def wlhome():
# This is how you do logging, in this case information messages.
app.logger.info('wlhome page requested')
allinfo = {}
lang = "TBD"
txt = None
form = LangForm()
# If the form passes this check, then its a POST and the fields are valid. ie. if the
# request is a GET then this check fails.
if form.validate_on_submit():
lang = "TBC"
txt = form.txtdata.data
form.txtdata.data = ''
try:
language_translation = LanguageTranslation(username='******',
password='******')
langsdetected = language_translation.identify(txt)
primarylang = langsdetected["languages"][0]['language']
confidence = langsdetected["languages"][0]['confidence']
lang = "I am %s confident that the language is %s" % (confidence, primarylang)
session['langtext'] = lang
allinfo['lang'] = lang
allinfo['form'] = form
return redirect(url_for('wlhome'))
except WatsonException as err:
allinfo['error'] = err
allinfo['lang'] = session.get('langtext')
allinfo['form'] = form
return render_template('watson/wlindex.html', info=allinfo)
def hello_world():
cluster = Cluster(['172.17.0.2'])
session = cluster.connect()
session.execute("CREATE KEYSPACE IF NOT EXISTS results WITH replication = {'class':'SimpleStrategy', 'replication_factor' : 3};")
session.execute("USE results;")
session.execute("create table IF NOT EXISTS result_table(translate_source text,translate_result text,analyze_result text,result_id text PRIMARY KEY);")
language_translation = LanguageTranslation(
username='******',
password='******')
f = open('translate_file.txt',"r")
line = f.readline()
translation = language_translation.translate(
text=line,
source='fr',
target='en')
translated_text = json.dumps(translation, indent=2, ensure_ascii=False)
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
analyze = json.dumps(tone_analyzer.tone(text=translated_text), indent=2)
session.execute("INSERT INTO result_table (translate_source,translate_result,analyze_result,result_id) VALUES(%s,%s,%s,%s)",(line,translated_text,analyze,1))
session.execute("SELECT * FROM result_table;")
return(analyze)
def index(request):
allinfo = {}
form = None
if request.POST:
form = Form_language(request.POST)
if form.is_valid():
data = form.cleaned_data['txtdata']
logger.info("Text to be process is %s" % data)
lang = "TBD"
try:
language_translation = LanguageTranslation(username='******',
password='******')
langsdetected = language_translation.identify(data)
primarylang = langsdetected["languages"][0]['language']
confidence = langsdetected["languages"][0]['confidence']
lang = "I am %s confident that the language is %s" % (confidence, primarylang)
except WatsonException as err:
allinfo['error'] = err
allinfo['lang'] = lang
else:
allinfo['error'] = "The form is invalid"
else:
form = Form_language
allinfo['form'] = form
return render(request, 'watson/wlindex.html', allinfo)
def Image_design():
visual_recognition = VisualRecognitionV3('2016-05-20', api_key='1c5c0cf7321c6c8712c162f7b2153ae69364c974')
with open(join(dirname(__file__), '11.png'), 'rb') as image_file:
vs = json.dumps(visual_recognition.recognize_text(images_file=image_file), indent=2)
text1=json.loads(vs)
text1=text1["images"][0]["text"]
text1 = json.dumps(text1,indent = 2)
text1 = text1.replace('\\n',' ')
text1 = text1.replace('\"',' ')
language_translation = LanguageTranslation(
username='******',
password='******')
translation = language_translation.translate(
text=text1,
source='en',
target='es')
eslang = translation
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
tone = tone_analyze(text1)
do_with_cassandra(vs,text1,eslang,tone)
return '<p>IMAGE IDENTIFY: '+vs +'</p>' + '<p>Spanish: '+eslang+'</p>'+ '<p>English: '+text1+'</p>'+'<p>TONE: '+tone+'</p>'
def wlhome():
# This is how you do logging, in this case information messages.
app.logger.info('wlhome page requested')
allinfo = {}
lang = 'TBD'
txt = None
form = LangForm()
# If the form passes this check, then its a POST and the fields are valid.
# ie. if the request is a GET then this check fails.
if form.validate_on_submit():
lang = 'TBC'
txt = form.txtdata.data
form.txtdata.data = ''
try:
language_translation = LanguageTranslation(
username=
'******',
password='******')
langsdetected = language_translation.identify(txt)
primarylang = langsdetected["languages"][0]
lang = "I am {confidence} confident that the language is {language}.".format(
**primarylang)
session['langtext'] = lang
allinfo['lang'] = lang
allinfo['form'] = form
return redirect(url_for('wlhome'))
except WatsonException as err:
allinfo['error'] = err
allinfo['lang'] = session.get('langtext')
allinfo['form'] = form
return render_template('watson/wlindex.html', info=allinfo)
def hello_world():
#This part is to connect to the cassandra
cluster = Cluster(['172.17.0.2'])
session = cluster.connect()
#Create the table in cassadra that we will need.
