def respondUserWithWikiTranslated(page,targetLang):
if page is None:
print('IMDBot: ' + t.translate_text("Sorry, the page you are looking for is not in wikipedia", targetLang))
else:
print('IMDBot: ' + t.translate_text("Wikipedia Page of :",targetLang) + page.title)
print('IMDBot: ' + t.translate_text(str(page.summary),targetLang))
print('IMDBot: ' + t.translate_text("Here\'s the link to the full Wikipedia page: ",targetLang) + page.fullurl)
def add_message():
"""Add meesages to Message database"""
message = request.form.get("message")
author_id = g.user.user_id
timestamp = datetime.now()
chatroom_id = 1
new_message = Message(author_id=author_id,
timestamp=timestamp,
text=message,
chatroom_id=chatroom_id)
db.session.add(new_message)
# Messages on line 60 will be passed in to be translated.
# Call detect_language(text) and translate_text(target, text) functions.
languages = db.session.query(User.language).distinct()
# Loop over all existing user distinct languages. And translate the original message
# to each language. Add translated messages to database.
for language in languages:
# languages returns a list of tuples. language is still a tuple of one element.
# index language[0] to fix it.
trans_text = translate_text(language[0], message).translated_text
message_id = new_message.message_id
new_translation = Translation(message_id=message_id,
trans_text=trans_text,
language=language)
db.session.add(new_translation)
db.session.commit()
return ""
def get_audio():
global language
global input_text
translated_text = translate.translate_text(input_text, language)
result = textToSpeech.get_voice(
translated_text[0]['translations'][0]['text'], language)
return result
def parse_request():
if request.method == 'POST':
print("receiving")
url = request.json.get('url')
raw_string = OCR(url)
print(raw_string)
translated_words = translate_text(raw_string)
return jsonify(translated_words)
def receving(name, sock):
while not shutdown:
try:
tLock.acquire()
while True:
data, addr = sock.recvfrom(1024)
if data.decode()[:4] == "John":
string = translate.translate_text(str(data.decode()), 'es')
print (str(string))
elif data.decode()[:3] == "Ale":
string = translate.translate_text(str(data.decode()), 'en')
print (str(string))
except:
pass
finally:
tLock.release()
def translate():
""" REST API call to translate whatever language text to English """
query_parameters = request.args
text = query_parameters.get('text')
if not text:
return ''
translated = translate_text('en', text)
if not translated:
return ''
return translated
def process(sentence, doc_2,
answer): # Processes user input and outputs the correct response
invalid_responses = [
"I do not understand the question",
"That question is not in my database", "I cannot answer "
"that question", "I am not familiar with that question",
"I am sorry. Could you please ask another question?"
]
similarity_index = 0
index = 0
nlp = en_core_web_lg.load()
foreign_indicator = 0
#This is where input is translated into English
detected_lang = translate.detect_language(sentence)
if (detected_lang != "en"):
sentence = translate.translate_text("EN", sentence)
foreign_indicator = 1
doc_1 = nlp(preprocess(sentence))
similarity = 0
for i in range(len(doc_2)):
if doc_2[i].vector_norm and doc_1.vector_norm:
similarity = doc_1.similarity(doc_2[i])
if similarity > similarity_index:
similarity_index = similarity
index = i
if similarity_index > 0.60:
if (foreign_indicator == 1):
return translate.translate_text(detected_lang, answer[index])
else:
return answer[index]
else:
if (foreign_indicator == 1):
return (translate.translate_text(
detected_lang, random.choice(invalid_responses)) + "\n" +
wikipedia.search(sentence))
else:
return (random.choice(invalid_responses) + "\n" +
wikipedia.search(sentence))
def echo(update, context):
# Translate the incoming message text and unescape any escaped HTML characters
print("User " + str(update.effective_chat.id) + " requested translation")
translatedObject = translate_text('en', update.message.text)
translatedText = translatedObject['translatedText']
cleanedText = html.unescape(translatedText)
print
# If the original message was not in English, send the translated response to the user
if translatedObject['detectedSourceLanguage'] != 'en':
context.bot.send_message(chat_id=update.effective_chat.id,
text=cleanedText)
def image():
import click1
img_nam = click1.click2()
destination = "C://Users//Shilpa Bundela//Desktop//ocr//Rachit_GoogleApi_Project//src//" + img_nam
print(destination)
l = ocr.detect_text(destination)
print(l[0])
for i in l:
print(i)
trans = translate.translate_text(l[0])
return render_template("complete.html", output=l[0], op=trans)
def translation_list(message):
"""Show a list of translations for given message."""
