def translate_api():
start_time = datetime.datetime.now()
text = request.json['text']
languages = request.json['languages']
savetext = 'savetext' in request.json and request.json['savetext'] == True
if languages == 'eng-cat':
openNMT = openNMT_engcat
else:
openNMT = openNMT_cateng
# print("Input:" + text)
tokenizer = TextTokenizer()
sentences, translate = tokenizer.tokenize(text)
results = _launch_translate_threads(openNMT, text, sentences, translate)
translated = tokenizer.sentence_from_tokens(sentences, translate, results)
if savetext:
saved_filename = os.path.join(SAVED_TEXTS, "source.txt")
with open(saved_filename, "a") as text_file:
t = text.replace('\n', '')
text_file.write(f'{languages}\t{t}\n')
time_used = datetime.datetime.now() - start_time
words = len(text.split(' '))
usage = Usage()
usage.log(languages, words, time_used)
result = {}
result['text'] = text
result['translated'] = translated
result['time'] = str(time_used)
return json_answer(result)
def upload_file():
file = request.files['file']
email = request.values['email']
model_name = request.values['model_name']
if file.filename == '':
result = {}
result['error'] = "No s'ha especificat el fitxer"
return json_answer(result, 404)
if email == '':
result = {}
result['error'] = "No s'ha especificat el correu"
return json_answer(result, 404)
if file and _allowed_file(file.filename):
filename = uuid.uuid4().hex
fullname = os.path.join(UPLOAD_FOLDER, filename)
file.save(fullname)
save_file_to_process(fullname, email, model_name)
logging.debug("Saved file {0}".format(fullname))
result = []
usage = Usage()
usage.log(model_name, 0, datetime.timedelta(), 'file')
return json_answer(result)
result = {}
result['error'] = "Error desconegut"
return json_answer(result, 500)
def recognize_api():
if 'file' not in request.files:
return 'No file part'
file = request.files['file']
if file.filename == '':
return 'No filename'
time = datetime.datetime.now()
try:
with tempfile.NamedTemporaryFile() as temp_file:
recognizer = Recognizer()
filename = temp_file.name
file.save(filename)
text = recognizer.get_text(filename)
used = datetime.datetime.now() - time
usage = Usage()
usage.log()
return "Text reconegut: [{0}] - temps usat {1}".format(text, used)
except ValueError as e:
return (
"No és un fitxer d'àudio en format PCM WAV, AIFF/AIFF-C o FLAC ",
400)
def search_request():
source = request.args.get('source')
target = request.args.get('target')
project = ','.join(request.args.getlist('project'))
search = Search(source, target, project)
View = WebView()
result = View.do(search)
usage = Usage()
usage.log()
return result
def search_request():
source = request.args.get('source')
target = request.args.get('target')
project = ','.join(request.args.getlist('project'))
search = Search(source, target, project)
View = WebView()
result = View.do(search)
usage = Usage()
usage.log()
return result
def search_api():
source = request.args.get('source')
target = request.args.get('target')
page = request.args.get('page')
project = ','.join(request.args.getlist('project'))
search = Search(source, target, project)
results = SearchAPIResults()
json = results.do(search, page)
usage = Usage()
usage.log()
return json
def voice_api():
text = request.args.get('text')
token = request.args.get('token')
voice = request.args.get('voice') or "ona"
if voice not in ["ona", "pau"]:
return ("Bad Request", 400)
if token is None or getMD5(text) != token.lower():
return ("Forbidden", 403)
txt2wave = '/usr/bin/text2wave'
lame = '/usr/bin/lame'
with tempfile.NamedTemporaryFile() as encoded_file,\
tempfile.NamedTemporaryFile() as wave_file,\
tempfile.NamedTemporaryFile() as mp3_file:
text = _normalize(text)
f = open(encoded_file.name, 'wb')
f.write(text.encode('ISO-8859-15', 'ignore'))
f.close()
cmd = '{0} -o {1} {2} -eval "({3})"'.\
format(txt2wave, wave_file.name, encoded_file.name, festival_voices[voice])
p = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE)
p.wait()
cmd = '{0} -f {1} {2}'.\
format(lame, wave_file.name, mp3_file.name)
p = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE)
p.wait()
usage = Usage()
usage.log()
return send_file(mp3_file.name,
mimetype="audio/mp3",
as_attachment=False,
attachment_filename=mp3_file.name)
def apertium_translate_process(values):
global translate_calls, translate_chars
translate_calls += 1
start_time = datetime.datetime.now()
text = None
text = values['q']
translate_chars += len(text)
langpair = values['langpair']
savetext = 'savetext' in values and values['savetext'] == True
languages = _convert_apertium_languages_aliases_to_iso639_3(langpair)
if savetext:
saved_filename = os.path.join(SAVED_TEXTS, "source.txt")
with open(saved_filename, "a") as text_file:
t = text.replace('\n', '')
text_file.write(f'{languages}\t{t}\n')
openNMT = openNMTs[languages]
translated = openNMT.translate_parallel(text)
result = {}
result = _get_bias_message_if_needed(languages, text, result)
time_used = datetime.datetime.now() - start_time
words = len(text.split(' '))
usage = Usage()
usage.log(languages, words, time_used, 'form')
responseData = {}
responseData['translatedText'] = translated
result['responseStatus'] = 200
result['responseData'] = responseData
result['time'] = str(time_used)
return json_answer(result)