session.execute("CREATE KEYSPACE IF NOT EXISTS results WITH replication = {'class':'SimpleStrategy', 'replication_factor' : 3};")
session.execute("USE results;")
session.execute("create table IF NOT EXISTS result_table(translate_source text,translate_result text,analyze_result text,result_id text PRIMARY KEY);")
#This part is to use one API of the Languge Translation service
language_translation = LanguageTranslation(
username='******',
password='******')
#Read the content from a text file that you want to translate
f = open('translate_file.txt',"r")
line = f.readline()
translation = language_translation.translate(
text=line,
source='fr',
target='en')
#We get the translated text
translated_text = json.dumps(translation, indent=2, ensure_ascii=False)
#This part is to use one API of the Tone Analyzer service
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
analyze = json.dumps(tone_analyzer.tone(text=translated_text), indent=2)
#Put the origin text,translated text, and analyzed text into the table we created.
session.execute("INSERT INTO result_table (translate_source,translate_result,analyze_result,result_id) VALUES(%s,%s,%s,%s)",(line,translated_text,analyze,'1'))
session.execute("SELECT * FROM result_table;")
return analyze
def index(request):
allinfo = {}
form = None
if request.POST:
form = Form_language(request.POST)
if form.is_valid():
data = form.cleaned_data['txtdata']
logger.info("Text to be process is %s" % data)
lang = "TBD"
try:
language_translation = LanguageTranslation(
username=
'******',
password='******')
langsdetected = language_translation.identify(data)
primarylang = langsdetected["languages"][0]['language']
confidence = langsdetected["languages"][0]['confidence']
lang = "I am %s confident that the language is %s" % (
confidence, primarylang)
except WatsonException as err:
allinfo['error'] = err
allinfo['lang'] = lang
else:
allinfo['error'] = "The form is invalid"
else:
form = Form_language
allinfo['form'] = form
return render(request, 'watson/wlindex.html', allinfo)
def Image_design():
visual_recognition = VisualRecognitionV3(
'2016-05-20', api_key='1c5c0cf7321c6c8712c162f7b2153ae69364c974')
with open(join(dirname(__file__), '11.png'), 'rb') as image_file:
vs = json.dumps(
visual_recognition.recognize_text(images_file=image_file),
indent=2)
text1 = json.loads(vs)
text1 = text1["images"][0]["text"]
text1 = json.dumps(text1, indent=2)
text1 = text1.replace('\\n', ' ')
text1 = text1.replace('\"', ' ')
language_translation = LanguageTranslation(
username='******',
password='******')
translation = language_translation.translate(text=text1,
source='en',
target='es')
eslang = translation
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
tone = tone_analyze(text1)
do_with_cassandra(vs, text1, eslang, tone)
return '<p>IMAGE IDENTIFY: ' + vs + '</p>' + '<p>Spanish: ' + eslang + '</p>' + '<p>English: ' + text1 + '</p>' + '<p>TONE: ' + tone + '</p>'
def login():
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
text = json.dumps(request.get_json()["text"])
id = int(json.dumps(request.get_json()["id"]))
res = tone_analyzer.tone(text)
a = (json.dumps(tone_analyzer.tone(text), indent=2))
language_translation = LanguageTranslation(
username='******',
password='******')
tone = []
score = []
for i in range(3):
tone.append(
language_translation.translate(
text=res["document_tone"]["tone_categories"][0]["tones"][i]
["tone_name"],
source='en',
target='fr'))
score.append(
res["document_tone"]["tone_categories"][0]["tones"][i]["score"])
#b=b.encode("utf-8")
#c=c.encode("utf-8")
cluster = Cluster(['172.17.0.2'])
session = cluster.connect()
session.execute(
"""create keyspace demo3 with replication={'class':'SimpleStrategy','replication_factor':'1'};"""
)
session.execute("""use demo3""")
session.execute(
"create table users(tone_name text ,score float,tone_id int, primary key(tone_id))"
)
prepared_stmt = session.prepare(
"INSERT INTO users (tone_name,score,tone_id) VALUES (?, ?, ?)")
