlanguage.detect("Hello world")
import detectlanguage
detectlanguage.configuration.api_key = "7e8ac16dc6ab196f2449de5fd7d7f70b"
# Enable secure mode (SSL) if you are passing sensitive data
# detectlanguage.configuration.secure = True
print(detectlanguage.simple_detect("Buenos dias señor"))
print(detectlanguage.detect("سلام گلم"))
print(detectlanguage.detect("Oui"))
detectlanguage.user_status()
def detect_english(text):
result = dl.detect(text)
return "en" in [ e['language'] for e in result]
import detectlanguage
import json
'''This program detect the language of console
input from users using detectlanguae'''
# Input from console
input_str = raw_input("Enter your input: ")
detectlanguage.configuration.api_key = "7750ba3cec7607c4e9a95584b94bb464"
result = detectlanguage.detect(input_str)
print result[0]['language']