languages = db.session.query(User.language).distinct()
# Loop over all existing user distinct languages.
translation_list = {}
for language in languages:
# Languages returns a list of tuples. Language is still a tuple of one
# element, index language[0] to get the language itself.
translation_list[language] = translate_text(language[0],
message).translated_text
return translation_list
def translate_image():
image_base64_str = request.get_json()['image_base64']
lang = request.get_json()['language']
print(lang)
image_name = 'image.jpg'
binary_img = base64.b64decode(image_base64_str)
g = open(image_name, "wb")
g.write(binary_img)
g.close()
default_text = jpg_to_text('image.jpg')
os.remove('image.jpg')
translated_text = translate_text(default_text, lang)
print(translated_text)
return jsonify({'word': translated_text})
def Enter_pressed():
input_get = You.get()
input_test = input_get.lower()
if (translate.detect_language(input_test) != "en"):
input_test = translate.translate_text("EN", input_test)
if input_test in bye_synonyms:
quit()
else:
messages.insert(END, "You: " + '%s\n' % input_get)
# this gets the response from the Processor.py file and then prints them out
get_response = Processor.process(input_get, question_list, responses)
messages.insert(INSERT, "Nova: " + '%s\n' % get_response)
You.set('')
messages.see(END)
return "break"
def message_all(message):
"""Send a message to all active client connections.
The message is formatted as JSON before sending.
"""
original = message['message']
for connection in client_connections:
if connection.lang:
message['message'] = translate_text(original, connection.lang)
print("Translated message before sending to ", message)
else:
message['message'] = original
m = json.dumps(message)
connection.write_message(m)
print("messaged {} clients".format(len(client_connections)))
def upload():
target = os.path.join(APP_ROOT, 'images/')
print("target = ", target)
if not os.path.isdir(target):
os.mkdir(target)
for file in request.files.getlist("file"):
print("file = ", file)
filename = file.filename
destination = "/".join([target, filename])
print("destination = ", destination)
file.save(destination)
l = ocr.detect_text(destination)
print(str(l))
trans = translate.translate_text(
"HOW TO WRITE ALT TEXT AND IMAGE DESCRIPTIONS FOR THE VISUALLY IMPAIRED"
)
return render_template("complete.html", output=l, op=trans)
def ask(self, raw_input_string):
"""
:param raw_input_string: Users question as raw string
:return: Bots response as string
"""
query = self.cleaner.clean(raw_input_string)
if "translate" in query:
return translate.translate_text(query.replace("translate", ""))
elif "tweet" in query:
return twitter.get_tweets()
elif "wolfram" in query:
return wolfram.wolfram_query(query.replace("wolfram", ""))
else:
results = self.es.search(query)
if len(results) > 0:
return results[0]["_source"]["response"]
from random import randint
return DEFAULT[randint(0, len(DEFAULT) - 1)]
tweets = []
pages = [1, 2, 3, 4]
fn = ["。", "?", "、、、", ":", "？", "!", "！", "...", "笑"]
for p in pages:
results = API.user_timeline(screen_name="D_kazuyan", exclude_replies=True, include_rts=False, count=200, page=p)
for r in results:
if not r.retweeted:
text=re.sub(r'https?://[\w/:%#\$&\?\(\)~\.=\+\-…]+', "", r.text)
text=re.sub('RT', "", text)
text=re.sub('┃━━━━━━━━━━━━━┃', "", text)
text=re.sub('お気に入り', "", text)
text=re.sub('会食恐怖症', "", text)
text=re.sub('質問箱', "", text)
text=re.sub(r'(#[^\s]+)', "", text)#ハッシュタグ
text=re.sub(r"@([A-Za-z0-9_]+)", "", text)#メンション
text=re.sub(r'[︰-＠]', "", text)#全角記号
text=re.sub('\n', "", text)#改行文字
if text and text[-1] not in fn:
text += "。"
tweets.append(text)
# tweets.append(translate_text(text))
line = "".join(tweets)
line += translate_text(line)
# print(line)
with open("tweet.txt", "wt", encoding="UTF-8") as f:
f.write(line)
# print(tweets)
# for page in pages:
# results = api.user_timeline(screen_name="D_kazuyan", count=200)
# print("Hello world")
def translate_text():
data = request.get_json()
input_text = data['text']
output_language = data['to']
response = translate.translate_text(input_text, output_language)
return jsonify(response)
def setUp(self):
self.translated_text = translate.translate_text()
print(self.translated_text)
def test_too_many_arg(self):
self.assertRaises(TypeError, translate.translate_text(), ('ru', 'en'))
print(
'IMDBot: Whose wikipedia page would you like to find out about?'
)
actorName = input(f'{userName}: ')
# the user can ask to translate the language in wikipedia part.
# if the user chooses to translate, everything in wikipedia part will be converted to target Language
if ("translate" in actorName):
print(
'IMDBot: Please enter the language code you need me to translate to (i.e: "de", "ja", etc)'
)
targetLang = input(f'{userName}: ')
print('IMDBot: ' + t.translate_text(
"Whose wikipedia page would you like to find out about?",
targetLang))
actorName = input(f'{userName}: ')
wikipage = w.findPage(wikipedia,
actorName) # get the page of the actor
if targetLang != "en":
w.respondUserWithWikiTranslated(wikipage, targetLang)
else:
w.respondUserWithWiki(wikipage)
if (wikipage is not None):
print(
'IMDBot: Would you like me to print the page as a text file? (y/n)'
)