for i in range(3):
bound_stmt = prepared_stmt.bind([tone[i], score[i], (id * 10 + i + 1)])
stmt = session.execute(bound_stmt)
#session.execute("""insert into demo2.users(id,input)values(request.args.get("id"),request.args.get("text"));""")
##session.execute("create table demo.users(tone_name text primary key,score float,tone_id text)")
#session.execute("""insert into demo.users(tone_name,score,tone_id)values('Anger',a["document_tone"]["tone_categories"]["tones"]["score"],'anger');""")
#session.execute("""insert into demo.users(tone_name,score,tone_id)values('Disgust',a["document_tone"]["tone_categories"]["tones"]["score"],'disgust');""")
#session.execute("""insert into demo.users(tone_name,score,tone_id)values('Happy',0.2082342,'happy');""")
#session.execute("""select * from users;""")
translation = "id\ttone\tscore\t\n" + str(
id * 10 + 1) + "\t" + tone[0] + "\t" + str(
score[0]) + "\n" + str(id * 10 + 2) + "\t" + tone[1] + "\t" + str(
score[1]) + "\n" + str(id * 10 +
3) + "\t" + tone[2] + "\t" + str(
score[2])
return translation
def translations(trantext):
language_translation = LanguageTranslation(
username='******',
password='******')
translation1 = language_translation.translate(
text=trantext,
source='en',
target='es')
return translation1
def translation():
language_translation = LanguageTranslation(
username='******',
password='******')
f1 = open('trans.txt','r')
content1 = f1.read()
eslang = language_translation.translate(
text=content1,
source='en',
target='es')
return '<p>CONTENT: '+content1+'</p>'+'<p>TRANLATION: '+eslang+'</p>'
def translation():
language_translation = LanguageTranslation(
username='******',
password='******')
f1 = open('trans.txt','r')
content1 = f1.read()
eslang = language_translation.translate(
text=content1,
source='en',
target='es')
return '<p>CONTENT: '+content1+'</p>'+'<p>TRANLATION: '+eslang+'</p>'
def login():
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
text=json.dumps(request.get_json()["text"])
id=int(json.dumps(request.get_json()["id"]))
res=tone_analyzer.tone(text)
a= (json.dumps(tone_analyzer.tone(text), indent=2))
language_translation = LanguageTranslation(
username='******',
password='******')
tone=[]
score=[]
for i in range(3):
tone.append(language_translation.translate(
text=res["document_tone"]["tone_categories"][0]["tones"][i]["tone_name"],
source='en',
target='fr'))
score.append(res["document_tone"]["tone_categories"][0]["tones"][i]["score"])
#b=b.encode("utf-8")
#c=c.encode("utf-8")
cluster = Cluster(['172.17.0.2'])
session = cluster.connect()
session.execute("""create keyspace demo3 with replication={'class':'SimpleStrategy','replication_factor':'1'};""")
session.execute("""use demo3""")
session.execute("create table users(tone_name text ,score float,tone_id int, primary key(tone_id))")
prepared_stmt = session.prepare ( "INSERT INTO users (tone_name,score,tone_id) VALUES (?, ?, ?)")
for i in range(3):
bound_stmt = prepared_stmt.bind([tone[i], score[i],(id*10+i+1)])
stmt = session.execute(bound_stmt)
#session.execute("""insert into demo2.users(id,input)values(request.args.get("id"),request.args.get("text"));""")
##session.execute("create table demo.users(tone_name text primary key,score float,tone_id text)")
#session.execute("""insert into demo.users(tone_name,score,tone_id)values('Anger',a["document_tone"]["tone_categories"]["tones"]["score"],'anger');""")
#session.execute("""insert into demo.users(tone_name,score,tone_id)values('Disgust',a["document_tone"]["tone_categories"]["tones"]["score"],'disgust');""")
#session.execute("""insert into demo.users(tone_name,score,tone_id)values('Happy',0.2082342,'happy');""")
#session.execute("""select * from users;""")
translation = "id\ttone\tscore\t\n"+str(id*10+1)+"\t"+tone[0]+"\t"+str(score[0])+"\n"+str(id*10+2)+"\t"+tone[1]+"\t"+str(score[1])+"\n"+str(id*10+3)+"\t"+tone[2]+"\t"+str(score[2])
return translation
def hello_world():
#This part is to connect to the cassandra
cluster = Cluster(['172.17.0.2'])
session = cluster.connect()
#Create the table in cassadra that we will need.
session.execute(
"CREATE KEYSPACE IF NOT EXISTS results WITH replication = {'class':'SimpleStrategy', 'replication_factor' : 3};"
)
session.execute("USE results;")
session.execute(
"create table IF NOT EXISTS result_table(translate_source text,translate_result text,analyze_result text,result_id text PRIMARY KEY);"
)
#This part is to use one API of the Languge Translation service
language_translation = LanguageTranslation(
username='******',
password='******')
#Read the content from a text file that you want to translate
f = open('translate_file.txt', "r")
line = f.readline()
translation = language_translation.translate(text=line,
source='fr',
target='en')
#We get the translated text
translated_text = json.dumps(translation, indent=2, ensure_ascii=False)
#This part is to use one API of the Tone Analyzer service
tone_analyzer = ToneAnalyzerV3(
username='******',
password='******',
version='2016-05-19 ')
analyze = json.dumps(tone_analyzer.tone(text=translated_text), indent=2)
#Put the origin text,translated text, and analyzed text into the table we created.
session.execute(
"INSERT INTO result_table (translate_source,translate_result,analyze_result,result_id) VALUES(%s,%s,%s,%s)",
(line, translated_text, analyze, '1'))
session.execute("SELECT * FROM result_table;")
return analyze
# coding=utf-8
import json
from watson_developer_cloud import LanguageTranslationV2
language_translation = LanguageTranslationV2(username='******',
password='******')
# create new custom model
# with open('../resources/language_translator_model.tmx', 'rb') as custom_model:
# print(json.dumps(language_translator.create_model(
# base_model_id='en-fr', name='test_glossary', forced_glossary=custom_model), indent=2))
print(json.dumps(language_translation.get_models(), indent=2))
print(
json.dumps(language_translation.get_model('en-es-conversational'),
indent=2))
# delete custom model
# print(json.dumps(language_translator.delete_model('13860c86-ec3f-4e60-8cbe-3ef0048f92af'), indent=2))
print(
json.dumps(language_translation.translate('Hola, cómo estás? €',
source='es',
target='en'),
indent=2,
ensure_ascii=False))
print(
json.dumps(language_translation.translate('Messi is the best ever',
model_id='en-es-conversational'),
# coding=utf-8
import json
from watson_developer_cloud import LanguageTranslationV2
# Language translation was deprecated use Language Translator.
language_translation = LanguageTranslationV2(
username='******',
password='******')
# create new custom model
# with open('../resources/language_translator_model.tmx', 'rb') as custom_model:
# print(json.dumps(language_translator.create_model(
# base_model_id='en-fr', name='test_glossary', forced_glossary=custom_model), indent=2))
print(json.dumps(language_translation.get_models(), indent=2))
print(json.dumps(language_translation.get_model('en-es-conversational'), indent=2))
# delete custom model
# print(json.dumps(language_translator.delete_model('13860c86-ec3f-4e60-8cbe-3ef0048f92af'), indent=2))
print(json.dumps(language_translation.translate('Hola, cómo estás? €', source='es', target='en'), indent=2,
ensure_ascii=False))
print(json.dumps(language_translation.translate('Messi is the best ever', model_id='en-es-conversational'), indent=2))
print(json.dumps(language_translation.identify('Hello how are you?'), indent=2))
print(json.dumps(language_translation.get_identifiable_languages(), indent=2))
# coding=utf-8
import json
from watson_developer_cloud import LanguageTranslationV2 as LanguageTranslation
language_translation = LanguageTranslation(username='******',
password='******')
print(json.dumps(language_translation.get_models(), indent=2))
print(
json.dumps(language_translation.translate('Hola, cómo estás? €',
source='es',
target='en'),
indent=2,
ensure_ascii=False))
print(json.dumps(language_translation.identify('Hello how are you?'),
indent=2))
# coding=utf-8
import json
from watson_developer_cloud import LanguageTranslationV2 as LanguageTranslation
language_translation = LanguageTranslation(username='******',
password='******')
print(json.dumps(language_translation.get_models(), indent=2))
print(json.dumps(language_translation.translate('Hola, cómo estás? €', source='es', target='en'), indent=2,
ensure_ascii=False))
print(json.dumps(language_translation.identify('Hello how are you?'), indent=2))
import json
import random
from watson_developer_cloud import LanguageTranslationV2 as LanguageTranslation
languagecodes = ['ar', 'es', 'fr', 'it', 'pt']
language_translation = LanguageTranslation(
username='******', password='******')
prevlanguage = 'en'
translation = raw_input("Text to translate: ")
for i in range(10):
language = random.choice(languagecodes)
print language
translation = language_translation.translate(text=translation,
source='en',
target=language)
print(translation)
translation = language_translation.translate(text=translation,
source=language,
target='en')
print(translation)
prevlanguage = language
#finaltranslation=language_translation.translate(text=translation, source=prevlanguage, target='en')
#print(finaltranslation)